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    • 专利摘要:
    Wind turbine generator (WTG) yaw correction system (2) comprising a wind turbine sensor input configured to input sensory input from a WTG (6), a regulator t configured to output regulatory output to a WTG controller (10) which is configured to input and to regulate as a function of atmospheric conditions obtained by sensing of atmospheric conditions, where the WTG yaw correction system (2) is configured - to receive input about atmospheric conditions and nacelle direction, - to store input about atmospheric conditions and nacelle direction, - to process input about atmospheric conditions, and nacelle direction to provide a corrected regulatory output as a function of received and stored input and of yaw misalignment determined temporarily or measured temporarily, and - to output a corrected regulatory output (x) to the WTG controller (10). Hereby is obtained a direction and wind speed data correction system (signal correction box), which together with a nacelle based compass (11) and potentially also for those sites where there are large daily or seasonal variations in temperature and pressure together with air pressure and temperature measurement instrument(s) (9) can be used as a permanently installed tool, or integrated directly into the WTG controller, on existing and future wind turbines with the purpose to optimize the energy production and minimize loads. This WTG yaw correction system may eliminate the need of permanent use of a complex and expensive systems for detection of atmospheric conditions
    公开号:DK201470455A1
    申请号:DKP201470455
    申请日:2014-07-17
    公开日:2016-02-01
    发明作者:Poul Anker Lübker；Cai Tao
    申请人:Tsp Wind Technologies Shanghai Co Ltd；
    IPC主号:
    专利说明:

    Wind turbine generator correction system and Method for operating WTG correction system
    Field of the Invention
    The present invention relates to a wind turbine generator (WTG) correction system and of the type as indicated in claim 1
    The invention also relates to a method for operating WTG correction system or managing system.
    Furthermore, the invention relates to a WTG comprising said WTG correction system. Background of the Invention
    To-days standard instruments are located on the nacelle behind the rotor(hub/spinner and blades) and they are effected from different wind flows around the nacelle, turbulences behind the rotor, actual blade pitch adjustment and the actual site condition i.e. operation downstream of another operating wind turbine, downstream of a building or another obstacle, downstream of a patch of trees depending on from witch wind sector the wind is coming etc. and they are therefore not able to measure wind direction and wind speed correctly.
    Additional to these facts the basic setting of the wind direction measurement equipment and the wind speed measuring equipment is made during the manufacturing process and typically every second year these instruments are exchanged during service using different positioning and alignment methods, well knowing that these methods are not accurate - due to different accepted tolerances during the manufacturing and servicing process.
    If the wind direction measurement is not correct, the wind turbine will have yaw misalignment, resulting in excessive loads on the entire turbine. Furthermore the energy production will be influenced in a negative way.
    If the wind speed measurementjs not correct, then the cut in / cut out / re-cut in wind speed will not be correct, resulting in additional loads on the entire turbine and / or reduced energy production from the wind turbine.
    It is therefore highly desirable to be able to verify and potentially adjust the actual individual wind direction and wind speed measurement in each defined wind sector after installation and change of these instruments to obtain the best possible power output and lowest loads to be within the specifications.
    Correct measurement of wind direction, wind speed, turbulences and air inflow angle are essential for any wind turbine’s energy production and loads.
    Turbulent fluctuations of wind speed and wind inflow angle impacts on the fatigue life of key components of a wind turbine. The level of turbulence and the wind inflow angles can be increased or changed under certain conditions, i.e. actual pitch adjustment, operation downstream of another operating wind turbine, downstream of a building or another obstacle, downstream of a patch of trees, downstream of upwind terrain effects as slopes and ridgelines etc.
    To-day the impact of this increased turbulence and wind inflow angles will normally be mitigated by having a wind sector management plan which is based on wind measurements on the wind farm sites and “imperfect” computer models and assumptions attempting to predict adverse turbulence loads on the individual wind turbines. Based on these models production output is reduced or wind turbines are shut down at certain wind directions, when the computer calculations conclude such expected conditions where the wind turbulence and wind inflow angle may negatively affect the wind turbine lifetime typical for certain pre-specified combinations of wind direction and wind speed. This measure is called "Wind sector management".
    Reducing energy output or shutting down wind turbines obviously lead to a decrease in energy produced by the wind turbine, and there is therefore highly desirable and a need for better technologies for predicting and actually measuring turbulence and/or wind inflow angle conditions hitting the individual wind turbines in each wind sector defining a more optimal wind sector management plan only shutting down wind turbines when turbulence levels and/or wind inflow angle are actually above permissible limits
    Since correct measurement of wind direction, wind speed are essential for any wind turbine’s energy production and loads, monitoring the correlation in between the cor responding wind speed and wind direction data signals - when there is two sets of existing sensors could be an important indicator if these instruments are functioning correctly.
    Since the existing wind direction and wind speed sensors are located in a very harsh environment, to-day these sensor instruments are typically changed according to a fixed service schedule and therefore it is normally not considered if the actual operational condition of these sensors are expected to be in order or not be in order for the following service interval. In other words by monitoring the operation and drift over time in the correlation in between the corresponding data signals from the two sets of sensors - one will be able to decide when these instruments actually need to be changed.
    Object of the Invention
    The purpose of the present invention is to enable higher production and lower loads by better positioning of the WTG in the wind and optimizing wind sector management by providing an improved and refined control signal to the WTG controller or by improving and refining signal directly in the controller.
    Description of the Invention
    According to the present invention there is provided a wind turbine generator (WTG) correction system comprising a wind turbine sensor input configured to input sensory input from a WTG, a regulator output configured to output regulatory output to a WTG controller which is configured to input and to regulate as a function of atmospheric conditions obtained by sensing atmospheric conditions, where the WTG correction system is configured - to receive input about atmospheric conditions and nacelle direction, - to store input about atmospheric conditions and nacelle direction, - to process input about atmospheric conditions, and nacelle direction to provide a corrected regulatory output as a function of received and stored input, and - to output a corrected regulatory output to the WTG controller.
    Hereby is achieved a direction and wind speed data correction system (signal correction box), which can be used as a permanently installed tool, or the record correction table / multi-dimensional correction algorithms can be integrated directly into the WTG controller, on existing and future wind turbines with the purpose to optimize the energy production and minimize loads. This WTG correction system may eliminate the need of permanent use of a complex and expensive systems for detection of atmospheric conditions.
    In other words there is established a new combined technology which represents a step change in measuring the wind in front of the wind turbine and using this information to calibrate a signal correction box to improve the quality of the existing sensor signal to the existing controller or the correction is done directly in the existing controller.
    In other words it hereby becomes possible to make use of recorded table values or multi-dimensional algorithms with correction factors which will be calculated and stored using calibration measurements from a temporarily installed LiDAR mounted on the nacelle, a spinner anemometer mounted on the spinner or any other device which can be used to determine or measuring the actual yaw misalignment, actual wind speed and/or the actual turbulence and/or the actual wind inflow angle in each defined wind sectors and wind bins on or in front of a wind turbine rotor.
    Furthermore, the WTG correction system according to the invention may advantageously be such provided, that it comprises a connection to a permanently installed nacelle direction measurement instrument (compass or the like) for precisely measuring the nacelle direction and comparison with the measurements related to each of the actual wind sectors and wind bins.
    The WTG correction system according to the invention may furthermore be such provided that it comprises for those sites where there are large daily or seasonal variations in temperature and pressure a connection to air pressure and temperature measurement instalments in combination with the nacelle direction measurement instruments (compass or the like) and comparison with the measurements related to each of the actual wind sectors and wind bins.
    All measurements will be related to the actual wind bins and wind sectors defined by a permanently installed nacelle direction measurement instrument (compass or other device) measuring precisely the nacelle direction.
    Appropriately, the WTG correction system according to the invention is such provided, that it comprises at least one memory unit for storing said input about atmospheric conditions and nacelle direction, and at least one processor for processing said input about atmospheric conditions and nacelle direction.
    In order to further optimize the function of the WTG correction system according to the invention said system comprises storage means for the storing of collected measure values relating primarily to atmospheric conditions for each wind sector and/or each wind bins to be used as reference table and/or multi-dimensional calibration algorithm for the establishment of a corrected regulatory output to the WTG controller.
    All measurements can be related to temperature and air pressure defined by an optional permanently installed nacelle based temperature and air pressure measurement instrument on sites where there are large daily or seasonal variations in temperature and air pressure.
    Correction factors can then be implemented in this data correction box application (or alternatively these correction factors can be implemented directly in the WTG controller) for correcting in each defined wind sector and wind bin the actual measured data form existing wind direction and wind speed measurement instruments on a WTG before these data are used by the WTG controller.
    The present invention also relates to a method for operating a WTG with a WTG controller by providing a corrected regulatory input about atmospheric conditions and nacelle direction to the WTG controller.
    Appropriately, the method according to the invention comprising further method steps of - receiving input about atmospheric conditions using sensing means during operation, - processing the input about atmospheric conditions and nacelle direction to provide a corrected regulatory output as a function of received input and stored input about atmospheric conditions, and - outputting a corrected regulatory output to the WTG controller.
    And the method according to the invention may advantageously comprise a further step of - storing input about atmospheric conditions obtained by using more precise sensing means about atmospheric conditions, than the sensing means used during operation.
    By the method according to the invention it may be advantageously that the step of processing said input about atmospheric conditions takes into account said stored input about atmospheric conditions obtained by more precise sensing means.
    Furthermore, the present invention relates to a WTG comprising a WTG controller being operationally connected to a permanently installed nacelle based compass, or any other device which can measure correctly nacelle direction (wind sectors), existing wind speed and wind direction measurement instrument (ultra-sonic sensor), and a wind vane, or similar sensor for measuring wind speed and wind direction situated behind the rotor which WTG further comprising a WTG correction system according to any of the claims.
    Description of the Drawing
    The invention is described in more detail in the following reference being made to the accompanying drawings and examples, in which:-
    Fig.l shows a plane view of a preferred embodiment for the measuring arrangement for the collection and storage in a signal correction box of measurements from the stationary measurement equipment of a WTG as well as measurements collected by means of a temporarily installed LiDAR and RPM sensor,
    Fig. 2 shows a plane view illustrating the temporarily collection of correction measurements representing measurements from the complete 360° wind sectors surrounding the WTG,
    Fig. 3 shows a plane view illustrating the afterwards situation where a WTG correction system (signal correction box) is interconnected between the permanently installed measure instruments and the WTG controller,
    Fig. 4A shows a graphic presentation illustrating the yaw misalignment measurements related to wind speed before the installation of a WTG collection system according to the present invention,
    Fig. 4B shows a graphic presentation illustrating the yaw misalignment measurements related to wind speed after the installation of a WTG correction system according to the present invention,
    Fig. 5 shows a plane view illustrating the yaw misalignment angle a between the wind direction and the real nacelle direction,
    Fig. 6 shows a system overview of a typical application environment for the signal correction box showing major components,
    Fig.7 shows a top-level typical hardware implementation view of the signal correction box,
    Fig. 8 shows a simplified diagram of the signal flow through the signal correction box during normal operation and in fail safe state,
    Fig. 9 shows an example of the function for the probability in relation to the wind speed (data measured in lm/s wind speed bins),
    Fig. 10A shows a plane view illustrating the actual sloped wind inflow measured by a LiDAR with circular scan pattern and the optimal wind inflow angle, and.
    Fig. 10B shows a plane view illustrating the actual sloped wind inflow measured by a 4 beam LiDAR with linear scan pattern and the optimal wind inflow angle.
    Detailed Description of the Invention and the method
    In Fig. 1 is shown an embodiment of a measurement arrangement for the collection and storage of measurements in a WTG correction system 2 (signal correction box), which is permanently installed in the nacelle 4 of a WTG 6, where the signal correction box 2 receive measurement from the existing measurement instruments 8 of the WTG 6.
    On top of the nacelle 4 a more precise LiDAR 12 is temporarily installed for the collection of more precise measurements of the wind conditions, in this case at a distance of some 70-80 meters in front of the rotor 17, but any other relevant measuring distance on or in front of the rotor 17 could be used.
    On top of the nacelle 4 a permanently installed nacelle based compass 11 measure the actual nacelle direction (wind sectors)
    On top of the nacelle 4 an optional permanently installed nacelle based temperature and pressure measurement instrument 9 is measuring temperature and pressure conditions which are relevant on sites where there are large daily or seasonal variations in temperature and air pressure.
    In the nacelle 4 a temporary installed RPM sensor 13 is measuring the RPM of the rotor 17 which are relevant when filtering the collected data.
    Fig. 2 serves to illustrate the collection and storage of more precise measurement of wind conditions - wind speed, wind direction, and potentially also turbulences and wind inflow angle in this case said using a nacelle based LiDAR 12 in a distance of some 70-80 meters in front of the rotor 17 - as indicated with an arrow 16 in a 360° radius - these precise measurements are carried out in all wind sectors surrounding the WTG 6.
    This collection of wind condition values from all the surrounding wind sectors may be completed through more days or weeks before the necessary measurements from all the surrounding wind sectors and/or wind speed bins are collected and stored in the signal correction box 2.
    Special geographic or local conditions can make it impossible to collect measurements from all wind bins and wind sectors surrounding the WTG 6 - however in case of missing wind bins and/or wind sector measurements from specific wind sectors such measurements may be substituted by experience or extrapolated wind condition values.
    By the collection of LiD AR generated measurements one may be aware of the general mode of operation of a LiDAR using laser beams to measure reflexions from air particles in the atmospheric air in front of the rotor 17.
    This means that under certain conditions e.g. heavy fog or rain the LiDAR will not be able to measure any reflexions from air particles in front of the rotor 17. However, under such conditions and when any other faulty measurement data is received from the LiDAR, those periods will be excluded in the calculation of the record correction table / multi-dimensional correction algorithms.
    Fig. 3 illustrates the afterwards situation where a WTG correction system (signal correction box) 2 is installed in the nacelle 4 of the WTG 6. The signal correction box 2 is interconnected between the permanently (existing) installed main measurement in struments 8 and the WTG controller 10 in such a manner that less precise input mea-urements received from the existing or permanently installed instruments continuously will be corrected by making use of stored table values or algorithms in the signal correction box 2 - before the output is send to the WTG controller 10 this considering the actual wind bin, wind sector measured by the permanently installed Compass 11 and potentially also temperature and pressure measurement measured by the optional permanently installed nacelle based temperature and air pressure measurement instrument 9 on sites where there are large daily or seasonal variations in temperature and pressure. The existing secondary measurement instrument 8 will still be connected directly to the WTG controller 10, this assuring that the safety system of the WTG is intact.
    Fig. 4A illustrates the collected measurements shown as a large number of dots each representing measurements regarding wind speed measured in meters/second (y axes) and yaw misalignment angle in degrees (x axes), the vertical dotted line 18 representing the neutral angle misalignment axes - where the average yaw misalignment value shown by the line 20 is about 7°.
    Otherwise in Fig. 4B showing the corrected measurements after the preparation in the signal correction box 2 - where most of the collected measurement after correction are placed close to the vertical line representing the average yaw misalignment angle of about 0°.
    Fig. 5 serves to illustrate the misalignment angle a between the wind direction marked by an arrow 22 and the real nacelle direction marked by a dotted line 24.
    Fig. 6 shows an embodiment of a system overview of a typical application environment for the signal correction box showing major components thereof where the nacelle 4 and hub/spinner 15 are shown in the left hand side of the figure, while the signal correction box 2 is shown to the right hand side of the figure.
    On the nacelle 4 a LiDAR 12 and existing meteorological sensors/instruments 8 is situated. The WTG controller 10 is receiving corrected signals from the signal correction box 2, which also receive signals from the meteorological sensors, the LiDAR 12 and a precision compass 11.
    Furthermore, the signal correction box 2 can be connected to optional sensors as indicated with a dotted interaction arrow 26. The WTG controller 10 furthermore may be interconnected with a user SCADA — as indicated by a double interaction arrow 28.
    Fig. 7 shows an embodiment of a typical hard ware implementation of the signal correction box 2, where the interfaces relating to rpm sensor 13, precision compass 11, LiDAR 12 and optional nacelle based air pressure and temperature measurement instrument 9 are shown in the left hand side of the figure, while in the right hand side of the figure is shown a power supply 30, terminal interface 32 and WAN interface 34.
    Fig. 8 shows an embodiment of a simplified diagram of the signal flow through the signal correction box 2.
    Before a valid calibration reference table and/or multi-dimensional calibration algorithm is uploaded to the signal correction box 2 (SCB), it is anticipated that the initial state of the SCB 2 should result in a “no compensation performed” result; that is that the data output = data input.
    Following the upload of a valid calibration reference table and/or multi-dimensional calibration algorithm to the SCB 2 this function will provide scaling and offset of main wind instrument sensor 8 input data prior to presentation to the main wind instrument sensor 8 output.
    To ensure failsafe operation in the event of loss of correct SCB 2 functionality a “hard bypass” should directly forward the meteorological main sensor 8 input to be the meteorological main sensor 8 output (data output = data input). This will be implemented by an electromechanical relay with associated time-out circuitry (shown above in 'fail safe state' elongate arrow 36). During normal operation the signal follows the signal flow arrows 38.
    Fig. 9 shows a histogram and Weibull function for the probability in relation to the winds speed (data measured in 1 m/s wind speed bins).
    Wind speed bin is the expression for a wind speed interval, typically 0.5-1 m/s. Wind speed data are grouped In each of these wind speed intervals (wind speed bins) and based on this relevant statistic's and calculations can then be made for each wind speed bin. This type of statistics and calculations can for example be power performance measurements and Weibull wind speed distributions like in figure below, where variations in wind speed are expected.
    The reason why wind speed data are grouped in wind speed bins is that statistically variances are expected which is easier to analyze when data are grouped in those wind speed bins.
    Fig. 10A serves to illustrate an example where a sloped wind inflow illustrated by the arrows 41 is in this case measured by a LiDAR with circular scan pattern 39. This should be related to the optimal wind inflow angle 42 to the rotor 17
    Fig. 10B serves to illustrate an example where a sloped wind inflow illustrated by the arrows 41 is in this case measured by a 4 beam LiDAR with linear scan pattern 40. This should be related to the optimal wind inflow angle 42 to the rotor 17
    It should be emphasized that according to a common and well known issue the consequence from yaw misalignment is power loss following a cos2 function and increased loads. In Europe 80 out of 100 random chosen WTG operates with average yaw misalignment > 2° which were corrected. And 50 of these 100 WTG operated with average yaw misalignment > 6° and up to 30° leading to large yearly production losses and increased loads.
    The signal correction box 2, the compass 11 and potentially also the nacelle based temperature and pressure measurement instrument 9 is permanently installed on the WTG and calibrated in relevant time intervals which ideally will be synchronized with the change out of anemometers & wind vanes.
    When enough data is collected, as defined of the WTG owner for each wind bin and wind sector, then based on these collected data a multi-dimensional calibration algorithm will be calculated - in a service center or directly on the WTG - and transferred back to the permanently installed signal correction box or directly to the WTG controller providing in each defined wind sector and in each defined wind bin the actual yaw misalignment calibration factors and/or the actual turbulence and /or wind inflow angle calibration factors and/or the specific wind speed calibration factors.
    In the longer term a local/regional or global surveillance and logistic center will monitor and collect data from the WTG and will be able to transfer the signal correction algorithm to the signal correction box 2 installed in nacelle 4 or directly to the WTG controller 10 from a local/regional or global surveillance and logistic center during calibration and re-calibration. In between calibrations the local/regional or global sur veillance and logistic center will monitor the signal correction box 2 in agreed sequence and remotely update software in signal correction box 2 if needed.
    The signal correction box 2, the compass 11 and potentially also the nacelle based temperature and pressure measurement instrument 9 is permanently installed on the WTG and calibrated in relevant time intervals providing in each defined wind sector and in each defined wind bin the actual yaw misalignment calibration factors and/or the actual turbulence and/or wind inflow angle calibration factors and/or the specific wind speed calibration factors. This multi-dimensional calibration algorithm, together with the existing sensors signals together with the permanently installed nacelle direction instrument and potentially the permanently installed nacelle temperature and air pressure measurement instrument will be able to correct the “existing main sensor signals” and provide “new corrected main sensor signals” going to the WTG controller 10.
    Calibration of the multi-dimensional correction algorithm for the signal correction box 2 using a temporary installation nacelle based LiDAR, spinner anemometer or any other device which can be used to determine or measuring the actual yaw misalignment, actual wind speed and potentially also actual turbulence and/or wind inflow angle in each defined wind sector in front of a wind turbine rotor 17.
    Temporary installation of data collection and calculation unit collecting and time stamping nacelle direction rotor RPM, all existing wind sensor signals for wind speed and yaw misalignment such as LiDAR signals for wind speed, yaw misalignment, turbulences, wind inflow angle etc.. Based on all collected data a multi-dimensional correction algorithm will be calculated and transferred back to the signal correction box 2.
    Example 1:
    Calibration reference table and/or multi-dimensional calibration algorithm for the establishment of a corrected regulatory wind speed output to the WTG controller
    Dimensions considered:
    Wind speed measured bv different instruments Measured actual nacelle direction by nacelle based compass
    Input Time stamped :
    Wind spe ed measured by a iwnporarty atmospheric sensor such as a UDAft, a spinner anemometer or any otter instrument which can mwncewtod speed w pi In front of the rotor
    Wind spoetf measured by the existing wind speed measurement instrument number l Wind speed measured by the existing wind speed measurement Instrument number 7
    Measured nacelle direction by nacelle based compass or arty other Instrument which can measure the nacelle direction correctly Output-Call beat! on refer« nee table an rt/oif m ultHf i mensioral calibration algorithm: tor tin- existing wind speed measurement instrument number 1 and potentially also for existing wind speed measurement instrument number 2 (if existing)· there will be established a reference tabte and/or multi-dimenstona! calibration algorithm applicable for each wind sector and for each wind bin.
    Online jss of the Calibration reference table and/or multi-dimensional calibration algorithm:
    The regulatory out put to wind turbine controller front the existing wind speed measurement Instrument number 1 and potentially also from existing wind speed reasuren'ent instrument number 2 (if existing), will be calculated as a function of:
    The actual measured wind speed from the existing wind speed measurement instrument number 1 and potentially also from existing wind speed measurement instrument number 2 {if existing)
    The actual measured wind sector by the nacelle based compass T he caSbratlon reference table and/or mute-dimensional calibration algorithm
    Example 2: • Calibration reference table and/or multi-dimensional calibration algorithm for the establishment of a corrected regulatory wind direction output to the WIG controller
    Dimensions considered:
    Wind direction measured by different mslruments Wind soocd measured by offferent instruments 4ftasiredactual nacalle direction by nacelle based compass Input (Time stamped):
    Wind direction measured by a temporarily atmospheric sensor such as a LIDAR, a spinner anemometer ør any other instrument which can measure wind direction' on or in front of the rotor
    Wi*iu direction measured by the existing wind direction measurement instrument number 1 Wins direc: on measured by the enisling ovine direction measurement instrument number 2 Winn ssnec measurer; by the existing wind speed measurement instrument number 1 Wind spaed measured by the existingwind speed measurement instrument number 2
    Measured nacelle direction by nacelle based compass or any other Instrument which can measure the nacelle direction correctly Output- Calibration reference table and/or multi-dimensional calibration algorithm:
    For the existing, wind direction measurement instrument number 1 and potentially also for existing wind direction measurement instrument number 2 (if existing), there will be: established a reference table and/or multi-dimensional calibration algorithm applicable for each wind sector and for each winri bin Online use of the Calibration reference table and/or multi-dimensional calibration algorithm:
    The regu ato'y iiittjitu to wind turbine controller from the existing wind direction measurement .instrument number 3 and potentially also fro in existing •.vind direction measurement instrument number 2 {if existing), will be calculated as a function of:
    Thu actual measured wind direction from the existing wind direction measurement instrument number t and potentially also From existing wind direction measurement instrument number 2 (if existing)
    The actual measured wind sector by the nacelle based compass
    The calibration reference table and/or mufti-dimensional calibration algorithm
    Example 3: Calibration reference table and/or multi-dimensional calibration algorithm for the establishment of a corrected regulatory wind speed/Turbulence and/or wind inflow angle warning output to the WTG controller.
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    Example 4:
    Warning flag when existing wind speed measurement instruments has to be exchanged,
    Dimensions considered:
    Wil d .speed measured by different existing instruments
    Measured actual nacelle direction by nacelle based compass input (Time stamped):
    Wlird speed measured by the existing wind speed measurement instrument number 1 WVd speed measured by the existing wind speed measurement instrument number 2
    Measured nocefte direction by nacelle based compass or any other instrument which can measure the nacelle direction correctly Output - Calibration reference tabic and/or mufti-dimensional calibration algorithm: tor 1 he enisling wind speed measurement instrument number 1 and also for existing wind speed measurement instrument number 2, there will be established a reference table and/or multi-dimensional calibration algorithm applicable for each wind sector.
    Use of the Calibration reference table and/or mufti-dhnensicmal calibration algorithm;
    There will be a warning flagged to wind turbine controller or to external related to the existing wind speed meesurement instrument number l end also from existing wind speed measurement instrument number 2, If wind speed measurements In individual wind sectors at 5* unacceptable level aip drifting from each other measured over time.
    Example 5:
    Warning flag when existing wind direction measurement instruments has to be exchanged.
    Dimensions considered:
    Wine! direction measured by different existing instruments
    Measured actual nacoilie direction by nacelle based compass (grouped into relevant wind sectors)
    Time stamped Input:
    Wind direction measured by the existing wind direction measurement instrument number 1 Wind direction measured by ihe existing wind direction measurement instrument number 2
    Measured nacelle direction by nacelle based compass or any other instrument which can measure the nacelle direction correctly Output - Calibration reference table and/or multi-dimensional calibration algorithm:
    For the* existing wind direction measurement instrument number 1 and also for existing wind direction measurement instrument number 2, there will be established a reference table and/or multi-dimensional calibration algorithm applicable for each wind sector. Use of the Calibration reference table and/or multi-dimensional calibration afcorfthm:
    There will be a warning flagged to wind turbine controller or to external related to the existing wind direction measurement instrument number 1 and also from existing wind direction measurement instrument number 2, if wind direction measurements in . individual wind sectors at a unacceptable level are drifting from each other measured over time.
    Correction of data using signal correction box I Correction of data directly in WTG controller
    Ste lVAere e t with client ' Spec'riiilVptfe^cfefinev/ithcHent-when there iienough dataineech specific windsector anti each specific wind bin.
    CP *AgreeiT1™n..: ....................'..I nhishasto^edonewhendon^inatingwinddirecttons/ larKft^aljrorjgc»sona|yaf|acion5ϊny£lnddirection) • ·; Temporary instaitetion of: i ;::>···'· “swftbriBrvinstallationot . ; • LfbARorSpihnef Anemcmeteretc * UDARor Spinner Anemometer etc.
    Step 2) Installation of . ·;'. - Datacollect ion.unit · Data collection unit temporary and permanently | ^ J* 'Communication unit· · Communication unit installed equipment on j Permanent installation of: · Rotor RPM measurement sensor individual wind turbine · Signal correction bo* ' . “7-- - * 2 x"SignaiSniffér”connectédto existing instruments • Nacelle direction indicator 1 Permanent installationof: • Rotor RPM measurement sensor * Naceiledirectiohindicator , > :Nacellebasedm«station{v.'hererelevant): • Nacellebasedmetstaticn(Wherereievant)
    Ste 3) Measurement First caiibraririhm>Mgirement campaign - iflarseseasonalor periodic variaionsonthespecificsitethen the measurement period on one or more ep j *as . . ; wTG's inthewindfarmcan belongertoregisterimpactfromthesevariations.
    campaign on in tvt ua Second and followiria measurement caiibfatiohcamoaigns-Since data variations duetoindwicKiai wind turbine location and variations m win turbine : temperatureandpressureareassumedtobeConstantthtmmeasuremeftperiodareshortérthanthefirstinitialmeasurementperiod.
    Step 4) Analyze and create j When enough data iscoliected/asdefined foreach wind sect ora nd w mdbin. then based on these collected data a mufti dimensional tabie/ optimal multidimensional ..: calibrationaigOrithrriwillbecalculated. ,,· data correction table / ] (Thiscaicuiacion v/illbfedone in the central Kno.'.'!edgecenterv^hen remoteconnection'tothev/indturbineisavaiiablecr alternatively this calculation algorithm w^ibedonedtre^onthéWfG)" 77;2·;;::7., .ΐ··ϊ:!ί·::::Η:ϊ:7·.!;Λ. l·:.: ..........
    Step 5) Implement multi ; xj-,isrnu(Tj dimensionaltabte/canbration algorithm will then be : . This multi diniensionaltable/calibration algorithm v/illthenbe ^me^a°gorithrTT>ratl0n : transferred back to the signalcorrect ion box. tra n sferred b ack to th e WTG c o ntro I ’er.
    ....... '7 :7 Temporary installed equipment is un-installed: . ,.. . 7. .. ; i Temporary installed equipment isun-nstalled: .: * LiDARorSpinnerAnemometeretc.
    step b) un-installation of , y OAR or Spinner Anemometer etc. ’ Oatacollecticnand calculat ion una temporary installed · Data collection and calculation untt * Communication unit equipment . ς0Γηιτιυηί(:3Ι(όη unn · ,· · ♦ Rotor RPM measurement •I 7; . .,7 · 2x“SignalSniffer" ;
    Step 7)Dats correction . i, ....
    r ' . Issuerepcrtto owner report . .
    Reference numbers in the drawing: 2 WTG correction system (signal correction box) 4 Nacelle 6 WTG (wind turbine generator) 8 Existing wind speed and wind direction measurement instruments 9 Nacelle based air pressure and temperature measurement instrument 10 WTG controller 11 Nacelle based compass or any other instrument that reliably can measure the true nacelle direction 12 LiDAR (Light Detection And Ranging), a spinner anemometer or any other instrument which can measure wind speed and yaw misalignment and potentially also turbulence in front of or on the rotor 17 13 RPM sensor 14 rotor blades 15 hub/spinner 16 arrow representing surrounding wind sectors 17 Rotor 17 (rotor blades 14 and hub/spinner 15 on which the rotor blades 14 is mounted).
    18 dotted line representing 0° yaw misalignment 20 average yaw misalignment value 22 wind direction arrow 24 nacelle direction (dotted line) 26 dotted interaction arrow 28 double interaction arrow 30 power supply 32 terminal interface 34 WAN interface 36 signal flow arrow (during “fail safe state”) elongate arrow 38 signal flows arrows (during normal operation) 39 LiDAR with circular scan pattern 40 4 beam LiDAR with Linear scan pattern 41 sloped wind inflow angle illustrated by the arrows 42 optimal wind inflow angle illustrated by the dotted line
    权利要求:
    Claims (12)
    [1] 1. Wind turbine generator (WTG) correction system (2) comprising a wind turbine sensor input configured to input sensory input from a WTG (6), a regulator output configured to output regulatory output to a WTG controller (10) which is configured to input and to regulate as a function of atmospheric conditions obtained by sensing atmospheric conditions, where the WTG correction system (2) is configured - to receive input about atmospheric conditions and nacelle direction, - to store input about atmospheric conditions and nacelle direction, - to process input about atmospheric conditions, and nacelle direction to provide a corrected regulatory output as a function of received and stored input, and - to output a corrected regulatory output (x) to the WTG controller (10).
    [2] 2. Wind turbine correction system (2) according to claim 1, characterised in comprising a connection to at least a temporarily atmospheric sensor such as a LiDAR (12), a spinner anemometer or any other instrument which can measure wind speed and yaw misaligmnent and potentially also turbulence and/or wind inflow angle on or in front of the rotor 17 for the collection of atmospheric sensory input.
    [3] 3. Wind turbine correction system (2) according to claim 1, characterised in comprising a connection to permanently installed nacelle direction measurement instrument(s) (8, 11) (compass or the like) for measuring the nacelle direction and comparison with the measurements (12, 9) related to each of the actual wind sectors.
    [4] 4. Wind turbine correction system (2) according to claim 1, characterised in comprising for those sites where there are large daily or seasonal variations in temperature and pressure a connection to air pressure and temperature measurement instrument(s) (9) in combination with the nacelle direction measurement instrument(s) (8, 11) (compass or the like) and comparison with the measurements related to each of the actual wind sectors and wind bins.
    [5] 5. Wind turbine correction system (2) according to claim 1, characterised in comprising at least one memory unit for storing said input about atmospheric conditions and nacelle direction (24), and at least one processor for processing said input about atmospheric conditions and nacelle direction (24).
    [6] 6. Wind turbine correction system (2) according to claim 1, characterised in comprising storage means for the storing of collected measure values primarily relating to atmospheric conditions for each wind sector and/or each wind bins to be used as reference table and/or multi-dimensional calibration algorithm for the establishment of a corrected regulatory output to the WTG controller (10).
    [7] 7. A method for operating a WTG with a WTG controller (10) by providing a corrected regulatory input about atmospheric conditions and the nacelle direction to the WTG controller (10).
    [8] 8. A method according to claim 7 comprising further method steps of - receiving input about atmospheric conditions using sensing means during operation, - processing the input about atmospheric conditions and nacelle direction to provide a corrected regulatory output as a function of received input and stored input about atmospheric conditions, and - outputting a corrected regulatory output to the WTG controller (10) or alternatively use receiving input directly into and processed in the WTG controller (10).
    [9] 9. A method according to claim 7 or 8 comprising a further step of - storing input about atmospheric conditions obtained by using more precise sensing means about atmospheric conditions, than the sensing means used during operation.
    [10] 10. A method according to claims 7-9 wherein the step of processing said input about atmospheric conditions takes into account said stored input about atmospheric conditions obtained by more precise sensing means (9,11,12).
    [11] 11. A method according to claim 7 comprising a further method steps of - receiving input in the controller (10) about atmospheric conditions using sensing means during operation, - processing the input in the controller (10) about atmospheric conditions and nacelle direction to provide a corrected regulatory output as a function of received input and stored input about atmospheric conditions, and - outputting a corrected regulatory output in the WTG controller (10).
    [12] 12. A WTG (6) comprising a WTG controller (10) being operationally connected to a permanently installed nacelle based compass measuring nacelle direction (wind sectors), a wind speed and wind direction measurement instrument (ultra-sonic sensor), and a wind vane, or similar sensor means situated behind the rotor characterised in further comprising a WTG correction system (2) according to any one of the preceding claims.
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    同族专利:
    公开号 | 公开日
    WO2016008500A1|2016-01-21|
    DK178403B1|2016-02-08|
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    法律状态:
    2018-02-26| PBP| Patent lapsed|Effective date: 20170731 |
    优先权:
    申请号 | 申请日 | 专利标题
    DKPA201470455A|DK178403B1|2014-07-17|2014-07-17|Wind turbine generator yaw correction system and Method for operating WTG yaw correction system|
    DK201470455|2014-07-17|DKPA201470455A| DK178403B1|2014-07-17|2014-07-17|Wind turbine generator yaw correction system and Method for operating WTG yaw correction system|
    PCT/DK2015/050222| WO2016008500A1|2014-07-17|2015-07-15|Wind turbine generator yaw correction system and method for operating wtg yaw correction system|
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