SYSTEM ADAPTED FOR RECHARGING ELECTRIC VEHICLES

专利摘要:
A system adapted for recharging electric vehicles. The system comprises recharging devices (RECH) comprising an optimization module configured to build a recharge profile representative of a first charging electric power adapted to be delivered by the recharging device for recharging an electric vehicle, and a regulation module adapted to regulate the electric power supplied by the recharging device and comprising a first operating mode in which the regulation module applies the recharge profile, and a second operating mode in which the device delivers a second power. charging device, a coordination device (COOR) adapted to communicate with the charging devices, the coordination device (COOR) being adapted to trigger a coordinated optimization phase during which charging devices (RECH) build a recharge profile from an individual recharge data generated by the corresponding optimization module and a coordination signal (SIGNi) generated by the coordination device (COOR), and trigger a coordinated regulation phase during which recharging devices (RECH) implement the second mode of operation, the second corresponding charging electric power being determined at least from a state data of the electrical power supply network determined by the coordination device from measurements representative of a state of the network during a time interval preceding said considered instant.
公开号:FR3060887A1
申请号:FR1662726
申请日:2016-12-19
公开日:2018-06-22
发明作者:Olivier Beaude；Bayram Kaddour；Bertrand Augustin；Julien Pennec；Alban Jeandin
申请人:Electricite de France SA；
IPC主号:

专利说明:

(57) a system suitable for recharging electric vehicles.
The system includes recharging devices (RECH) comprising an optimization module configured to build a recharging profile representative of a first electric recharging power adapted to be delivered by the recharging device for recharging an electric vehicle, and a regulation module adapted to regulate the electric power supplied by the recharging device and comprising a first operating mode in which the regulation module applies the charging profile, and a second operating mode in which the device delivers a second power electric charging, a coordination device (COOR) adapted to communicate with the charging devices, the coordination device (COOR) being adapted to trigger a coordinated optimization phase during which charging devices (RECH) build a recharge profile based on individual recharge data generated by the module e corresponding optimization and a coordination signal (SIGNi) generated by the coordination device (COOR), and trigger a coordinated regulation phase during which recharging devices (RECH) implement the second mode of operation, the second corresponding recharging electric power being determined at least on the basis of a data item of the electrical power supply network determined by the coordination device from measurements representative of a state of the network carried out during 'a time interval preceding said instant considered.

i
System suitable for recharging electric vehicles
The field of the invention relates to the charging of electric vehicles, and in particular to systems allowing the charging of a plurality of such vehicles.
With the increase in the fleet of electric vehicles, the devices configured to ensure the recharging of these vehicles are themselves intended to increase substantially in number. However, the use of these recharging devices can have a significant impact on the electrical network to which they are connected.
Indeed, recharging an electric vehicle requires substantial electrical power, especially in view of the electricity consumption made by other uses of a residential type installation.
This impact is all the more marked as the number of electric vehicles connected to the grid for recharging is large.
In order to account for this phenomenon, charging approaches have been developed in which the charging of a given electric vehicle is considered in conjunction with that of other vehicles.
However, known approaches of this type have drawbacks.
Indeed, they are generally rigid, in particular in that they limit the quantity and the nature of the phenomena to which the recharging of a fleet of electric vehicles can be backed up.
The invention therefore aims to improve the situation.
To this end, the invention relates to a system suitable for recharging electric vehicles, the system comprising:
a plurality of recharging devices respectively adapted to supply regulated electric power for recharging electrical energy of at least one electric vehicle, the recharging devices being intended to be connected to an electrical energy supply network, each charging device being intended to be connected to said network via a delivery point at which the charging device is configured to draw electrical energy to supply said regulated electrical power, each charging device comprising:
an optimization module configured to build a recharging profile associated with a recharging time range and representative of a first electric recharging power adapted to be delivered by the recharging device during said recharging time range for recharging electric vehicle, and
- a regulation module adapted to regulate the electric power supplied by the recharging device, the regulation module comprising:
a first operating mode in which the regulation module is configured to regulate the electric power delivered at the output so as to match said electric power to the first recharging electric power during at least part of the associated recharging time range, and
a second operating mode in which it is configured to regulate the electrical power delivered at the output to make it correspond to a second electrical charging power,
- a coordination device adapted to communicate with recharging devices, the coordination device being adapted to:
- trigger a coordinated optimization phase involving a group of recharging devices comprising all or part of the recharging devices of said system and during which each recharging device involved builds a recharging profile intended to be implemented in the first mode operating at least from a portion of individual charging data generated by the corresponding optimization module at least from forecasts of electrical consumption of other electrical equipment connected to the corresponding delivery point for the charging range time, and on the other hand a coordination signal generated by the coordination device from individual recharging data generated by all or part of the recharging devices involved, and
- trigger at a given moment a phase of coordinated regulation involving all or part of the system's recharging devices, during which the regulation module of each of said recharging devices involved in the coordinated regulation phase implements the second mode of operation, the second corresponding recharging electric power being determined at least on the basis of a data item of the electrical power supply network determined by the coordination device from measurements representative of a state of the network carried out during 'at least one time interval preceding said instant considered.
According to one aspect of the invention, during the coordinated regulation phase, the recharging devices involved are configured to implement a collective operating mode of the second mode of operation, the second mode of operation of the regulation module. of each recharging device further having an individual sub-mode of operation in which the second recharging electric power is determined independently of said state data of the electric power supply network determined by the coordination device from measurements representative of a state of the network carried out during a time interval preceding said instant considered.
According to one aspect of the invention, in the individual operating sub-mode, the regulation module is configured to determine the second electrical recharging power at least as a function of electrical consumption data from other electrical equipment connected to the delivery point. corresponding measured during said time range and the first recharging power of the recharging profile.
According to one aspect of the invention, for recharging devices involved in a coordinated optimization phase and having a recharging profile, the recharging time range of which includes the start time of the coordinated optimization phase, the recharge determined during the coordinated optimization phase replaces said recharge profile once determined.
According to one aspect of the invention, the optimization module of a recharging device is configured to determine the individual recharging data in addition at least from one of:
a behavior in recharging of an electric energy storage device of the electric vehicle that the recharging device is intended to recharge,
a need for electrical energy from the electrical energy storage device of the electric vehicle for recharging said electrical energy storage device,
- a tariff of electrical energy representative of a cost of the electrical energy to be supplied to the electrical energy storage device for its recharging,
- electrotechnical behavior of an electrical protection device at the associated delivery point,
- a maximum electrical power that the recharging device is sized to deliver.
According to one aspect of the invention, for the coordinated optimization phase, each regulation module is configured to generate the recharging profile at the end of an iterative process of which each intermediate step comprises the generation of recharging data. temporary individual, sending said temporary individual recharging data to the coordination device, and receiving a temporary coordination signal generated by the coordination device from the temporary individual recharging data of the various recharging devices involved, the temporary individual recharging data being constructed as individual recharging data from the previous stage updated from the temporary coordination signal received during the previous stage, the recharging profile being constructed from the recharging data individual built updated from the coordina signal tion received during the last stage or an intermediate stage, the initial stage being carried out from the individual charging data and the coordination signal.
According to one aspect of the invention, the coordination device is configured to generate the coordination signal at least from an estimate of the impact on the electrical supply network of the individual charging data of the charging devices involved in the coordinated optimization phase.
According to one aspect of the invention, the coordination device is configured to generate the coordination signal at least from the sum of the individual recharging data.
According to one aspect of the invention, each individual recharging datum is representative of a recharging profile defining values of the first electric recharging power over a recharging time range.
According to one aspect of the invention, the coordination device is configured to trigger the coordinated regulation phase in response to the verification of at least one condition, at least one condition of which relates to a comparison between a capacity of a region of the network. of electrical power covering all or part of said power network and an electrical consumption generated by charging devices and other electrical equipment connected to said region.
According to one aspect of the invention, the recharging devices intended to be involved in said phase of coordinated regulation are those connected to said region.
According to one aspect of the invention, the coordination device is in the form of a device remote from the recharging devices.
According to one aspect of the invention, the coordination device comprises a plurality of coordination modules respectively coupled to one of the recharging devices of the system, each coordination module being configured to communicate with the other recharging devices of the system and for supply the coordination signal to the recharging device with which it is associated.
The invention further relates to a method for recharging a plurality of electric vehicles by means of a system comprising:
a plurality of recharging devices respectively adapted to supply regulated electric power for recharging electric energy of at least one electric vehicle, the recharging devices being intended to be connected to an electric power supply network, each charging device being intended to be connected to said network via a delivery point at which the charging device is configured to draw electrical energy to supply said regulated electrical power, each charging device comprising:
an optimization module configured to build a recharging profile associated with a recharging time range and representative of a first electric recharging power adapted to be delivered by the recharging device during said recharging time range for recharging electric vehicle, and
- a regulation module adapted to regulate the electric power supplied by the recharging device, the regulation module comprising:
a first operating mode in which the regulation module is configured to regulate the electric power delivered at the output so as to match said electric power to the first recharging electric power during at least part of the associated recharging time range, and
a second operating mode in which it is configured to regulate the electrical power delivered at the output to make it correspond to a second electrical charging power,
- a coordination device adapted to communicate with the recharging devices, the method comprising:
- perform a coordinated optimization phase involving a group of charging devices comprising all or part of the charging devices of said system and during which each charging device involved builds a charging profile intended to be implemented in the first mode operating at least from a portion of individual charging data generated by the corresponding optimization module at least from forecasts of electrical consumption of other electrical equipment connected to the corresponding delivery point for the charging range time, and on the other hand a coordination signal generated by the coordination device from the individual recharging data generated by all or part of the recharging devices involved, and
- at a given time, carry out a coordinated regulation phase involving all or part of the system's recharging devices, during which the regulation module of each of said recharging devices involved in the coordinated regulation phase implements the second mode of operation, the second corresponding recharging electric power being determined at least on the basis of a data item of the electrical power supply network determined by the coordination device from measurements representative of a state of the network carried out during 'at least one time interval preceding said instant considered.
The invention further relates to a computer program comprising instructions for implementing the method as defined above when executed by a processor.
- Ligure 1 is a schematic illustration of a system according to the invention;
- Ligure 2 is a schematic illustration of a device for recharging the system of Ligure 1;
- Ligures 3A and 3B are schematic illustrations of quantities considered during a recharging time range;
- Ligure 4 is a block diagram of an operating method of the system according to the invention.
Figure 1 illustrates a SYS system according to the invention. The SYS system is suitable for recharging EV electric vehicles, in particular for the simultaneous charging of a plurality of VE vehicles.
Each EV electric vehicle is configured to ensure at least all or part of its propulsion from electric energy. For this purpose, each VE vehicle comprises a storage device STO for the storage of electrical energy and the restitution thereof at least to a propulsion unit (not shown) of the VE vehicle ensuring the propulsion of the vehicle at least from of electrical energy. It is noted that this propulsion can also be provided in whole or in part from gasoline or diesel type fuel. Each vehicle also comprises a socket adapted to be connected to a socket which is complementary to a recharging device of the SYS system described below for the transfer of electrical energy between the vehicle and the recharging device in question, in particular at less for recharging the STO storage device with electrical energy.
The SYS system is intended to be connected to an R power supply network via which electrical energy is transported, and in particular routed to the SYS system for recharging EV vehicles.
The network R is connected to at least one electricity production installation P configured to generate electrical energy and inject this electrical energy onto the network R for use by users connected to the network.
The network R considered in the context of the invention covers any surface. For example, it can be a network that spans a neighborhood, city, region, country, or even a continent.
The network R comprises a transport portion T, a medium-voltage portion HT and a low-voltage portion BT. In known manner, the medium-voltage HV and low-voltage LV portions jointly form a distribution portion of the network.
The transport portion T forms a global component of the network R which allows the transport of electricity over great distances. The LV low-voltage portion forms a local component of the network via which the users are connected to the rest of the network R. The HV medium-voltage portion typically forms a junction component between the LV portion and the transport portion T.
These portions (the network R in general) define nodes of the network connected to each other by network segments. The nodes include, for example, one or more pieces of equipment suitable for converting electrical energy to pass it from one given format to another (for example differing from each other at least by different voltage values). The segments include for example wiring.
The network, its portions, its nodes and the segments between the nodes present a given dimensioning, which results for example by the existence of capacities of these various elements, in particular in terms of admissible electrical power, admissible intensity and tension eligible.
Note that in Figure 1, the HV medium-voltage portions are illustrated as being all connected to the transport portion by the same node. However, in the context of the invention, this may not be the case. In particular, the low-voltage and medium-voltage portions involved can be geographically distant, and correspond to different regions of the same country.
Referring to Figure 1, the SYS system according to the invention comprises a plurality of RECH recharging devices and a COOR coordination device.
Each RECH charging device is suitable for recharging at least one EV vehicle with electrical energy. To this end, it is configured to draw electrical energy from the network R and provide regulated electrical power for recharging this VE vehicle.
With reference to Figure 2, each RECH charging device is connected to the network R by a PDL delivery point to which are also connected electrical equipment EQi configured to draw electrical energy from the network R.
The EQi equipment and the RECH charging device are part of an installation I. This installation corresponds, for example, to a place of residence. For example, EQi equipment is at least partially installed inside a home. The recharging device is for example arranged outside.
Alternatively, this installation is a tertiary place such as a place of commerce or a business. The installation includes, for example, a car park around which or at which the charging device is arranged.
In general, the invention finds its application whatever the installation I.
Preferably, the EQi equipment and the recharging device constitute all of the elements capable of drawing electrical energy at the point of delivery. In other words, only the EQi equipment and the RECH charging device are suitable for extracting electrical energy at the PDL delivery point.
The PDL delivery point is intended for the supply of electrical energy to EQi equipment and the RECH device.
In practice, the PDL delivery point corresponds to the connection interface between the network R and the electrical component of the installation I to which the EQi equipment and the RECH device belong. It includes for example one or more electrical devices configured to operate this connection.
For example, the PDL delivery point includes a counting device COMP for the counting of the electrical energy and / or the electric power drawn at the delivery point by the EQi equipment and the RECH device.
Advantageously, the counting device COMP is configured to deduct at least the electric power and the electric energy drawn by these elements over time. It is noted that the counting of electric power can be carried out on the basis of the counting of electric energy related to units of time.
Advantageously, the COMP metering device is adapted to categorize the electrical energy drawn from the PDL delivery point into uses and measure the consumption for each of these uses. These uses each correspond to a type of activity from a predetermined set.
For example, for a residential installation I, these uses include the heating of installation I, the refrigeration of installation I, the production of domestic hot water, the lighting of installation I, a cooking use , corresponding to the use of electric energy for cooking, a washing use corresponding to the use of electric energy to wash, a use called brown products, corresponding to a use of electric energy for the operation of household appliances such than televisions, etc.
We note that this categorization in uses is optional.
In addition, the counting device COMP is configured to communicate with the associated recharging device RECH, in particular for the supply of data representative of the consumption, for example of the power, of the equipment EQi and collected by it over time. It is noted that the data communicated at a given instant relate to an instant immediately preceding this instant, or / and relate to more distant instants.
In addition, the counting device COMP is configured to communicate with the coordination device COOR, in particular to provide it with the measurements taken. Any suitable technology for this, such as powerline technology (CPL), can be used.
The PDL delivery point advantageously also includes a PROT protection device configured to protect the electrical installation defined by the EQi equipment and the RECH device and the elements connecting them to the delivery point. This PROT protection device advantageously comprises a cut-off member. It is noted that this breaking device can be hardware, and includes for example a circuit breaker, and / or software.
Note that this protection device PROT is optionally integrated into the counting device, and this at least in part.
In the context of the invention, the PDL delivery point is configured to deliver a maximum electrical power, denoted Pmax. This maximum power is for example determined according to the racking subscription purchased from a supplier for the delivery point. This power Pmax is for example less than or equal to 36 kVA.
As previously indicated, EQi equipment is configured to operate at least in part on electrical power.
This EQi equipment corresponds for example to conventional equipment equipping a place of residence, such as radiators, light fixtures, household appliances, an oven, hotplates, a water heater, etc. Another type of equipment envisaged relates to servers, for example data servers, which are for example gathered within structures commonly called "data centers", which comes from English and can be translated by data center.
As previously indicated, the RECH charging device is specifically designed to recharge the EV electric vehicle with electric energy from the electric energy it draws at the PDL delivery point. In particular, provision is made to supply the vehicle VE with regulated electrical power Pout.
Furthermore, it is configured to communicate with the delivery point PDL, in particular the counting device COMP, with the electric vehicle VE and with the coordination device COOR. These communications are for example implemented by any known means, such as the Internet, ZigBee, WiFi, wired means, in particular a pilot wire for communications with the vehicle.
The device RECH comprises a PRI socket, a memory MEM and a processing module TRA. In addition, it includes an OPT optimization module, a REG regulation module and an MA learning module. Advantageously, it further comprises a man-machine interface, hereinafter HMI interface.
The PRI socket is intended to be connected to the EV electric vehicle to electrically connect it to the charging device, in particular for recharging the electric vehicle. To this end, the vehicle itself comprises a socket of complementary shape intended to cooperate with the PRI socket, as indicated above.
The PRI socket is for example of known invoice. It is for example in the form of a female socket, the socket carried by the vehicle being of the male type.
The memory MEM includes programs whose execution by the processing module TRA allows the operation of the recharging device.
Advantageously, it also includes DA training data described below.
In addition, it advantageously includes DM measurement data. These measurement data are representative of measurements, in particular of electrical power, drawn off by the EQi equipment over time. These data notably define a CONSO power curve (Figure 3B) representative of the electric power drawn by the EQi equipment at the delivery point as a function of time.
These data are constructed from consumption data generated by the counting device and sent to the RECH device, for example at regular frequency. This data includes, for example, the consumption curve of the delivery point not including consumption relating to the recharging of the electric vehicle.
It is noted that the memory MEM can correspond to a plurality of separate storage memories, such as for example one or more volatile memories and / or one or more non-volatile memories. The various data are for example distributed between these separate memories.
The TRA processing module is configured to control the various elements of the RECH recharging device for their proper functioning.
The processing module TRA comprises for example one or more processors.
In the example of Figure 1, the optimization module OPT, the regulation module REG and the learning module MA have been represented as dedicated modules. In practice, they can take any form. In particular, they can be software, hardware or include a software component and a hardware component.
For example, the optimization module OPT comprises a software component stored in the memory MEM and the execution of which by the processing module TRA results in the implementation of the functionalities described below.
The same applies to the regulation and learning modules. Concerning the regulation module, this advantageously comprises a hardware regulation device, comprising for example one or more converters configured to deliver at output the regulated electric power delivered by the recharging device RECH.
With reference to Figures 2, 3A and 3B, the optimization module OPT is configured to build a recharge profile Pr associated with a recharge time range PTr. The charging profile Pr is representative of a first electric charging power PI, or first power PI, adapted to be delivered at the output of the RECH device to the vehicle VE during the range PTr for its charging. In other words, for each given instant of the recharging time range PTr, the recharging profile is defined by the power PI at this instant, this power PI varying a priori over time.
The PTr range corresponds to the time range during which the electric vehicle is recharged. This range begins at an instant t_init and ends at an instant t_fin.
The instant t_init is for example defined as a function of the instant of the connection of the vehicle VE to the recharging device. For example, it corresponds to this instant.
Advantageously, it is posterior to it. More specifically, it advantageously corresponds to the moment when the recharging device begins to send electrical energy to the vehicle for recharging. The time interval between the connection of the vehicle and this instant is for example used for the implementation of an initial stage of preparation of the recharging device described below and during which a recharging profile Pr is constructed. It is noted that this preparation can also be implemented, or at least begin, before the instant of connection of the vehicle, for example when the vehicle is intended to remotely supply the recharging device with information relating to its electrical energy needs. .
The instant t_fin corresponds to the instant at which the recharging of the VE vehicle is considered to be completed. In practice, from this moment, no electrical energy is then provided to the vehicle for recharging until it is disconnected from the PRI socket.
The instant t_fin is for example known before the instant t_init. In this case, the instant t_fin is for example predetermined as a function of information received by the recharging device RECH. This information is for example from the VE vehicle itself, or is entered by a user, for example via the HMI interface.
Alternatively, this instant is determined, for example by the optimization module OPT. Indeed, this instant is for example an element of the result of the process of construction of the recharge profile.
The recharge range PTr is for example subdivided into consecutive intervals I (n-1), I (n), I (n + 1) taken into account in the context of the operation of the recharge device RECH.
These intervals are for example regular (that is to say all having the same duration), their duration being for example of the order of a second. Alternatively, these intervals are not all of the same duration. For example, in a first mode of operation of the device described below, they have a regular duration, for example of an order of magnitude of the order of a minute. In a second operating mode, they are for example also regular, with a duration for example of the order of a second.
The PTr recharge profile for example has a continuous configuration in pieces. For example, the profile defines for each interval considered a single value of the power PI constant over this entire interval.
Several methods are possible for the construction of the profile. In a first case in which the RECH charging device proceeds in a decoupled manner from the other RECH charging devices in the system, the charging profile is constructed independently of the coordination device and of information relating to the R network and to the other charging devices. (this information is detailed below).
In a second case, this construction takes account of information emitted by the coordination device and referring to other recharging devices and / or to the state of the network R.
As described in more detail below, the determination of the recharge profile according to the methods of the first case is advantageously used in the context of the construction of the recharge profile according to the second case. More specifically, the recharge profile of the first case is used as the starting element of the construction according to the second case.
In general, the charging profile Pr is constructed at least as a function of forecasts of electrical consumption PC (Figure 3B) of the equipment EQi which is adapted to draw electricity at the delivery point PDL with which the charging device RECH is associated . These forecasts cover at least part of the PTr range, and advantageously the entire PTr range.
The consumption forecasts are established before the start of the PTr charging range.
These forecasts advantageously correspond to the cumulative forecast consumption on the various EQi equipment, and thus define the expected behavior of the only elements capable of taking electrical energy at the delivery point outside the RECH device.
For example, these forecasts come in the form of a variable electric power as a function of time.
These forecasts are for example determined in a known manner, for example from a GAM model, which is the English acronym for "Generalized Additive Model", which can be translated as "generalized additive model".
For example, they are established from DM measurement data, which define a consumption history of the EQi equipment. Advantageously, they are more specifically established on the basis of measurement data corresponding to time slots covering those of the recharging time range PTr. These forecasts are for example based on forecasts for each use associated with the PDL delivery point. These forecasts by use are, for example, themselves determined from DM measurement data, which can represent the consumption of the different uses of EQi equipment over time.
Advantageously, the forecasts made at a given instant are determined at least as a function of the measurement data DM of the consumption of the equipment EQi relating to a period of time immediately preceding this instant. In other words, the most recent consumption data are taken into account for the construction of the forecasts.
The recharge profile Pr is also determined as a function of the maximum power Pmax that the delivery point can deliver.
Advantageously, that is to say optionally but advantageously, the recharging profile Pr is also determined as a function of at least one of:
- charging behavior of the STO storage device of the electric vehicle,
- the electrical energy requirement of the STO storage device of the electric vehicle for recharging it,
- a price for the electrical energy supplied by the PDL delivery point for recharging the vehicle,
- the electrotechnical behavior of the PROT device at the PDL delivery point,
- an electrical power capacity of the RECH charging device, that is to say a maximum electrical power that the RECH charging device is itself sized to deliver.
The charging behavior of the STO device is representative of the charging operation of the storage device. This behavior includes for example considerations relating to one or more constraints concerning the electrical power received, such as its value relative to a lower bound to be exceeded and / or an upper bound not to be exceeded, or to variations in power during time not to be exceeded. This behavior can alternatively or in parallel include a consideration relating to the number of load interruptions observed during the PTr period, which is for example to be kept below a predetermined value.
In practice, this behavior in recharging the STO device is representative of characteristics of the recharging of the STO storage device which it is preferable to observe so as not to damage it.
The energy requirement of the STO storage device corresponds to a state of charge of the storage device prescribed for the mobility requirement of the vehicle. This need is, for example, a function of the amount of electrical energy stored in the STO device when it is connected to the RECH device, as well as a desired amount of electrical energy at the end of the charge. Note that the final state of charge does not necessarily correspond to a full recharge of the STO storage device.
This quantity of electrical energy desired at the end of charging is for example supplied to the RECH device, for example by the user via the HMI interface or the VE vehicle. Alternatively, it is estimated, for example by the optimization module or by any other equipment of the RECH recharging device, such as a dedicated module. This estimate is for example constructed from vehicle usage data. This usage data is for example supplied by the vehicle to the device RECH, which stores it in the memory MEM. For example, this data includes a history of trips made with the vehicle. This history includes or is for example determined from GNSS positioning data (for “Global Navigation Satellite System”, which means global positioning satellite system) representative of positions that the vehicle has taken over time, and that the device RECH obtains from the VE vehicle.
In practice, the electrical energy requirement of the recharging device is for example in the form of a state of charge to be reached at the end of the PTr range.
The price of electric energy is representative of the cost of electric energy drawn or to be drawn at the delivery point for recharging the electric vehicle. In other words, it is the price of recharging the vehicle with electricity that the RECH device is intended to achieve. In known manner, this price (i.e. the tariff) is determined from the unit cost associated with a unit of measurement of electricity, typically a kilowatt hour (kWh). However, in known manner, this unit of measurement of electricity is associated with a price, for example in euros per kilowatt hour, which can differ from one time slot to another.
For example, the price is determined on the basis of data stored in the memory which includes price indexes as a function of time adapted to be matched with price data, for example supplied by a remote device. It should be noted that these price indexes may be updated, for example triggered by external equipment, or at regular frequency.
The electrotechnical behavior of the PROT protection device is representative of its operation as a function of the power drawn off at the PDL delivery point, and in particular of the conditions for switching it between a state where it authorizes the withdrawal of energy. electric at the point of delivery by the recharging device and EQi equipment, and a state where it prevents this racking, in particular in order to protect installation I.
For example, the protection device PROT can be configured to allow the maximum power Pmax to be exceeded for a short period of time (corresponding to a predetermined number of intervals I (n)), but switches to a state which no longer allows racking beyond this time. We note that the period of time in question is for example predetermined according to the amplitude of the overshoot.
In practice, this behavior models the reaction of the protection device to events concerning the safety of the electrical component of installation I.
Advantageously, the optimization module OPT is configured to determine the recharging profile Pr as the optimal solution of an optimization problem with at least one objective and at least one constraint. As described in more detail below, advantageously, this problem is considered within the meaning of a multi-criteria approach, the methods of which are described below.
By "objective" is meant the quantity to be minimized in the optimization problem. By "constraint" is meant a condition to be verified by the solution of the problem.
The objectives and constraints adopted differ depending on whether one places oneself in the first case or in the second case.
In the first case, for example, the objective or objectives are chosen from the cost (price) associated with recharging the electric vehicle, the maximum value of the electric power drawn off at the delivery point during the recharging of the vehicle (c ' that is to say the highest of the values taken by the cumulative power for Γ powering of the equipment and the recharging of the vehicle by the device RECH during the period PTr) and the completion of the recharging of the vehicle VE as soon as possible.
Advantageously, these three objectives are taken into account, the recharging profile according to the first case then being constructed as an optimal solution of a problem of minimizing the maximum value of the electric power drawn at the point of delivery by the recharging device and the others. equipment for the recharging time range, a total cost of the electrical energy to be supplied by the delivery point for the recharging time range and the end of charging time.
In general, the constraint or constraints according to the first case are advantageously chosen from: the maximum power Pmax, the exceeding of which is to be prevented (or at least limit), the need for electrical energy of the vehicle, which conditions the quantity of energy total supplied to the vehicle during the PTr period, and the charging behavior of the STO storage device, which aims to prevent recharging of the STO device which could damage it. Any combination of these constraints can be used.
It is noted that the exceeding of the power Pmax can be authorized as soon as this excess is operated under conditions which do not induce a tilting of the protection device in its cut configuration not authorizing withdrawal at the delivery point.
In the context of the construction of the recharging profile according to the second case, advantageously one retains at least one additional objective and / or at least one additional constraint.
The additional objective (s) are advantageously chosen from:
the maximum electric power accumulated on all electric vehicles recharged or to be recharged by all or part of the RECH recharging devices of the SYS system. ; an impact on the state of the network of recharges carried out or to be carried out by all or part of the RECH recharging devices.
As described in more detail below, the charging devices considered for both of these objectives are those involved in the so-called coordinated optimization phase (described below) leading to the construction of a profile. charging according to the second case for all these charging devices.
Advantageously, the additional constraint corresponds to a constraint relating to the network R, for example to the low-voltage portion LV connecting the delivery point PDL associated with the rest of the network R (but not necessarily of the network LV). This constraint relates for example to one (or more) electrical voltage, electrical intensity or electrical power defining one or more upper and / lower limits not to be crossed, or even a frequency. These elements can be seen as capacities of the power supply network.
For example, a given constraint relates to the value of such a capacity for a network element, or to the value associated with a set of network equipment by forming a region. This region may or may not coincide with a given portion.
For example, a power constraint can relate to a given node.
It is noted that advantageously, one or more constraints relate to a set of so-called pilot nodes. These nodes are chosen from within the network and define network reference points. For example, the choice of these nodes is made so that satisfaction of a constraint associated with these nodes is considered to be representative of satisfaction of this constraint by the entire network.
The constraints from which one chooses include, for example, a frequency associated with the entire network, one or more voltages associated with a given item of equipment or set of equipment, an intensity associated with the LV low-voltage portion of the network, a electrical power associated with one or more nodes (for example at pilot nodes), etc.
With regard to the detail of the construction of the recharging profile, in particular according to the first case, this construction is advantageously based on a multi-criteria approach.
For example, to the problem we associate a metric defined from several sub-metrics respectively associated with one of the objectives. Each sub-metric is weighted by a chosen form factor. The metric is for example defined as a combination, for example linear, of the different sub-metrics.
Each sub-metric has for example a value corresponding to the associated objective, for example the tariff, the instant of end of charge, the value of the maximum power reached during the track.
From the data of the problem thus modeled, the recharge profile is determined, for example by resolution technique by linear programming in whole numbers (acronym PLNE)
Alternatively, we can use a so-called hierarchical method (method sometimes known as the constrained epsilon method), in the context of which we proceed on each sub-metric sequentially. In this context, one or more constraints are added, for example, on the submetrics other than that commonly considered to prevent deterioration of their performance.
The detail of the determination of a recharging profile according to the second case is given below with reference to the COOR coordination device.
Advantageously, the optimization module OPT is further adapted to update the charging profile Pr. It is for example adapted to do this during the range PTr, the updating relating to at least part of the portion remaining of the time range, and advantageously at least all of this remaining portion. In practice, this update can be seen as the replacement of the recharge profile commonly used by a new recharge profile whose PTr recharge range covers all or part of the remainder of the PTr recharge time range of the recharge profile previously used. , and optionally extends beyond.
This update is for example implemented on command, for example received from the regulation module or from the coordination device.
Alternatively, the OPT optimization module initiates this update itself.
Advantageously, this update is implemented in response to the detection of the verification of one or more conditions described below.
For the update as such, the optimization module OPT is configured to update the data used for the construction of the initial recharging profile, and to determine the updated profile from this updated data. .
For example, the OPT optimization module is configured to update the consumption forecasts used for the construction of the recharge profile previously used, for example from the DM measurement data received since the start of the PTr range. Advantageously, when the vehicle's electrical energy requirement is used, it is configured to update it, for example by taking into account the partial satisfaction of this requirement via the electrical energy already supplied to the VE vehicle during the range. PTr.
It is noted that this update can result from the triggering by the coordination device of a coordinated optimization step described below and involving the recharging device, this triggering forming, for example, the condition used above. The updated profile then corresponds to a profile constructed according to the second case.
When the update of the profile is triggered on the initiative of the recharging device, it is advantageously implemented on the sole basis of local information, that is to say information independent of the other recharging devices and of the coordination device as well as of the network R, and this regardless of the case according to which the commonly used recharging profile has been determined (first case or second case). In other words, it then corresponds to a construction of recharge profile according to the first case. However, this construction advantageously takes into account at least the partial satisfaction of the electrical energy requirement of the vehicle VE when this element is used for the construction of the recharging profile.
Still with reference to FIG. 2, the regulation module REG is configured to regulate the electric power Pout actually supplied by the device RECH to the vehicle VE during the period PTr. This Pout power is variable over time.
The REG regulation module comprises a first operating mode in which it is configured to regulate the power Pout to make it correspond to the power Pl of the charging profile Pr.
In other words, in this first mode of operation, the regulation module supplies a regulated electrical power backed by the power P1 determined by the optimization module, which is then the power prescribed for the output of the recharging device RECH.
In practice, within the framework of this operating mode, the charging profile Pr commonly considered (and likely to be replaced by another newly constructed forming an updated profile) is applied.
It is noted that for reasons of real functioning of the recharging device which does not correspond to an ideal case, the power Pout may be slightly different from the power PI then prescribed, in particular at least temporarily during a change in value of the power PI , for example when passing from one interval to another.
In addition, the REG control module comprises a second operating mode in which it is configured to regulate the power Pout to make it correspond to a second prescribed power P2. This power P2 is a priori variable over time.
As before, the power Pout may be slightly different from the power P2 for reasons of non-ideal operation of the recharging device.
The power P2 is advantageously determined by the regulation module REG itself, or else by another module which then communicates to it the value of this power over time (which can then be seen as being part of the regulation module.
Advantageously, the power P2 is constructed as a sum between on the one hand the power PI (at the corresponding instant) and, on the other hand a regulation quantity (which can take negative values) representative of an adjustment of the PI power.
This regulation quantity can in particular be representative of a divergence between the actual state of the installation I and its state as expected during the construction of the charging profile Pr determined by the optimization module OPT.
In practice, the value of PI being known, the processing carried out to determine P2 essentially relates to this regulation quantity.
The second mode of operation includes:
- an individual operating mode; and;
- a collective operating sub-mode.
In the context of the individual sub-mode, the control quantity is advantageously determined on the basis of only local information, in other words information relating to the only installation I considered. In particular, the regulation quantity is independent of the data sent by the COOR coordination device and the other recharging devices, as well as the state of the network at the times considered. It is noted that this is in particular true for the data considered apart from the value of PI at the corresponding times, which it may have been determined on the basis of the information provided by the coordination device.
In the context of the collective sub-mode, the magnitude of the regulation is advantageously determined at least on the basis of information from the COOR coordination device, and advantageously on the basis of local information also, for example of the same nature as those used. as part of the individual operating mode.
In the context of the individual operating sub-mode, the power P2 is advantageously determined as a function of the maximum electrical power Pmax. Furthermore, it is determined as a function of the measurement data DM supplied by the counting device COMP to the device RECH concerning the electrical power drawn by the equipment EQi, and more specifically from data defining the power curve CONSO drawn by the equipment. EQi connected to the PDL delivery point considered.
Advantageously, these measurement data are processed by the REG regulation module to constitute a short-term forecast of the power that the EQi devices are intended to extract from the PDL delivery point. For example, by "short term" is meant that this forecast relates to the consumption forecast for all or part of all of the future intervals located within a predetermined number of intervals of the current interval, for example of the order of 10 intervals. This horizon is for example 10, 20 or even 30 intervals. In other words, this forecast relates to one or more future intervals that are less than s intervals from the current interval. The forecasts advantageously relate to a set of consecutive intervals, such as for example any number between 1 and 15 intervals according to the current interval, or else according to an interval itself future belonging to the horizon considered.
The details of the determination of these forecasts are for example known.
The second power P2 (at least in individual submode) is also determined as a function of the power PI, that is to say the recharging profile determined by the optimization module.
Advantageously, the second power P2 (at least in individual submode) is also determined from at least one of:
- the electrotechnical behavior of the PROT protection device at the PDL delivery point,
- a charging constraint of the electric vehicle representative of at least one range of electric power values Pout which is excluded,
- a maximum number of stops of the electric vehicle charge by the RECH recharging device during the recharging time range, that is to say, occurrences of situations in which P2 is zero.
An element that can also be taken into account is the power capacity of the RECH recharging device, that is to say a maximum power that the RECH recharging device is itself sized to deliver.
As before, the electrotechnical behavior of the PROT device is representative of its response to events occurring on the electrical component of the installation and at the delivery point, in particular when the Pmax power is exceeded by the total power drawn at the PDL delivery point. .
In practice, this behavior is taken into account in the form of a model, for example defined by one or more rules. One of these rules relates, for example, to the fact that exceeding the power Pmax can be operated but cannot then exceed a certain value and must not remain checked over a period of a duration greater than a predetermined duration. For example, these rules are in the form of one or more charts.
Thus, for example, the power P2 is constructed as a function of this or these rules, at least one of which incorporates one or more conditions relating to the exceeding of Pmax.
It is noted that, alternatively, the taking into account of Pmax can be implemented in the form of an upper limit of the power P2 which must not be exceeded, even over a very short period.
As indicated above, the exclusion of ranges of Pout values and the maximum number of stops of the load constitute conditions relating to the recharging of the vehicle in conditions which do not induce its deterioration.
For example, for the individual sub-mode, the approach used to determine the control quantity for the determination of P2 for the different intervals is based on a heuristic approach.
For example, within the framework of this approach, for a given time interval, the value of the regulation quantity is chosen from a plurality of discrete values respectively associated with a state of the local components of the system among several possible states. These components include the PDL delivery point, the RECH charging device, the EV electric vehicle and the electrical equipment EQi associated with the PDL delivery point connecting the RECH charging device in question.
The values in question can for example be determined at least from PI.
This state of the system (i.e. of its local components) is determined from the elements considered for the determination of P2. The elements selected are for example successively analyzed, each element giving rise to the retention of one or more values among a plurality of possible values, and this so as to retain only a single value. For example, the analysis of at least one element is adapted to give rise to the retention of a single value of the regulation quantity, and this at least for the last element analyzed. Elements other than the latter can lead to the retention of a single value, thereby interrupting the sequence of analysis of the elements.
Note that for a given element, the possible values from which the selected value (s) are chosen are for example defined according to the result of the analysis of the preceding criterion or criteria. In other words, the second criterion analyzed can lead to the retention of possible values (among which the selection is made thereafter) different depending on the result of the analysis of the previous criterion, and the third taking into account the first and / or the second, and so on for the various elements analyzed.
For example, with regard to short-term forecasts, if it is determined for a time interval (future relative to the current interval) that the difference between Pmax and the consumption forecasts is less than a threshold value, the selected value of the control variable is chosen so that the power P2 is zero or minimum.
It is noted that certain values can be excluded over time, for example following their selection a predetermined number of times during all or part of the past time intervals.
In the context of the collective operating sub-mode, the power P2 is determined at least on the basis of state data of the electric power supply network determined by the coordination device from measurements representative of a state of the network carried out during a time interval preceding said instant considered. Note that the network state data can be a forecast of the network state determined from the measurements in question. The state taken into account corresponds for example to a value of a quantity associated with an element or a set of elements (defining for example a region of the network), as described above, relative to the corresponding capacity.
The approach adopted is, for example, analogous to that implemented for the determination of P2 in the individual sub-mode, except that it involves the coordination device. This determination is detailed below.
The REG regulation module is adapted to switch between the first operating mode and the second operating mode. In addition, it is suitable for switching between the two operating modes of the second operating mode.
Advantageously, the switchover carried out is carried out in response to the verification of at least one condition.
The condition (s) used depend, for example, on the direction in which the switchover is made, as well as on the sub-mode to which the REG module switches when it switches to the second operating mode.
For the switch to the collective sub-mode, only one condition is used, for example. This condition is, for example, the reception by the RECH recharging device of a tilting command sent by the COOR coordination device.
For switching to the individual sub-mode, at least one condition known as the first condition is used.
Advantageously, at least one first condition is defined on the basis of the consumption of the equipment as provided by the optimization module for the construction of the charging profile Pr, and this for at least one time interval, and of a function magnitude. the consumption of the EQi equipment as measured, advantageously during the charging range PTr, that is to say the power supplied by the CONSO curve.
The time interval (s) considered are future and / or past.
For each interval passed, the quantity corresponds directly to the consumption (i.e. the electrical power) of the equipment as measured for the interval considered. Thus, for this interval are taken into account the forecast consumption of EQi equipment and their consumption as measured.
For each future interval, the quantity is also a forecast of consumption of EQi equipment for this interval. This forecast is for example constructed at least from recent DM measurement data, for example relating to one or more intervals separated from the considered interval of a predetermined maximum duration (which is reflected for example in the form of the taking taking into account the last k data received from the PDL delivery point relating to the consumption of EQi equipment). The methods of this first forecast are for example those implemented within the framework of the second operating mode, and correspond to short-term forecasts.
Advantageously, the condition relates to the difference between the consumption forecast by the optimization module and the consumption as measured or forecast on the basis of more recent consumption data, in particular obtained from measurements carried out during the time period of recharging PTr .
Advantageously, the condition is constructed to be verified if a quantity representative of the observed deviation is greater than a threshold value for a predetermined number of consecutive intervals (for example greater than or equal to 1) associated with this condition.
In practice, the quantity analyzed (which optionally corresponds to an absolute value) can correspond to a conventional difference. However, other calculation methods can be envisaged, so that a difference is only an example of a possible operation.
Note that this condition can be taken as the only changeover condition.
Advantageously, at least one of the first conditions is defined as a function of the comparison between the maximum electrical power Pmax and a quantity representative of a total electrical power to be supplied by said delivery point for the recharging device and said other equipment at during said recharging time range.
In other words, this quantity is defined on the basis of the total power requested or likely to be requested by the equipment EQi and the recharging device during one or more time intervals of the range PTr.
The quantity has a given value during a given interval. In other words, it represents the electric power withdrawn or planned to be withdrawn by the RECH device and the equipment for each instant of this interval.
The quantity considered is for example associated with a past time interval. In this configuration, the quantity is constructed from the DM measurement data for the consumption of the equipment, as well as the history of the power Pout supplied (which is for example stored in the memory during the operation of the recharging device RECH). Alternatively, the value (or values) of P2 for the interval considered is taken into account.
Alternatively, the quantity considered is associated with a future interval. In this configuration, the quantity is constructed from consumption forecasts of the EQi equipment associated with the corresponding PDL delivery point, for example such as those generated by the optimization module OPT or by the regulation module REG. In addition, the electrical power associated with the RECH device corresponds to the value of Pl predicted by the recharging profile for this instant.
In practice, the quantity is for example constructed to correspond to the sum of the consumption of the EQi equipment (planned or carried out) and that of the recharging device (planned, carried out respectively) for the associated interval.
The comparison carried out corresponds for example to a difference between Pmax and the cumulative power consumed on the EQi equipment and the RECH recharging device.
Advantageously, the condition is constructed from the value of the quantity for different consecutive intervals. In addition, it is constructed to be checked if the value of this quantity exceeds the maximum power Pmax for a predetermined number of consecutive intervals. In other words, the condition is detected as verified if it is verified for a chosen number of consecutive intervals.
Advantageously, the intervals in question are future intervals, so that the RECH device thus assesses the future state of the delivery point PDL and anticipates potentially problematic events.
This number of intervals is advantageously predetermined according to the operation of the protection device PROT, and corresponds or approaches, for example, the maximum duration of exceeding Pmax that it can tolerate without blocking the withdrawal at the delivery point.
Alternatively, this number is taken equal to one (a single interval is then considered).
To trigger the switchover from the second operating mode to the first operating mode of the regulation module, advantageously, at least one condition called the second condition is used.
Advantageously, at least one second condition is defined as a function of the comparison between the maximum electrical power of the delivery point and a second quantity representative of a total electrical power to be supplied by the delivery point for the recharging device and said other equipment. .
This second quantity is for example identical to the quantity used for switching from the first operating mode to the individual sub-mode of the second operating mode (the values of this quantity considered, however, are a priori associated with other intervals).
The second condition is for example constructed to be verified if the difference between the power Pmax and the value of this second quantity is less than a predetermined value during one or more intervals. Preferably, the intervals considered are future intervals.
Alternatively or in parallel, the or a second condition taken into account is defined as a function of the consumption of the EQi equipment as measured, that is to say the power supplied by the CONSO curve, and the consumption of the equipment as provided by the optimization module for building the recharging profile, for at least one time interval.
For example, this condition is close to the first condition described above. For example, it is identical, except that it is considered to be verified when the quantity representative of the difference between the PC forecast and consumption as measured (for past intervals) or the forecast constructed from measurements (for future intervals) is less than a predetermined threshold value on the interval or intervals retained for this condition. This threshold value may be different from that used in the first condition. The second condition can also differ from it in particular by the number of intervals taken into account.
Still referring to Figure 2, the MA learning module is configured to generate the DA training data. These data are advantageously used in the context of the operation of the OPT optimization module, and / or of the operation of the REG regulation module.
Advantageously, the DA training data includes forecast training data.
This forecast learning data is provided to allow the improvement of the forecasts made by the optimization module and / or the regulation module based on the operation of the RECIT recharging device over time. This data is for example generated from statistical data concerning the modes of operation of the regulation module, on the switches between these modes, on the power Pout delivered, on the data of need for recharging collected from the vehicle, on the connection schedules. of the vehicle and / or on the consumption forecasts previously made.
Advantageously, this data includes forecast configuration data used for determining the consumption forecasts determined by the RECIT recharging device in general, and this regardless of the forecast method used, for example a GAM type method, a method of aggregation of experts or a learning method of the “Deep Learning” type (which comes from English and can be translated as deep learning).
Advantageously, the training data also include optimization training data intended to refine the methods for determining the recharge profile Pr over time from the data used.
This data advantageously includes resolution setting data, which includes for example values of the weighting factors of the sub-metrics used for the construction of the recharge profile. These values are adjusted over time. As before, these adjustments are advantageously carried out on the basis of the data collected during the operation of the RECIT recharging device.
The training data advantageously includes regulation training data configured to refine the operation of the regulation module, in particular of the second operating mode, over time.
This data includes, for example, regulation parameterization data defining one or more rules relating to the determination of the regulation quantity. These regulation configuration data condition, for example, the values resulting from the analysis of all or part of the elements retained, the order of analysis of the elements retained and / or the nature of the elements retained.
As before, these data are advantageously constructed on the basis of the data collected during the operation of the RECH device.
The learning data is for example constructed by the learning module on the basis of learning rules which define the configuration of the learning module.
These learning rules are based, for example, on a method for evaluating the decisions made by the components of the RECH recharging device (in particular the OPT and REG modules). The evaluation of a decision, such as for example the construction of a given recharge profile or the determination of a value of the regulation quantity, rests for example on the comparison between this decision and at least one simulation of this decision made with one or more other elements of the decision having been modified (such as for example, for the determination of the regulation quantity, the nature of an element retained for the determination of P2, the order of the elements and / or the values retained for the analysis of each element). This comparison is configured to result in the evaluation of the decision implemented, for example via one or more quantified indicators, and the adjustment of the learning data according to the evaluations carried out.
In practice, these learning rules define the way in which the different learning data are generated from the operating information of the recharging device RECH collected over time, and advantageously the nature and the form of the data resulting from the operation of the RECH recharging device which are used for the generation of learning data via the learning rules.
As previously indicated, this learning data is optionally used by the regulation module and the optimization module for the implementation of their functionality. When they are, they are used for the resolution techniques implemented and / or for constructing the data used as input for this resolution. Alternatively, when they are not, the OPT and REG modules use other values, for example predetermined values. It is noted that these predetermined values can be subject to modifications, for example in the form of updates during which the RECH recharging devices are updated, for example in situ by an operator, or even remotely.
Advantageously, the RECH recharging devices are configured to exchange all or part of their learning data with each other. Also, advantageously, the training data of a given recharging device are also constructed as a function of the training data received from the other recharging devices. Advantageously, this taking into account of the learning data of other recharging devices is carried out following a first phase during which the learning data are generated solely on the basis of the data collected by the recharging device.
In some embodiments, a given recharging device receives training data from a strict subset of the RECH recharging devices in the system (which may correspond to a single recharging device). For example, the content of this subset can be defined as a function of one or more criteria, for example geographic proximity, similarity in terms of respective I installations, EQi equipment coupled to the corresponding PDL delivery point, etc.
The HMI interface includes, for example, a display and / or one or more input buttons (possibly combined with the display in the form of a tactile display). This interface is intended for data entry by the user, such as for example a date and time chosen for the end of the recharging time range and / or for the disconnection of the vehicle, as well as for the display of information. intended for the user, such as information relating to the charge of the vehicle, in particular the time of end of charge, the corresponding state of charge, etc.
The COOR coordination device is configured to coordinate the operation of the system's RECH recharging devices.
To this end, it is configured to communicate with the various recharging devices, and advantageously this in a bidirectional manner. In addition, it is configured to communicate with the delivery points, in particular the COMP metering devices, to obtain measurements of electrical consumption relating to the SYS system on the network scale, at least of the portion of the network connected to the points of PDL delivery serving the RECH recharging devices of the SYS system.
At least two approaches are possible for the general configuration of the COOR coordination system.
In a centralized approach illustrated in Figure 1, the COOR coordination device is an autonomous device located at a location in the SYS system.
In a distributed approach, the COOR coordination device comprises a plurality of coordination modules respectively arranged at, near, or inside one of the RECH recharging devices. Advantageously, each RECH recharging device of the system is then coupled to a coordination module. As part of this approach, each coordination module is adapted to communicate with RECH charging devices other than the one to which it is coupled.
The following description will be made with reference to the centralized approach, the elements for transposition to the distributed approach being also provided.
The COOR coordination device comprises a memory M and one or more PROC processors configured to execute programs contained in the memory M for the proper functioning of the COOR coordination device, as well as a communication interface for communicating with the others elements of the SYS system and PDL delivery points.
The COOR coordination device is configured to trigger a collective optimization phase involving all or part of the RECH recharging devices, and aiming at the construction, for each RECH device involved, of a recharging profile Pr taking into account the other RECH recharge. In other words, this phase aims at the construction of PR charging profiles constructed according to the second case by RECH charging devices.
Regarding the RECH charging devices involved, several methods are possible.
In one case, all RECH recharging devices are involved. This is reflected in particular by updating the profiles Pr of the charging devices having a current charging profile.
In another case, only the charging devices commonly performing recharging of an electric vehicle are involved.
In another case, only RECH charging devices that have declared themselves as awaiting a coordinated optimization phase are involved. This declaration is, for example, implemented automatically by the RECH charging devices, for example when an electric vehicle is connected to them. This declaration is optionally conditioned, for example by a user preference setting.
These groups of RECH devices can be combined, a coordinated optimization phase involving for example both the devices being charged and those having declared themselves awaiting such a phase.
For the needs of the coordinated optimization phase, the COOR coordination device is configured to generate and send at least one coordination signal SIGNi (where i indexes the RECH recharging devices of the SYS system) to at least one RECH recharging device .
In a centralized approach, it is configured to generate and send such a SIGNi signal to each RECH device.
In a distributed approach, the various coordination modules are configured to generate a signal SIGNi intended for the recharging device RECH to which it is coupled, this signal also being supplied to the other coordination modules.
Each SIGNi coordination signal is generated from individual charge data received from the charging devices involved.
This individual recharging data advantageously corresponds to a recharging profile Pr determined by the recharging device RECH considered, as detailed below.
Advantageously, the coordinated optimization phase is carried out iteratively.
During an initial stage, each recharging device involved generates temporary individual recharging data, here a temporary recharging profile, preferably according to the first case, that is to say from only local information. This temporary recharging profile is sent to the COOR coordination device (to each coordination module if applicable). On the basis of the different charging profiles (individual charging data in general), the COOR coordination device generates the coordination signals and sends them to the charging devices involved.
In the next step, each recharging device updates the temporary recharging profile from the coordination signal received. ETOnce this update is made, each recharging device sends an individual recharging data item modified to take account of the updating of the recharging profile. The COOR coordination device then generates new coordination signals on the basis of the updated individual recharging data.
This step is iterated until, for each RECH charging device involved, it reaches a final charging profile which is retained as a result of the coordinated optimization phase and which then becomes the current charging profile of the charging device (possibly replacing the previous one).
The iterations advantageously stop in response to the verification of at least one condition.
EThere is a condition, for example, on a predetermined number of iterations that the coordinated optimization phase includes. Alternatively or in parallel, a condition is constructed to be verified when a quantity representative of a stability of the temporary recharging profiles of the recharging devices is verified.
This condition is for example representative of the fact that the temporary charging profiles of all or part of the charging devices involved are little or not modified during at least one new step.
This condition is based for example on the use of one or more metrics whose values are evaluated at each stage, the condition being satisfied when this or these metrics have values which satisfy one or more criteria, for example of variation of this or these values from one step to the next.
Note that the number of iterations of this phase can vary from one charging device involved to another. In other words, the RECH recharging devices may not carry out all of the steps and exit the coordinated optimization phase independently of the other recharging devices. The recharging profile resulting from this phase is then, for example, that resulting from the last step carried out, which for example then only includes updating the recharging profile on the basis of the coordination signal received during the latter. Note that the recharge profile can be a recharge profile obtained during any intermediate step.
In other words, the conditions verified can be associated with a strict subset of the RECH devices involved, in particular a subset corresponding to one (or more) recharging devices.
As regards the content of the coordination signal SIGNi itself, several embodiments are possible.
In one embodiment, this signal is representative of the sum of all or part of the charging profiles of the charging devices involved (for example transmitted in an encoded form). In other words, the coordination signal sent to a recharging device RECH is representative of the sum of the individual recharging data received during the step considered.
In one embodiment, this signal is representative of a state of the supply network. More specifically, it is advantageously representative of a state of the network as estimated for one or more time intervals, including at least one future interval. This estimate is determined from the individual recharge data received.
In practice, this estimate relates to the state of the entire network or only a part, for example a portion of the network, such as the low-voltage portion and / or the medium-voltage portion via which the RECH charging device considered is connected to the network of the network. However, this estimate can integrate a portion of the larger network than the only portion connecting the PDL delivery point associated with the charging device in question to the rest of the network R.
This estimate includes for example a distribution of the electric power, the electric voltage, the electric intensity and / or harmonics on the region of the network R considered, for example at each node and / or on each segment connecting the nodes of this region. Such distributions are for example known under the name of "load flow" in English, which can be translated by distribution of power flows.
The detail of the determination of such a distribution from the recharge profiles of all or part of the RECH recharge devices received is for example known.
In certain advantageous embodiments, the coordination signal SIGNi is representative of these two elements.
For the determination of a recharge profile according to the second case on the basis of the coordination signal SIGNi, a multi-criteria approach is used within the framework of which a metric is associated with each objective, the metrics being weighted by a chosen form factor and combined with each other (for example linearly) to form a global metric used as a starting point for solving the problem (for example via a solving method identical to that used in the first case).
With regard to the collective objective or objectives, the value of the corresponding metric is taken equal to the content of the coordination signal SIGNi which relates to this objective.
In other words, if the impact on the network of vehicle recharging is used as an objective, the signal SIGNi includes data representative of the estimated state of the network (ie on the considered region of the network), this data being taken as value for the corresponding metric (possibly after operation to transform it into a quantified quantity). If the cumulative power to recharge vehicles on all (or part) of the charging devices involved is used, the coordination signal includes a corresponding datum taken for the value of the associated metric.
Note that the coordination signal can be different from one charging device to another. In particular, the region considered for a charging device may not be identical to the region considered for another charging device, so that their respective signals will not be representative of the state of the same region of the network and will therefore be a priori different. In addition, the population of charging devices considered to sum the charging profiles may differ from one charging device to another.
The coordinated optimization phase is for example triggered in response to the verification of at least one condition. This condition relates for example to the lapse of a predetermined period of time since the last phase of coordinated optimization in date, optionally specifically targeting recharging devices in a particular state (during charging, without charging, declared pending a coordinated optimization phase, etc.). Alternatively or in parallel, a condition relates to the reaching of a number of RECH recharging devices in a predetermined state (number optionally reduced to the number of RECH devices in the system). For example, if 20% or more of the recharging devices have declared themselves awaiting a coordination phase, this is triggered.
In addition to triggering this coordinated optimization phase, the COOR coordination device is suitable for triggering a coordinated regulation phase.
This phase involves a plurality of RECH recharging devices. In addition, it involves all or part of the RECH charging devices currently in the process of charging an EV vehicle.
During this coordinated regulation phase, the RECH recharging devices involved are switched to the collective operating sub-mode of the second operating mode in response to the triggering of this phase. This triggering is for example caused by the COOR coordination device, which sends a signal to this effect to the corresponding RECH recharging devices.
The COOR coordination device is for example configured to trigger such a phase in response to the verification of at least one condition.
Advantageously, at least one condition relates to the state of all or part of the network R. Advantageously, it relates to the difference between a capacity of a region (forming part of the network or covering the entire network), advantageously a capacity of electrical power over the region considered defining a maximum power value for this region (corresponding for example but not necessarily to the maximum effective power that this region is sized to tolerate), and the sum of the electrical consumptions achieved or planned for the points of PDL delivery associated with the SYS system and connected to this region of the R network.
This electrical power capacity is for example taken as being the power capacity of the node and / or the segment of this most dimensioning region, or else of a combination of several dimensioning capacities. These elements are for example at the disposal of the coordination device, where they are for example recorded there in memory.
For example, this difference is quantified for one or more intervals including a past and / or future interval, the condition being configured to be verified if this difference (or a quantity representative of this state) is less than a predetermined value on the intervals considered. As indicated, the sum of the electrical powers can be a forecast made at least on the basis of the consumption of the various PDL delivery points considered as measured, advantageously during recent intervals.
It is noted that a condition can be associated with a predetermined region of the network (such as part of the LV or HV portions, or even the entire network), the verification of this condition then defining the recharging devices involved in the phase of regulation coordinated as being those connected to the region associated with the condition verified. The possible different conditions used and respectively associated with different regions of the network are then all analyzed, for example at regular time intervals.
It should also be noted that coordinated regulation phases can be carried out in parallel. They then respectively imply different RECH recharging devices.
Within the framework of a coordinated regulation phase, the power P2 is determined on the basis of elements chosen from among the elements from which one chooses to determine P2 in the context of the individual submode. In addition, it is determined on the basis of the coordination signal SIGNi received by the device RECH considered. In practice, the content of the signal SIGNi is then specific to this operating mode.
For example, for the determination of P2 in this sub-mode, we also retain a heuristic approach.
For a given interval, an initial power P2 is determined in a manner analogous to the manner in which this is done for the individual submode. The initial powers P2 determined by the RECH devices involved are sent to the coordination device, which in return generates a signal SIGNi for each RECH device. Depending on the content of the SIGNi signal, the power P2 is adjusted.
For example, this adjustment is made by selecting from a plurality of possible values of P2 as a function of the content of the signal. These possible values are for example determined as a function of the initial value of P2 sent to the COOR coordination device. Optionally, at least one of these values is provided by the COOR coordination device, or even all of them are.
It is noted that this determination can be carried out on the basis of the regulation quantity in place of P2.
In addition, this determination can be carried out iteratively for one or more intervals, the initial value of P2 being updated and sent to the COOR coordination device at each step until the end of the iterations (for example triggered according to a criterion of stability of the solutions or a predetermined number of steps which may vary from one charging device considered to another).
A method of operating the SYS system will now be described with reference to the Figures, in particular to Figure 4.
During an initial stage SI, within the SYS system, certain RECH recharging devices are being recharged, and the others are not. Some of those who are not, for example, have declared themselves awaiting a coordinated optimization phase with the coordination mechanism.
Some of the RECH charging devices have a pre-built Pr charging profile defining the schedule for the electrical power that it is intended to deliver to an electric vehicle connected to the RECH charging device for recharging during the corresponding time recharge PTr, or else they already implement, typically with their REG regulation module operating according to the first operating mode. Other RECH charging devices, for example those recently activated, do not yet have such a charging profile.
During a step S2, a coordinated optimization phase is triggered by the coordination device, this targeting all or part of the RECH recharging devices. This triggering is for example operated in response to the verification of the corresponding condition or conditions.
The progress of the coordinated optimization phase is carried out as described above, and results in the establishment of a recharge profile Pr for each RECH device involved.
During a step S3, the charging profiles Pr determined during step S2 are implemented by the corresponding charging devices RECH, which then operate according to the first operating mode or else according to the individual sub-mode of the second operating mode (possibly after switching). To this end, the power Pout is regulated by the regulation modules to correspond to the power PI defined by the previously determined recharging profile, respectively to the power P2 in particular determined from the power PI of the newly determined recharging profile.
During a step S4, the COOR coordination device triggers a coordinated regulation phase involving all or part of the RECH recharging devices.
The corresponding devices then operate according to the collective sub-mode of the second operating mode (possibly after switching if they did not implement this sub-mode beforehand), the corresponding power P2 then being determined as indicated above.
Referring to Figures 3A and 3B which illustrate the operation of the system from the perspective of a given RECH charging device, the RECH charging device whose operation is illustrated is connected to the electric vehicle which it is intended to charge at a instant.
At a later time t0, the recharging device RECH is involved in a coordinated optimization phase, which results in a recharging profile Pr. This takes place for example after the device has declared that it expects such a phase from the device coordination.
At the instant t_init corresponding to the start of the recharging time range PTr, the recharging device RECH begins to implement the recharging profile in the first operating mode (for example) and supplies a regulated power Pout for correspond to the power PI of the recharging profile (at the corresponding times).
At the same time, it analyzes the conditions for triggering an update of the charging profile, as well as the switch to the second operating mode, in particular the individual sub-mode. For example, at time tl, these conditions for switching to the individual sub-mode of the second mode are met, for example because the difference between the forecast consumption of EQi equipment (associated with the corresponding PDL delivery point) established on the basis of measurements made during the PTr range and the forecast of this consumption established for the construction of the recharging profile becomes greater than the associated predetermined value.
Once in this individual sub-mode, it delivers the regulated power Pout to correspond to the power P2 whose value is determined according to the modalities of this sub-mode. In addition, it analyzes the conditions for switching to the first operating mode. These conditions are for example met at time t2, here for example because the difference between the forecast of consumption of EQi equipment determined on the basis of recent DM measurement data and the forecasts of this consumption used for the construction of the recharge profile becomes less than the threshold quantity used to trigger this changeover.
It then returns to the first operating mode in which it delivers a regulated Pout power to correspond to the PI power.
At time t3, the COOR coordination device detects that the conditions for triggering a coordinated regulation phase are met (or the condition if only one is used). Here, the condition relates to the fact that the difference between the admissible electrical power capacity over a region denoted r (R) of the network, advantageously connecting the device RECH to the rest of the network R, and the cumulative consumption of the recharging devices RECH and EQi equipment connected to this region r (R) becomes less than a threshold value, and this over the interval or intervals considered (possibly future, in which case the cumulative power is forecast). This power capacity is denoted P (r) in FIG. 3B, the cumulative power above being denoted Pzxr) The RECH devices involved, including the illustrated RECH recharging device, then switch to the collective mode of the second operating mode, in which they deliver a Pout power regulated to correspond to P2, the value of which is determined according to the modalities of this sub-mode.
At the same time, the recharging device RECH monitors the conditions for switching to the first mode, as well as the conditions for triggering an update of the recharging profile Pr (which remains involved in determining the power P2 forming a setpoint of the power Pout in the second operating mode, as described above).
For example, one of these conditions for triggering the updating of the charging profile Pr is defined as a function of a difference between the electric energy actually supplied to the electric vehicle during the charging time period up to the considered instant (or a chosen past instant), and the electrical energy corresponding to the electric power supplied in the recharging time range up to the considered (or chosen) instant as defined by the recharging profile Pr before switching on. day.
In other words, this condition relates to the comparison between the cumulative electrical energy actually supplied to the vehicle by the recharging device during the range PTr (that is to say a temporal accumulation of Pout until the instant considered) and the cumulative energy that the vehicle would have received during the PTr range if the recharging profile had been applied for the entire elapsed portion of the PTr range (a cumulative time of PI until the instant considered).
If this difference, which is for example in the form of a difference, is greater than a predetermined threshold, the optimization module is ordered for updating the recharging profile.
This update is then carried out on the basis of only local information, that is to say that it does not result from a new phase of coordinated optimization (which can however be triggered soon after or even shortly long before).
Advantageously, these conditions are tested at each new interval, at least until they have been verified.
Advantageously, once these conditions have been verified and the update has been carried out, the analysis of the update conditions is interrupted for a predetermined period of time, corresponding for example to a predetermined number of intervals.
It is noted that a condition which can be used relates to a change in the tariff indexes used for determining the price of electrical energy by the optimization module.
For example, if a quantity quantifying a difference between the old indexes and the new indexes is greater than a chosen threshold value, the optimization module is recalled for updating the recharging profile.
This condition can be used alone, or in combination with at least one other.
As illustrated in Figure 2A, the trigger conditions are for example detected as verified at time t4. The update is carried out and results in the replacement of the values of PI planned for the future intervals by new values, which are taken into account in place of the initial values for these intervals from this moment (t5) ( the end time of the recharging time range associated with the updated profile having been represented as being consistent with that of the initial recharging profile).
The conditions for modifying the operation of the recharging device, in particular the regulation module, remain analyzed until the vehicle is recharged.
The invention has several advantages.
Indeed, it allows the taking into account of phenomena affecting the electrical networks in a very fine and flexible way in a context of recharging of electric vehicles. In addition, this applies to a network or a portion of this easily adaptable scale network.
In addition, the different modes of operation of the system allow a very great wealth of modulation of the phenomena taken into consideration in a preponderant way to govern the recharging of vehicles at a given instant.
In addition, it is scalable, in that it adjusts its functioning by learning from the data collected by it.
Note that the deviations mentioned in the description above are for example deviations in absolute value. In addition, these deviations can be evaluated using quantities which represent these deviations. In other words, a deviation can correspond to an object differing from a difference.
Note that the forecasts made for the needs of the optimization module and / or the regulation module can in practice be constructed by a dedicated forecast module. This module communicates the appropriate forecasts to the corresponding module, for example on request.
It is further noted that the profile Pr can be constructed, in particular according to the first case, by using a population of candidate solutions for each of which values of sub-metrics are determined, thereby providing a value of the metric. A selection is then made from among the candidate solutions on the basis of the respective values of the metrics of these solutions. For example, each candidate solution corresponds to a given consumption forecast, and / or to given values of the weighting factors.
Furthermore, in the case of a distributed configuration of the COOR coordination device, in particular for the coordination modules forming part of the RECH recharging device to which they are coupled, each corresponding coordination module is advantageously segregated from the rest of the recharging device , especially in terms of access to the data that is contained in the coordination module. In particular, the coordination module is then configured not to authorize access to the data it stores, in particular to the user of the RECH recharging device.
It is noted that these configurations can be used jointly, the coordination device comprising an isolated component and away from the RECH recharging devices, and coordination modules respectively coupled to the RECH recharging devices of a strict subset of the RECH recharge of the SYS system.
It is further noted that within the framework of the description above, it is intended that each RECH recharging device has the above functionalities. However, this may not be the case.
For example, some RECH devices (or even all of them in certain embodiments) may have only the collective sub-mode. In addition, they can be configured to only implement recharge profiles from a coordinated optimization phase. In addition, the various RECH recharging devices may have different configuration methods. For example, the conditions used for switching between operating modes of the regulation module may differ, typically by the population of conditions used, the threshold values used, etc.

权利要求:
Claims (16)
[1" id="c-fr-0001]
1. System suitable for recharging electric vehicles, the system comprising:
a plurality of recharging devices (RECH) respectively adapted to supply regulated electric power (Pout) for recharging electric energy of at least one electric vehicle (VE), the recharging devices being intended to be connected to a electrical energy supply network (R), each recharging device (RECH) being intended to be connected to said network (R) via a delivery point (PDL) from which the recharging device is configured to draw off electrical energy to supply said regulated electrical power, each recharging device (RECH) comprising:
- an optimization module (OPT) configured to build a charging profile (Pr) associated with a charging time range (PTr) and representative of a first electric charging power (PI) adapted to be delivered by the recharging during said recharging time range for recharging the electric vehicle, and
a regulation module (REG) adapted to regulate the electric power supplied by the recharging device, the regulation module comprising:
- a first operating mode in which the regulation module (REG) is configured to regulate the electric power (Pout) delivered at the output to match said electric power (Pout) to the first electric recharging power (PI) for at least part of the associated recharging time range (PTr), and
a second operating mode in which it is configured to regulate the electrical power delivered at the output (Pout) so as to make it correspond to a second electrical recharging power (P2),
- a coordination device (COOR) adapted to communicate with charging devices (RECH), the coordination device (COOR) being adapted to:
- trigger a coordinated optimization phase involving a group of recharging devices (RECH) comprising all or part of the recharging devices of said system and during which each recharging device (RECH) involved builds a recharging profile (Pr) intended to be implemented in the first operating mode at least from a portion of individual recharging data generated by the optimization module (OPT) corresponding at least from forecasts of electrical consumption of other equipment electrical (EQi) connected to the corresponding delivery point for the time charging range (PTr), and secondly a coordination signal (SIGNi) generated by the coordination device (COOR) from the individual charging data generated by all or part of the charging devices (RECH) involved, and
- trigger at a given moment a coordinated regulation phase involving all or part of the recharging devices (RECH) of the system (SYS), during which the regulation module (REG) of each of said recharging devices involved in the coordinated regulation implements the second operating mode, the corresponding second electric recharging power (P2) being determined at least on the basis of a data item of the electrical energy supply network determined by the coordination device from of measurements representative of a state of the network carried out during at least one time interval preceding said instant considered.
[2" id="c-fr-0002]
2. The system as claimed in claim 1, in which during the coordinated regulation phase, the recharging devices (RECH) involved are configured to implement a collective operating sub-mode of the second operating mode, the second mode of operation of the regulation module of each recharging device (RECH) further having an individual operating sub-mode in which the second electric recharging power is determined independently of said state data of the electric power supply network (R ) determined by the coordination device (COOR) from measurements representative of a state of the network carried out during a time interval preceding said instant considered.
[3" id="c-fr-0003]
3. The system as claimed in claim 2, in which, in the individual operating sub-mode, the regulation module (REG) is configured to determine the second recharging electric power (P2) at least as a function of electricity consumption data ( DM) of other electrical equipment connected to the corresponding delivery point measured during said time range (PTr) and the first charging power (Pl) of the charging profile (PTr).
[4" id="c-fr-0004]
4. System according to any one of the preceding claims, in which, for recharging devices (RECH) involved in a coordinated optimization phase and having a recharging profile (RECH), the recharging time range (PTr) of which includes the instant of the start of the coordinated optimization phase, the recharge profile determined during the coordinated optimization phase replaces said recharge profile once determined.
[5" id="c-fr-0005]
5. System according to any one of the preceding claims, in which the optimization module (OPT) of a recharging device (RECH) is configured to determine the individual recharging data in addition at least from an element. among:
- a behavior in recharging of an electric energy storage device (STO) of the electric vehicle that the recharging device is intended to recharge,
an electrical energy requirement of the electric energy storage device (STO) of the electric vehicle for recharging said electric energy storage device (VE),
- a tariff for electrical energy representative of the cost of electrical energy to be supplied to the electrical energy storage device (STO) for recharging,
- electrotechnical behavior of an associated electrical protection device (PROT) at the delivery point (PDL),
- a maximum electrical power that the recharging device (RECH) is sized to deliver.
[6" id="c-fr-0006]
6. System according to any one of the preceding claims, in which, for the coordinated optimization phase, each regulation module (RECH) is configured to generate the recharging profile (Pr) after an iterative process each intermediate step of which includes the generation of temporary individual recharging data, the sending of said temporary individual recharging data to the coordination device (COOR), and the reception of a temporary coordination signal generated by the coordination device (COOR) from the temporary individual recharging data of the various recharging devices (RECH) involved, the temporary individual recharging data being constructed as individual recharging data from the previous step updated from the coordination signal received during the previous step, the recharge profile (Pr) being constructed from the individual recharge data constructed updated from the coordination signal received during the last stage or an intermediate stage, the initial stage being carried out from the individual recharge data and the coordination signal (SIGNi).
[7" id="c-fr-0007]
7. System according to any one of the preceding claims, in which the coordination device (COOR) is configured to generate the coordination signal at least from an estimate of the impact on the power supply network of the data. charging stations for charging devices involved in the coordinated optimization phase.
[8" id="c-fr-0008]
8. System according to any one of the preceding claims, in which the coordination device (COOR) is configured to generate the coordination signal at least from the sum of the individual recharging data.
[9" id="c-fr-0009]
9. System according to any one of the preceding claims, in which each individual recharging data item is representative of a recharging profile defining values of the first electric recharging power over a recharging time range (PTr).
[10" id="c-fr-0010]
10. System according to any one of the preceding claims, in which the coordination device is configured to trigger the coordinated regulation phase in response to the verification of at least one condition of which at least one condition relates to a comparison between a capacity. a region of the electrical power network covering all or part of said power network and an electrical consumption generated by the recharging devices (RECH) and the other electrical equipment (EQi) connected to said region.
[11" id="c-fr-0011]
11. The system as claimed in claim 10, in which the recharging devices (RECH) intended to be involved in said phase of coordinated regulation are those connected to said region.
[12" id="c-fr-0012]
12. System according to any one of the preceding claims, in which the coordination device is in the form of a device remote from the recharging devices.
[13" id="c-fr-0013]
13. System according to any one of claims 1 to 11, in which the coordination device comprises a plurality of coordination modules respectively coupled to one of the recharging devices of the system, each coordination module being configured to communicate with the other charging devices (RECH) in the system and to provide the coordination signal to the charging device with which it is associated.
[14" id="c-fr-0014]
14. Method for recharging a plurality of electric vehicles by means of a system comprising:
a plurality of recharging devices (RECH) respectively adapted to supply regulated electric power (Pout) for recharging electric energy of at least one electric vehicle (VE), the recharging devices being intended to be connected to a electrical energy supply network (R), each recharging device (RECH) being intended to be connected to said network (R) via a delivery point (PDL) from which the recharging device is configured to draw off electrical energy to supply said regulated electrical power, each recharging device (RECH) comprising:
- an optimization module (OPT) configured to build a recharging profile (Pr) associated with a recharging time range (PTr) and representative of a first electric recharging power (Pl) adapted to be delivered by the recharging during said recharging time range for recharging the electric vehicle, and
- a regulation module (REG) adapted to regulate the electric power supplied by the recharging device, the regulation module comprising:
- A first operating mode in which the regulation module (REG) is configured to regulate the electric power (Pout) delivered at the output to match said electric power (Pout) to the first electric recharging power (Pl) for at least part of the associated recharging time range (PTr), and
a second operating mode in which it is configured to regulate the electrical power delivered at the output (Pout) so as to make it correspond to a second electrical recharging power (P2),
- a coordination device (COOR) adapted to communicate with recharging devices (RECH), the method comprising:
- carry out a coordinated optimization phase involving a group of recharging devices (RECH) comprising all or part of the recharging devices of said system and during which each recharging device (RECH) involved builds a recharging profile (Pr) intended to be implemented in the first operating mode at least from a portion of individual recharging data generated by the optimization module (OPT) corresponding at least from forecasts of other electrical consumption electrical equipment (EQi) connected to the point
10 corresponding delivery for the time recharge range (PTr), and secondly a coordination signal (SIGNi) generated by the coordination device (COOR) from the individual recharge data generated by all or part of the recharging devices (RECH) involved, and
- at a given time, carry out a coordinated regulation phase involving all or part of the system recharging devices (RECH) (SYS), during which the regulation module
[15" id="c-fr-0015]
15 (REG) of each of said recharging devices involved in the coordinated regulation phase implements the second operating mode, the corresponding second electric recharging power (P2) being determined at least from state data of the electrical power supply network determined by the coordination device from measurements representative of a state of the network carried out during at least one time interval preceding said instant considered.
[16" id="c-fr-0016]
15. Computer program comprising instructions for implementing the method according to claim 14 when executed by a processor.
1/4
2/4
EQ1 or
RECH
3/4
Cost
CO
Pmax
I (n-1) I (n + 1)
4/4
INI
T
OPTC
T
MOD1
T
REGC
S1
S2
S3
S4

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同族专利:

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公开号 | 公开日

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US20200086756A1|2020-03-19|

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WO2018114127A1|2018-06-28|

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法律状态:
2018-01-02| PLFP| Fee payment|Year of fee payment: 2 |

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2018-06-22| PLSC| Publication of the preliminary search report|Effective date: 20180622 |

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2018-12-31| PLFP| Fee payment|Year of fee payment: 3 |

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2019-12-13| PLFP| Fee payment|Year of fee payment: 4 |

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2020-12-21| PLFP| Fee payment|Year of fee payment: 5 |

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2021-11-30| PLFP| Fee payment|Year of fee payment: 6 |

优先权:

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申请号 | 申请日 | 专利标题

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FR1662726|2016-12-19|

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FR1662726A|FR3060887B1|2016-12-19|2016-12-19|SYSTEM ADAPTED FOR RECHARGING ELECTRIC VEHICLES|FR1662726A| FR3060887B1|2016-12-19|2016-12-19|SYSTEM ADAPTED FOR RECHARGING ELECTRIC VEHICLES|

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CN201780085397.0A| CN110248839A|2016-12-19|2017-11-09|System suitable for electric car charging|

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EP17794748.8A| EP3554886A1|2016-12-19|2017-11-09|System for charging electric vehicles|