• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    The invention relates to a method for determining parameters for power supply networks with the following method steps: - at network connection points N1, N2, N3,... NN, a series of synchronized current and voltage measurements takes place; the measured data are combined into two measuring matrices U, I. wherein the first measurement matrix U includes the measured voltage values and the second measurement matrix I includes the measured current values. From the values of the measuring matrices U, I, a contribution matrix Z is determined which comprises the parameters of the energy supply network in accordance with known methods for the approximate solution of overdetermined equation systems, such as, for example, the Moore-Penrose pseudo-inverse I +. This makes it possible to determine the topology of energy supply networks as a basis for control and dimensioning tasks with little effort.
    公开号:AT511910A1
    申请号:T12162011
    申请日:2011-08-24
    公开日:2013-03-15
    发明作者:Friederich Dr Kupzog；Andreas Lugmaier
    申请人:Siemens Ag Oesterreich；
    IPC主号:
    专利说明:

    4, Aug.2011 12:36 05170754601 201114466
    CI CP # 0812 P.Q04 / 016. ** 1
    Description / Description
    Method for determining characteristic values for power supply networks and system for carrying out the 5th method
    The transition from traditional power grids with central power generation in high-performance power plants with high availability to distributed generation networks, 10 in particular based on so-called renewable energy such as photovoltaic, wind power or biogas plants, brings new challenges in the field of load control, voltage maintenance in the distribution network and to maintain network stability. 15
    Among other things, this is because, unlike medium to large power plants, decentralized generators also feed directly into the lower voltage levels, such as the low-voltage grid or the medium-voltage grid. 20
    Electric power grids are currently being designed for a so-called worst-case scenario, the maximum possible load. 25 This interpretation leads to high infrastructure costs, as electricity networks are typically only utilized at an annual average of around 30 to 40%.
    A reduction of the maximum load by avoiding 30 load peaks therefore leads to cost advantages and to an increase in the security of supply.
    The equal time distribution of the load and thus the avoidance of load peaks can be achieved by means of intelligent Net2e 35 through automatic control and monitoring of consumption systems. 24/08 201 1 MI 12: 5G [SE / EM NR 9889] @ 004 • · »· · 2 ·» · · 4.Aug.2011 12:36 05170754601 201114466 c: cp # 0812 P.005 / 016 * · »* 4 * · I · * * * * * * * * * * * * * * * * * *
    For this it is necessary, inter alia, the network topology, i. to know the individual network elements, such as generating plants and consumers and the connections in detail.
    However, a dog-like survey of these topologies is not expedient due to the high complexity of low-voltage networks.
    The invention is therefore based on the object of specifying a method with which the topology of low-voltage networks 10 can be detected automatically.
    According to the invention, this is done with a method according to claim 1. Advantageous embodiments of the invention will become apparent from the dependent claims.
    The invention will be explained in more detail with reference to embodiments illustrated in the figures,
    They show by way of example:
    1 is a schematic representation of a network of which only the network connection points, but not the connections 25 between them are known,
    Fig.2 a meshed network and
    Fig. 3 is a radial network with tree structure.
    FIG. 1 shows a power supply network of which the 30 complex current and complex voltage ratios Ui / Ii, Ua / I2, U3 / I3 urN / x * r at network connection points No, Ni, Nz, N3,... NH are known.
    The network behavior is determined by a complex contribution matrix 35
    Zi (t) = u (t) (l) 24/08 201 1 MI 12: 5G [SE / EM NR 98G9] @ 005 # 0812 P.0D6 / 016
    CIC_P
    : 5.Aug.2011 12:36 05170755601 201114466, where u (t) and ± (t) are column vectors of the voltages and currents at the network connection points No, Ni, N2, N3,. N «represent. The voltage at the K th network connection point NK can now be determined according to FIG. The amount of the matrix element, for example, is thus a measure of the influence of the Jth network connection point Nj on the voltage at the Kth network connection point NK. The contribution matrix z indicates, for every 10 network connection points No, Nj, N2, Na,... ··· N, which influence a current change at the network connection point has on the voltages at the respective other network connection points.
    Each power grid has at least one base grid point No, which powers the grid. Typical low-voltage networks are usually a transformer. When calculating the contribution matrix, this base network connection point No can be disregarded, and thus the calculation effort 20 can be reduced. For the determination of the values of the contribution matrix 2, a series of synchronized current and voltage measurements takes place at all network connection points Ni, N2, Na,... Nn with the exception of the 25 base Net2 connection point no.
    These measurements are carried out with so-called smart meters as remote-readable electricity meters, with which each network connection point Ni, N2, N3 ,, .. Nn must be provided. 30
    The measured data are combined into two measuring matrices U, I, wherein the first measuring matrix U contains the measured voltage values and the second measuring matrix 2 contains the measured current values. The two measurement matrices with the 35 dimensions N x M are shown in equations (3) and (4). 24/08 2011 MI 12:56 [SE / EM NR 9869] @ 006 4.Aug.2011 12:36 05170754601 2011X4466
    CIC P # 0812 P.007 / 016 (3) (4) (mk) ··· 9 · • «· 9 9 * JJ-nOo) UN ikf-l1 (Uh) - U'M- :)) 9 9 * 9 9 9 9 9 9 ^ nOö) LnUm-i);
    Thus, equation 1 can be reformulated into ZJ_ ^ U (5) 5
    By solving the matrix equation for Z by multiplication with, for example, the Moore Penrose pseudo-inverse I + as described in Penzose, Roger: "A generalized inverse for matrices". Proceedings of the Cambridge Philosophical Society 51, pp, 10 406-413, Cambridge, 1954, Z is according to
    Equation (6) gives z-ur (.6) The calculation according to equation (5) can be performed by solving the overdetermined number of linear equations of the second measurement matrix J according to equation (4), for example with a numerical approach with least -sguare Optimization of the result, 20 For standard low-voltage networks with a 3-phase structure, the contribution matrix Z can either be determined individually for each phase, but it is also conceivable that the three phases behave in the same way and thus the contribution matrix remains the same Way for the three phases to apply. It is in this case in particular 24/08 201 1 MI 12:56 [SE / EM NR 9889] @ 007 4.Aug.2011 12:36 05170754601 CIC_P # 0812 P.008 / 016 201114466 a * * * · ϊΐ · · It is also possible to use the measured values from different phases to form a measuring matrix....... * I combine.
    As already stated, the contribution matrix Z for 5 voltage control applications already provides sufficient information about the topology of a network.
    In addition, if certain conditions are fulfilled, the complete topology of a network can also be determined. These requirements are met in a radial network with a pure tree structure, but not in a meshed network.
    One topic is the determination of the network connection points at the ends of the tree structure, so-called "leaf nodes".
    These leaf nodes are characterized by the fact that the voltage drop across them at a current flow from the base grid connection point No via internal grid connection points 20 is greater than the voltage drops across the other
    Grid connection points. Such a leaf node can therefore according to Y '. ·: L7'; Avv.V'vVV; ·; ν- · ν ·. Λ.ν ·· Λ ·;
    t.here i.aye be determined. 25
    If the leaf nodes are known, the respective path to the base network port No can be analyzed. For this purpose, a virtual current flow between leaf node and base grid connection point No is considered and the voltage drops caused by this virtual current flow are analyzed at the grid connection points Ni, N2, Ns,... Nu. Network connection points located in the pathway indicate a CIC_ £ > > > > > > 9869J > 008     ># 0812 P.Ο Ο 9/016 6. ' • * * · «* · · η a • * * *
    Voltage drop up. Mains connection point outside the current path, however, not.
    On this basis, the individual branches of the network's 5 tree structure can be identified.
    For a more detailed explanation of the invention, two numerical embodiments will be explained with reference to FIGS. 2 and 3. 10 FIG. 2 shows a meshed network with basic
    Net2 connection point N0 and three network connection points Nj., N2, N3 The impedance of the lines between the network connection points is assumed to be 0.1 OHM in each case. The imaginary parts of the line resistances are considered to be 0. 15
    The measured current and voltage values summarized in the measuring matrices U, I are shown in Table 1.
    Value hhh / * h / * Λ [AI -8 * 8 -20 -5 -9 -3 / i [Al 5 2 9 0 l Ϊ Λ [A] 2 5 3 2 4 1 hlA] I 1 8 3 4 J 230,000 230,000 230,000 23,000,000 230,000 230,000 at 229,767 229,467 229,433 229,700 229,467 229,967 at 229J567 228,967 229,133 229. $ 00 229067 229,767 at 229,933 229,933 229,467 229,900 229,733 229,933 20 Table 1
    Based on the measured values and the following relationships 24/06 201 1 MI 12:56 [SE / EM NR 9869] @ 009 4.Aua.2011 12:37 05170754601 CIC P # 0812 P.010 / 0162011X4466 · * * * so and a u -. ^ ua-u. Δ U = 'MLM »*« > «4ΜΙΛ * o.) - (7) (8) (9)
    If the contribution matrix 2 is obtained.
    Z L0ÖCE-0IO 2.οοε-οι α 1.ΠΙΕ-08 Ω
    '3.Ι81Ε-Π Q 3.1BIE-11 n L-3.181E-HO
    3.333E-02 ΩΛ 3.331E-02O 6,667E-02 0J 5
    Since this is a meshed network, no further statements about the topology are possible. Fig. 3 shows an example of a tree-structured radial network.
    The associated measured values are shown in Table 2 v & iue hh / 4 ts h MA] -8 -8 -20 -S-9 -3 MA] 5 2 9 0 1 t hlA] 2 5 3 2 4 1 h [A] l 1 8 3 4 1 Uc IV] 230.0 230.0 230.0 230.0 230.0 230.0 UiM 229.3 2293 2283 229.8 229.5 229.8 lh [V) 229.2 229.2 228 229.5 229.1 229.7 u, m 229.9 229.9 2293 229.7 229.0 229.9 15
    Table 2
    The corresponding contribution matrix is: 24/08 201 1 MI 12:56 [SE / EM NR 9868] @ 010 4.Aug.
    12:37 05170754601 CIC_P 201114466 • * Θ · »· · • · # * 1 * · * * * * # *« »* * * * * * * * * 1 r 0.1 Ω Q.IG otn Z - 0.1 Q 0.2 Q OQ 0Ω OQ 0.1 oJ # 0612 P.011 / 016
    In this case, the underlying tree structure can also be determined. For this purpose, the "leaf 5 nodes", ie the end grid connection points, are determined in the first step. This is done by comparing the values lying in the diagonal of the contribution matrix with the values of the corresponding row. If the value lying diagonally represents a maximum, the corresponding network connection point is a leaf node. This is the case for the second and the third network connection point Nz, N3 Z221 in line 2 and | 233 | in each case represent a maximum in line 3. 15 Starting from the two known leaf nodes, the second and the third network connection point Nz, N3, the connections between them and the basic network connection point No are now determined. For this purpose, the 20 voltage relationships at the network connection points are determined by applying a virtual current vector to the contribution matrix. These are shown in Table 3.
    Level Voltige [V] Leafnode2 Leaf node 3 1 0 {0.3} R 1.2} 2 0.1 m m 3 02 {2} 25 Table 3
    It can be seen from the table (column 2) that, in the case of a current flow between leaf node 2 {network connection point Nz) and 30, the base network connection point Nc, in addition to the base node
    Netzanschlußpunkt No also the third network connection point N2 at voltage level 0 and thus outside the considered 24/08 2011 HI 12:58 [SE / EM NR 9869] @ 011 4.Aug.2011 12:31 05170754601 CIC_P # 0812 P.012 / 016 201114466 * · * · · S · · · «· · · - · · · · · · · · · · · · · · I * *» · · * * · | ·
    Current paths lies. The first network connection point Ni with voltage level 0.1, however, lies in the branch between the leaf node 2 (network connection point N2) and the base network connection point No. 2. 5
    In analogous manner, a current flow between the leaf node 2 (network connection point N2) and the base Netzanudlußpunkt No is simulated and the result in column 3 of Table 3 is shown. 10
    From the totality of the results, the structure of the network can be deduced. 15 24/08 201 1 MI 12:56 [SE / EM NR 9869] @ 012
    权利要求:
    Claims (6)
    [1]
    4.Aug.2011 12:37 05170754601 201114466 CIC P # 0812 P.013 / 016

    1. A method for determining parameters for power supply networks characterized by the following method steps: - At network connection points Ni / Ns, N3, ... Nu takes place a series of synchronized current and voltage measurements - the measured data are in two Measuring matrices ö, X summarized, wherein the first measurement matrix ü the measured voltage values and the second measurement matrix J includes the measured current values. From the values of the measuring matrices Ό, I, a contribution matrix Z is determined which comprises the parameters of the energy supply network in accordance with known methods for the approximate solution of overdetermined equation systems. 20
    [2]
    2. Method according to claim 1, characterized in that the contribution matrix Z is determined with the aid of the Moore-Penrose pseudo-inverse I +. 25
    [3]
    3. The method according to claim 1 or 2, characterized in that the contribution matrix Z is used for voltage control applications.
    [4]
    4. The method of claim 1 or 2, characterized in that for radial networks from the 30 contribution matrix z by maximum considerations so-called leaf nodes, ie Endnetzanschlußpunkte be determined.
    [5]
    5. The method according to claim 4, characterized in that for radial networks from the contribution matrix Z by comparisons of the voltage level of the network connection points, the structure of the network is determined. 24/08 2011 MI 12:58 [SE / EM NR 9889] @ 013 4.Aug.2011 12:37 05170754601 201114466 CIC P # 0812 P.014 / 016 * t * * * * I «'I *« · * · II »| I * * * I »·«
    [6]
    6. System for carrying out the method according to one of claims 1 to 5, characterized in that the network connection points are at least partially associated with smart meter as 5 remote readable electricity meter for measuring current and voltage values / means for controlling the remote readable electricity meter and means for evaluation the measured data, 2ur calculation of the contribution matrix Z and to determine the topology of the 10 power supply network are provided. 24/08 2011 MI 12:56 [SE / EM NR 9869] @ 014
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    法律状态:
    2018-04-15| MM01| Lapse because of not paying annual fees|Effective date: 20170824 |
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    ES12753409.7T| ES2553776T3|2011-08-24|2012-08-03|Procedure to establish parameters for power supply networks and system to carry out the procedure|
    PCT/EP2012/065207| WO2013026675A1|2011-08-24|2012-08-03|Method for ascertaining parameters for power supply systems, and system for carrying out the method|
    EP12753409.7A| EP2748907B1|2011-08-24|2012-08-03|Method for ascertaining parameters for power supply systems, and system for carrying out the method|
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