Correcting measured wind characteristics for wind turbines

Abstract

Correction of measured wind properties of a wind turbine. A method for correcting a measured value (101) of at least one wind property, in particular wind speed and / or wind direction, associated with a wind turbine (1) is described, the wind turbine (1) having a rotor (3), the rotor (3) having a plurality of rotor blades (5), at least one rotor blade (5) being equipped with an adaptive flow regulation device (7), the method comprising: measuring the value (101) of the wind property; obtaining status information (107) of the adaptive flow regulation device (7); and determining a corrected value (111) of the wind property based on the measured value (101) of the wind property and the status information (107) of the adaptive flow regulation device (7).

Description

Technical Field

[0001] The invention relates to a method and an arrangement for correcting a measured value of at least one wind property, in particular wind speed and / or wind direction, associated with a wind turbine having a rotor with a plurality of rotor blades, at least one rotor blade being equipped with an adaptive flow conditioning device. Background Art

[0002] Conventionally, wind direction and wind speed measurements can usually be performed by sensors located at the nacelle of the wind turbine. Wind direction and wind speed measurements can be used, for example, for control purposes, such as aligning the turbine to the wind (by yawing it appropriately) and monitoring yaw errors (to ensure that loads from yaw misalignment are limited) and stopping the turbine if the wind speed is too high.

[0003] Since wind speed and direction sensors may typically be located downstream of the rotor (behind it in the direction of the wind), the readings from these sensors may be affected by the flow over the rotor, and the control system tends to act on the free wind value, i.e., the value of the wind characteristic upstream of the plane spanned by the rotor blades. In addition, the flow may be affected by nacelle components, such as when the wind sensor is located near a cooling tower. The resulting influence on the sensor may then come from a combination of the influence of rotor convection and the influence of nacelle component convection.

[0004] Conventionally, correction methods may have been applied to correct for measurement errors. However, it has been observed that the corrected measurements do not correspond to the true wind characteristics in all conditions.

[0005] Therefore, there may be a need for a method and an arrangement for correcting measured values ​​of at least one wind property related to a wind turbine having a rotor with a plurality of rotor blades, at least one rotor blade being equipped with an adaptive flow conditioning device, wherein the accuracy of the corrected measured values ​​is improved compared to the prior art. Summary of the invention

[0006] This need can be met by the basic solution according to the present application. Advantageous embodiments of the present invention are described by the preferred solutions of the present application.

[0007] According to one embodiment of the present invention, a method for correcting a measured value of at least one wind characteristic related to a wind turbine, in particular wind speed and / or wind direction, is provided. The wind turbine has a rotor, the rotor has a plurality of rotor blades, and at least one rotor blade is equipped with an adaptive flow regulation device. The method comprises: measuring the value of the wind characteristic; obtaining status information of the adaptive flow regulation device; and determining a corrected value of the wind characteristic based on the measured value of the wind characteristic and the status information of the adaptive flow regulation device.

[0008] The method may be implemented in software and / or hardware, for example, and may be executed, for example, by a wind turbine controller or a wind park controller.The wind characteristic may be able to characterize the wind, in particular with respect to wind speed and / or wind direction.

[0009] At least one rotor blade (or all rotor blades of a wind turbine) is equipped with an adaptive flow conditioning device. The adaptive flow conditioning device is capable of adapting or modifying the airflow around or near the rotor blade according to its state, the state comprising at least two states, at least one open state and one closed state. Adapting the flow conditioning device may involve setting the conditioning device to an open state or setting the flow conditioning device to a closed state (or in an intermediate state).

[0010] The determined corrected value of the wind characteristic may relate to the value of the wind characteristic upstream of the area or plane covered by the rotor blades, i.e. a value that is not affected by the operation of the wind turbine. Thus, the corrected value of the wind characteristic may relate to the value of the wind characteristic to which the rotor and / or the rotor blades are subjected. For example, a wind speed sensor installed at the nacelle of a wind turbine may not accurately measure or determine the value of the wind characteristic upstream of the rotor blades, because the rotating rotor blades may affect the airflow such that the value of the wind characteristic downstream of the plane of the rotor blades may differ from the value of the wind characteristic upstream of the plane of the rotor blades.

[0011] The adaptive flow regulating device may be different from a conventional mechanism for adjusting the blade pitch angle of a blade. The adaptive flow regulating device may be a device other than a blade pitch mechanism, and the adaptive flow regulating device may affect the flow characteristics of the air around or near the surface of the rotor blade according to its state. The adaptive flow regulating device may be adaptive in the sense that the device may be in one of a plurality of different states, each state having a corresponding airflow characteristic or airflow influencing attribute. The flow regulating device may include one or more parts (e.g., installed along the longitudinal direction of the rotor blade). The flow regulating device may, for example, be installed at any position on the outer surface of the blade, such as on the suction side, the pressure side, the leading edge or the trailing edge or a combination thereof. In order to adapt the flow regulating device, for example, the protruding height of a part of the adjusting device may be changed, and the protruding height indicates the height at which the outer surface of the flow regulating device protrudes from the surrounding surface portion of the rotor blade. Alternatively or additionally, the adaptation may involve changing the inclination angle at which the active surface portion of the flow regulating device is inclined relative to other parts of the rotor blade. In addition, a combination of changing the protruding height and changing the inclination angle may also be used to adapt the flow regulating device.

[0012] The state information of the adaptive flow conditioning device may comprise any information about the (structural) position and / or orientation state of the adaptive flow conditioning device. The state information may for example comprise information about the activation level of the adaptive flow conditioning device. The state information of the adaptive flow conditioning device may also comprise individual state information of each part of the adaptive flow conditioning device, for example a part mounted along a rotor blade in the longitudinal direction.

[0013] The state of the flow conditioning device may be related to a structural state of the flow conditioning device, such as an inclination angle and / or a protrusion height and / or a filling degree of the inflatable bag or hose, which is used to achieve different adaptations of the flow conditioning device, for example with respect to the protrusion height and / or the inclination angle. The adaptive flow conditioning device may, for example, comprise a blade add-on, i.e. a device other than a pure rotor blade.

[0014] The determined corrected value of the wind characteristic may have a higher accuracy than a measured value of the wind characteristic, which corresponds to a true value of the wind characteristic upstream of the plane spanned by the rotor blade. Since the state of the adaptive flow conditioning device affects the wind characteristics downstream of the rotor blade plane, taking the state of the adaptive flow conditioning device into account may enable a more accurate determination of the true value of the wind characteristic. In particular, it is expected that the adaptive flow conditioning device may affect the airflow depending on its state and result in different flows at the same wind speed. Therefore, even if the adaptive flow conditioning device is set to an active state (thereby affecting the airflow near or around the rotor blade), by taking into account the state information of the adaptive flow conditioning device, a relatively reliable and accurate corrected value of the wind characteristic reflecting the true value of the wind characteristic may be obtained.

[0015] The corrected value of the wind property may also be considered as or comprise a calibrated value of the wind property, so that the corrected method may also be considered to represent a calibrated method.

[0016] Measurements of wind characteristics may be obtained, for example, using wind speed sensors and / or wind direction sensors, which are for example mounted at the wind turbine, in particular at a nacelle of the wind turbine.

[0017] According to an embodiment of the invention, the method further comprises obtaining other values ​​of at least one of: power output of the wind turbine, rotor speed of the rotor, pitch angle of the rotor blades, yaw misalignment angle, air temperature, air pressure; wherein the determining the corrected value of the wind characteristic is also based on at least one of the other values ​​obtained, in particular at least the power output of the wind turbine, the rotor speed of the rotor and the value of the pitch angle of the rotor blades. The yaw angle (absolute orientation of the nacelle) may not be of interest, but the degree of misalignment (yaw misalignment angle) may need to be considered.

[0018] The value of the power output may be obtained, for example, from measurements of the current and / or voltage at output terminals of the wind turbine, such as output terminals of a converter of the wind turbine connected to a generator of the wind turbine. The rotor speed of the rotor may be measured, for example, using an encoder or using electrical quantities. The pitch angle of the rotor blades may be obtained from a pitch angle adjustment mechanism, for example using a pitch angle setting or using a measured pitch angle.

[0019] Taking into account all or at least one of the other values ​​listed above may improve the accuracy of the corrected value of the wind characteristic. Since the state of the adaptive flow adjustment device may affect the operational characteristics of the wind turbine, in particular may affect the power output and / or the rotor speed, taking into account the state information of the adaptive flow adjustment device in order to determine the corrected value of the wind characteristic may improve the accuracy of the corrected value of the wind characteristic.

[0020] According to one embodiment of the present invention, determining a corrected value of a wind characteristic comprises: determining a corrected value of the wind characteristic based on the state information of the adaptive flow regulation device; and adding the corrected value of the wind characteristic to the measured value to obtain the corrected value of the wind characteristic.

[0021] The correction value for the wind characteristic may be considered as an offset value which has to be added to the measured value to obtain a corrected value for the wind characteristic.Thereby, the method may be simplified.

[0022] According to one embodiment of the invention, in particular correction values ​​of wind characteristics listed as a function of estimated values ​​of wind speed are obtained using a lookup table and / or a neural network and / or a correction function, which is based on measurement and / or determination and / or estimation of at least one of said wind characteristics and said other values ​​in different states of said adaptive flow regulating device.

[0023] Thus, the correction value may depend at least on an estimated value of the wind speed. The estimated value of the wind speed may in turn be determined based on the measured wind speed and taking into account at least the state of the adaptive flow regulating device. In particular, the estimated value of the wind may be obtained in such a way that the wind speed is estimated based on the power output of the wind turbine, the rotor speed of the rotor, the pitch angle of the rotor blades and the state information of the adaptive flow regulating device. The correction value may, for example, be a function of the estimated value of the wind speed, the power output, the rotor speed and / or the pitch angle of the rotor blades. The correction value may have been previously obtained or derived using measurements and / or determinations and / or estimates, for example, based on simulations of the airflow around the rotor blades and other operating properties of the wind turbine. Thus, accurate correction values ​​may be obtained for different parameters.

[0024] According to an embodiment of the present invention, the wind characteristic comprises wind speed, wherein a value of an estimated wind speed estimated based on the state information is used as a reliable value when constructing the correction function.

[0025] Taking into account the state information of the adaptive flow conditioning device may enable an accurate wind speed value to be estimated, in particular when further taking into account the power output of the wind turbine, the rotor speed of the rotor and the pitch angles of the rotor blades. Thereby, constructing a correction function may be simplified. The correction function may for example be implemented as a mathematical function, a lookup table or a neural network. Thereby, the use of a wind speed sensor may be omitted. Thereby, the method may be simplified.

[0026] According to an embodiment of the invention, the measured value of the wind speed is obtained from a wind speed sensor installed at the wind turbine. Conventionally, the wind speed sensor may be installed at the nacelle. Thus, the method may support conventional wind turbines.

[0027] According to an embodiment of the invention, the value of the estimated wind speed is based on the power output, the rotor speed, the value of the pitch angle and the state information of the adaptive flow adjustment device. Conventionally, only the power output, the rotor speed and the pitch angle of the rotor blades may be considered to estimate the value of the wind speed. Since the adaptive flow adjustment device may affect the wind characteristics downstream of the rotor plane depending on its state, considering the state information of the adaptive flow adjustment device may improve the accuracy of the estimation of the wind speed value.

[0028] According to an embodiment of the present invention, the wind characteristic comprises wind direction, wherein the value of wind direction measured using a wind direction sensor at an adjacent mast is used as a reliable value when constructing the correction function.

[0029] The wind direction determined by the wind direction sensor at the adjacent mast can be a reliable wind direction measurement. Thus, the construction of the correction function can be improved.

[0030] According to an embodiment of the invention, said wind characteristic comprises wind direction, wherein a derived value of said wind direction as obtained by performing a hill climbing algorithm in which the nacelle orientation is changed until a maximum power output is obtained is used as a reliable value when constructing said correction function.

[0031] The power output is expected to be maximum when the wind turbine nacelle is yawed so that the axis of rotation is parallel to the true wind direction upstream of the rotor blades.Thereby, there is no need to provide an additional wind direction sensor, for example mounted at the mast.

[0032] According to an embodiment of the invention, the measured value of the wind direction is obtained from at least one of: a wind direction sensor installed at the wind turbine; a nacelle orientation. Thereby, the measured value of the wind direction is obtained in a simple manner using equipment included in a conventional wind turbine.

[0033] According to one embodiment of the present invention, the adaptive flow regulation device or at least a part of the multiple adaptive flow regulation parts can be adjusted to be in at least two states representing different activation levels, in particular in more than two states, and the state information indicates the corresponding activation level.

[0034] At least an open state and a closed state may be included in the different activation levels. When the adaptive flow regulating device comprises a plurality of parts, they may be independently set to different discrete activation states. Thus, conventionally available flow regulating devices may be supported.

[0035] According to an embodiment of the invention, the adaptive flow conditioning device comprises a plurality of adaptive flow conditioning parts installed along the rotor blade, wherein the status information of the adaptive flow conditioning device comprises status information of at least one, in particular all, of the plurality of adaptive flow conditioning parts.

[0036] All parts of the adaptive flow conditioning device may change or influence the airflow around or near the wind turbine and therefore may need to be taken into account in order to obtain corrected values ​​of wind characteristics in an accurate manner.

[0037] According to one embodiment of the invention, the adaptive flow conditioning device comprises: at least one adaptive spoiler mounted at at least one of the rotor blades, in particular at the leading edge of the suction surface; and / or at least one adaptive flap mounted at at least one of the rotor blades, in particular at the trailing edge of the suction surface. Thus, conventionally available adaptive flow conditioning devices are supported.

[0038] According to an embodiment, a method of controlling a wind turbine is provided, the method comprising: performing a method of correcting a measured value of at least one wind characteristic; and controlling the wind turbine based on the corrected measured value of the wind characteristic.

[0039] It should be understood that the features disclosed, described, explained or provided, alone or in any combination, for the method of correcting measured values ​​of at least one wind characteristic associated with a wind turbine may also be applied or provided, alone or in any combination, for an arrangement structure for correcting measured values ​​of at least one wind characteristic associated with a wind turbine according to embodiments of the present invention, and vice versa, the wind turbine having a rotor with a plurality of rotor blades, at least one rotor blade being equipped with an adaptive flow conditioning device.

[0040] According to one embodiment of the present invention, there is provided an arrangement structure for correcting a measured value of at least one wind characteristic associated with a wind turbine, in particular a wind speed and / or a wind direction, the wind turbine having a rotor, the rotor having a plurality of rotor blades, at least one rotor blade being equipped with an adaptive flow regulation device, the arrangement structure comprising: a sensor adapted to measure the value of the wind characteristic; an input module adapted to obtain status information of the adaptive flow regulation device; and a processor adapted to determine a corrected value of the wind characteristic based on the measured value of the wind characteristic and the status information of the adaptive flow regulation device.

[0041] The above-defined aspects of the present invention as well as further aspects will be apparent from the examples of embodiment described hereinafter and will be explained with reference to these examples of embodiment. The present invention will be described in more detail hereinafter with reference to examples of embodiment, but the present invention is not limited to these examples of embodiment. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 Schematically illustrates an arrangement for correcting a measured value of a wind characteristic wind speed associated with a wind turbine according to an embodiment of the present invention, the arrangement being configured to perform a method of correcting a measured value of a wind speed associated with a wind turbine according to an embodiment of the present invention;

[0043] Figure 2 schematically illustrates an arrangement for correcting measured values ​​of a wind characteristic wind speed associated with a wind turbine according to another embodiment of the present invention, the arrangement being configured to perform a method of correcting measured values ​​of a wind speed associated with a wind turbine according to another embodiment of the present invention;

[0044] Figure 3 Schematically illustrates an arrangement for correcting measured values ​​of a wind characteristic wind direction associated with a wind turbine according to an embodiment of the present invention, the arrangement being configured to perform a method for correcting measured values ​​of a wind direction associated with a wind turbine according to an embodiment of the present invention;

[0045] Figure 4 schematically illustrates an arrangement for correcting measured values ​​of a wind characteristic wind direction associated with a wind turbine according to another embodiment of the present invention, the arrangement being configured to perform a method for correcting measured values ​​of a wind direction associated with a wind turbine according to another embodiment of the present invention; and

[0046] Figure 5 A wind turbine to which an embodiment of the present invention is applied is schematically illustrated. DETAILED DESCRIPTION

[0047] Figures 1 to 4Structurally and / or functionally similar elements or modules are labeled with reference numerals that differ only in the first digit. The description of an element that is not specifically described with reference to a particular embodiment can be obtained from the corresponding description of the element in the context of another embodiment. Figures 1 to 4 The boxes or modules in may represent hardware and / or software or functional modules.

[0048] Arrangement 100 is used to align the wind turbine 1 (see Figure 5 ), the arrangement 100 comprising a wind turbine 1 having a nacelle 2 (on top of a tower 6) holding a rotor 3 (driving a generator 4) having a plurality of rotor blades 5, at least one rotor blade 5 being equipped with an adaptive flow conditioning device 7. The arrangement comprises a wind speed sensor 103 adapted to measure a value 101 of a wind characteristic, here wind speed. The arrangement 100 further comprises an input module 105 adapted to obtain status information 107 of the adaptive flow conditioning device 7.

[0049] exist Figure 5 In the embodiment of the wind turbine 1 shown in the figure, the rotor has a rotor blade 5, which has an adaptive flow conditioning device 7 installed, which includes: a spoiler 9, which is installed at the leading edge 11 at the suction side of the rotor blade 5; and a flap 13, which is installed at the trailing edge 15 at the suction side of the rotor blade 5.

[0050] Figure 1 The arrangement 100 shown in further comprises a processor 109 adapted to determine a corrected value 111 of the wind speed based on the measured value 101 of the wind speed and the state information 107 of the adaptive flow conditioning device 7. Thereby, the processor 109 obtains at least the power output of the wind turbine, the rotor speed of the rotor and other values ​​113 of the pitch angles of the rotor blades. The corrected value 111 is thereby further determined based on the values ​​113 of at least the power output of the wind turbine, the rotor speed of the rotor and the pitch angles of the rotor blades.

[0051] Furthermore, determining a corrected value 111 of the wind speed (generally of a wind characteristic) comprises determining a corrected value 115 of the wind speed based on the state information 107 of the adaptive flow conditioning device 7 and the estimated wind speed 123. Figure 1 In the embodiment 100 shown in FIG. 1 , a value 123 of the estimated wind speed is determined by an estimation module 125 based on the state information 107 of the adaptive flow regulation device 7 and the values ​​113 of the pitch angle, the rotor speed and the power output.

[0052] Furthermore, the correction value 115 is added to the measured value 101 of the wind speed using an adding element 117 to obtain a corrected value 111 of the wind speed. Figure 1In the embodiment shown in , the correction value 105 for wind speed is obtained from a two-dimensional lookup table 119, which has been constructed using a calibration function 121. The calibration function 121 may be based on measurements in different states of the adaptive flow conditioning device 7, i.e. determining at least one of the wind speed and the other value 113.

[0053] For constructing the calibration function 121 and / or the lookup table 119, the estimated wind speed 123 as estimated by the estimation module 125 is used as a reliable and accurate value of the wind speed upstream of the plane of the rotor blades. Therein, the calibration function receives as input the measured value 101 of the wind speed, the estimated wind speed 123 and the state information 107 of the adaptive flow conditioning device. The lookup table 119 receives the state information 107 and the estimated wind speed 123 for looking up the correction value 115.

[0054] according to Figure 1 The embodiment shown in , introduces a new dimension for wind speed calibration or wind speed correction, which is related to the activation level of a flow conditioning device, which in particular enables air separation close to the rotor blades (airstall). The estimated wind speed 123 (the available wind speed) is used together with the activation level of the flow conditioning device as a source for a lookup table 119 to look up the correction value 115. The lookup table may be a two-dimensional lookup table, which receives as input two quantities, namely the estimated wind speed 123 and the state information 107. The calibration function 121 may compare the estimated wind speed 123 with the measured wind speed 101 in different operating phases of the wind turbine, and may provide values ​​for wind speed offset compensation, namely the correction value 115, to the lookup table 119.

[0055] In a module 112, the pitch angle, the rotor speed and the power output of the wind turbine are determined, for example based on the measurements. In a further module 108, status information of the adaptive flow regulation device 7 is determined or received.

[0056] Figure 2 Schematically illustrates an arrangement 200 for correcting a measured value 201 of wind speed, measured by a wind speed sensor 203, according to another embodiment of the present invention. Figure 2 In the module 208 of the arrangement 200 shown in FIG. 2 , values ​​213 of the pitch angle, the rotor speed and the power output of the wind turbine are determined, and state information 207 of the adaptive flow regulation device 7 is obtained or determined. Furthermore, the values ​​213 of the rotor speed, the pitch angle and the power output and the state information 207 of the adaptive flow regulation device are provided to a lookup table 219 and a calibration function 221.

[0057] However, in addition to Figure 1In addition to the embodiment shown in , the arrangement 200 also includes a determination module or receiving module 227, which can receive or determine other sensor data, such as rotor speed, air temperature, air pressure, etc., which are collectively labeled with reference numeral 229. In addition, these values ​​of the other sensor data 229 are also provided as inputs to the lookup table 219 and the calibration function 221. In addition, as in Figure 1 As in the embodiment 100 shown in FIG. 2 , the lookup table 219 and the calibration function 221 receive as input the measured value 201 of the wind speed.

[0058] Herein, the lookup table 219 has a dimension higher than dimension 2, such as dimension 3, dimension 4, dimension 5, or even higher, depending on how much other sensor data 229 is received or considered. In general, several actuator settings may be considered, which may increase the number of dimensions in the lookup table 219. In one embodiment, multi-dimensional lookup tables may then be exchanged with neural networks to avoid extremely large tables.

[0059] Thus, the correction value 215 output by the lookup table 219 takes into account the settings of a number of actuators or measurements of other sensors. The correction value 215 added to the measured value 201 of wind speed produces a corrected value 211 of wind speed.

[0060] Figure 3 Schematically illustrates an arrangement 300 for correcting a measurement of wind direction associated with a wind turbine according to an embodiment of the present invention. Figure 1 and Figure 2 The embodiments 100 and 200 shown in FIG. are different. Figure 3 The arrangement 300 shown in 300 comprises a wind direction sensor 303, which provides a measurement 301 of the wind direction. In addition, the arrangement 300 comprises a reference wind direction sensor 331, which is mounted at a mast (e.g., located near the wind turbine, but not affected by the operation of the wind turbine), which provides a mast measurement 333 of the wind direction. The mast measurement 333 is used as a reliable value of the wind direction by the calibration function 321. The mast on which the wind direction sensor 331 is mounted may be located in free wind near the wind turbine. In contrast, the wind direction sensor 303 may, for example, be arranged at the wind turbine, for example on the nacelle.

[0061] Arrangement 300 includes a Figure 2Modules 327 and 308 of the modules 227, 208 described above. The calibration function 321 receives other sensor data 329, the measured values ​​301 of wind speed, power output, values ​​313 of pitch angle and rotor speed, state information 307 and further mast measured wind direction 333. The high-dimensional lookup table 319 receives as input the measured values ​​301 of wind direction, other sensor data 329 and values ​​313 of power output, rotation speed, pitch angle and further state information 307 of the flow conditioning device.

[0062] Figure 4 Schematically illustrates an arrangement 400 for correcting a measurement of wind direction associated with a wind turbine according to another embodiment of the present invention. The arrangement 400 is similar to Figure 3 . However, instead of using the value 333 measured by the wind direction sensor 331 mounted at the mast, the arrangement 400 is configured to execute a hill climbing algorithm 421 which receives the active power output 435 (from a determination module 436) dependent on the yaw angle in order to determine a reliable value for the wind direction. Thus, the hill climbing algorithm finds the wind direction offset based on different sensors and actuators, using a hill climbing algorithm that searches for the most optimized power production.

[0063] Instead of Figure 3 and Figure 4 In the arrangement structures 300 and 400 shown in FIG. 3 , a high-dimensional lookup table 319 or 419 is used, and a two-dimensional lookup table can also be used, as has been described with reference to FIG. Figure 1 For example, based on the power output, pitch angle and rotation speed and the state information, the estimated wind speed can be calculated, such as Figure 1 and can be used as an input to a two-dimensional lookup table, which can also receive status information of the flow regulation device.

[0064] In general, embodiments of the present invention address the use of active flaps and trim stall segments (e.g., spoilers, flaps). These flow conditioning devices will affect the transfer function from measured wind direction to free wind direction. Embodiments of the present invention realize this dependency and propose solutions to take this effect of the state of the flow conditioning device into account to ensure that the wind direction is properly converted into an effective wind direction signal with multiple controller applications through an improved transfer function. Most importantly, reliable wind direction determination may be required to correctly align the turbine into the wind.

[0065] Utilizing active flaps and trimmed stall segments will also impact the transfer function from measured wind speed to free wind speed. Embodiments realize this dependency and propose solutions to take this effect into account to ensure that wind speed is properly converted into a valid wind speed signal with multiple controller applications through an improved transfer function.

[0066] Embodiments may also support other active attachments on the blade, and may also be extended to other types of actuators.

[0067] If the wind speed sensor outputs are not affected by changes in actuator settings, they will be appropriately compensated or calibrated according to these actuators. The airflow (wind) at the sensor location may not be affected by the active blade attachment (perhaps because the attachment is located closer to the tip of the blade than the root where the sensor is located). However, other quantities may still be affected by the activation of the attachment (e.g., for similar wind speeds, the pitch position may have another different value depending on the activation and / or position and / or orientation of the attachment). Therefore, the activation of the attachment may indirectly affect the calibration, and therefore, the activation level or state of the attachment may be used as an input to the function that performs the wind characteristic calibration / correction.

[0068] According to an embodiment of the present invention, a parameter table with values ​​for calibration / compensation / correction according to the activation level of the active accessory may be utilized.

[0069] It should be noted that the term "comprising" does not exclude other elements or steps, and the wording "a", "an" or "an" does not exclude a plurality. Furthermore, elements described in connection with different embodiments may also be combined. It should also be noted that the reference signs in the claims should not be interpreted as limiting the scope of the claims.

Claims

1. A method for correcting a measured value (101) of at least one wind property associated with a wind turbine (1), the wind turbine (1) having a rotor (3), the rotor (3) having a plurality of rotor blades (5), at least one rotor blade (5) being equipped with an adaptive flow adjustment device (7), the adaptive flow adjustment device being different from a mechanism for adjusting a blade pitch angle of the blade, the method comprising: measuring a measured value of the wind characteristic (101); obtaining status information (107) of the adaptive flow regulating device (7), the status information comprising information about the structural position and / or orientation status of the adaptive flow regulating device; and determining a corrected value (111) of the wind property based on the measured value (101) of the wind property and the status information (107) of the adaptive flow regulation device (7), Wherein, determining the corrected value (111) of the wind characteristic comprises: determining a correction value (115) for the wind characteristic based on the status information (107) of the adaptive flow regulation device (7); and adding the correction value (115) of the wind characteristic to the measured value (101) to obtain the corrected value (111) of the wind characteristic; The correction value (115) of the wind characteristic is obtained using a lookup table (119) and / or a neural network and / or a correction function (121), wherein the wind characteristic includes wind direction, wherein, when constructing the correction function, the value (301) of the wind direction measured at the mast using a wind direction sensor (331) is used as a reliable value; or Therein, the derived value of the wind direction obtained by executing a hill climbing algorithm, in which the nacelle orientation is changed until a maximum power output is obtained (435), is used as a reliable value when constructing the correction function.

2. The method according to the preceding claim, further comprising: Obtain other values ​​(113) of at least one of the following: the power output of the wind turbine, the rotor speed of the rotor or generator, the pitch angle of the rotor blades, Yaw misalignment angle, Temperature, Air pressure; Therein, said determining of said corrected value (111) of said wind characteristic is also based on at least one of said other values ​​(113) obtained.

3. The method according to claim 2, wherein: The determining of the corrected value (111) of the wind property is further based on at least a power output of the wind turbine, a rotor speed of the rotor and a value of a pitch angle of the rotor blades.

4. The method according to any one of claims 2 to 3, wherein: The correction value (115) of the wind characteristic is based on a measurement and / or determination and / or estimation of at least one of the wind characteristic and other values ​​(113) at different states of the adaptive flow conditioning device.

5. The method according to claim 1, wherein: The wind characteristics include wind speed, wherein a value (123) of an estimated wind speed estimated based on the state information (107) is used as a reliable value when constructing the correction function (121).

6. The method according to claim 5, wherein: The measured value (101) of the wind speed is obtained from a wind speed sensor (103) installed at the wind turbine (1).

7. The method according to claim 5, wherein: The value (123) of estimated wind speed is based on power output, rotor speed, value (113) of pitch angle and status information (107) of the adaptive flow regulation device (7).

8. The method according to claim 1, wherein: The measured value of the wind direction is obtained from at least one of: a wind direction sensor (303) mounted at the wind turbine; Cabin orientation.

9. The method according to claim 1 or 2, wherein: The adaptive flow regulation device (7) or at least a part of the plurality of adaptive flow regulation parts can be adjusted to be in at least two states representing different activation levels, and the state information (107) indicates the corresponding activation level.

10. The method according to claim 1 or 2, wherein: The adaptive flow conditioning device comprises a plurality of adaptive flow conditioning portions (9, 13) mounted along the rotor blade, wherein the state information (107) of the adaptive flow conditioning device comprises state information of at least one of the plurality of adaptive flow conditioning portions.

11. The method according to claim 1 or 2, wherein: The adaptive flow regulating device comprises: at least one adaptive spoiler (9) mounted at least one of the rotor blades; and / or At least one adaptive flap (13) is mounted on at least one of the rotor blades.

12. The method according to claim 11, wherein: The at least one adaptive spoiler (9) is mounted at the leading edge (11) of the suction surface.

13. The method according to claim 11, wherein: The at least one adaptive flap (13) is mounted at the trailing edge of the suction surface.

14. A method for controlling a wind turbine, the wind turbine (1) having a rotor (3), the rotor (3) having a plurality of rotor blades (5), at least one rotor blade (5) being equipped with an adaptive flow conditioning device (7), the method comprising: performing a method of correcting a measured value of at least one wind characteristic; as well as controlling the wind turbine (1) based on the corrected measurement (111) of the wind characteristic; Wherein, determining the corrected measured value (111) of the wind characteristic comprises: determining a correction value (115) for the wind characteristic based on status information (107) of the adaptive flow regulating device (7); and adding the correction value (115) of the wind characteristic to the measurement value (101) to obtain the corrected measurement value (111) of the wind characteristic; The correction value (115) of the wind characteristic is obtained using a lookup table (119) and / or a neural network and / or a correction function (121), Wherein, the wind characteristics include wind direction, wherein, when constructing the correction function, the value (301) of the wind direction measured at the mast using a wind direction sensor (331) is used as a reliable value; or Therein, the derived value of the wind direction obtained by executing a hill climbing algorithm, in which the nacelle orientation is changed until a maximum power output is obtained (435), is used as a reliable value when constructing the correction function.

15. The method according to claim 14, further comprising: Obtaining other values ​​of at least one of the power output of the wind turbine, the rotor speed of the rotor or generator, the pitch angle of the rotor blades, the yaw misalignment angle, the air temperature, and the air pressure (113); Therein, the correction value (115) of the wind characteristic is based on a measurement and / or determination and / or estimation of at least one of the wind characteristic and other values ​​(113) at different states of the adaptive flow conditioning device.

16. An arrangement (100, ..., 400) for correcting a measured value (101) of at least one wind property associated with a wind turbine (1), the wind turbine (1) having a rotor (3), the rotor (3) having a plurality of rotor blades (5), at least one rotor blade (5) being equipped with an adaptive flow adjustment device (7), the adaptive flow adjustment device being different from a mechanism for adjusting a blade pitch angle of the blade, the arrangement comprising: a sensor (103, 303) adapted to measure a measurement value (101, 301) of said wind characteristic; an input module (105) adapted to obtain status information (107) of the adaptive flow regulating device (7), the status information comprising information about the structural position and / or orientation status of the adaptive flow regulating device; as well as a processor (109) adapted to determine a corrected value (111) of the wind property based on the measured value (101) of the wind property and the state information (107) of the adaptive flow conditioning device (7); Wherein, determining the corrected measured value (111) of the wind characteristic comprises: determining a correction value (115) for the wind characteristic based on status information (107) of the adaptive flow regulating device (7); and adding the correction value (115) of the wind characteristic to the measurement value (101) to obtain the corrected measurement value (111) of the wind characteristic; The correction value (115) of the wind characteristic is obtained using a lookup table (119) and / or a neural network and / or a correction function (121), Wherein, the wind characteristics include wind direction, wherein, when constructing the correction function, the value (301) of the wind direction measured at the mast using a wind direction sensor (331) is used as a reliable value; or Therein, the derived value of the wind direction obtained by executing a hill climbing algorithm, in which the nacelle orientation is changed until a maximum power output is obtained (435), is used as a reliable value when constructing the correction function.

17. The arrangement of claim 16, wherein: The processor is adapted to obtain at least one other value of a power output of the wind turbine, a rotor speed of the rotor or generator, a pitch angle of the rotor blades, a yaw misalignment angle, an air temperature, an air pressure (113), Therein, the correction value (115) of the wind characteristic is based on a measurement and / or determination and / or estimation of at least one of the wind characteristic and other values ​​(113) at different states of the adaptive flow conditioning device.

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