Wind turbine yaw wind alignment error correction method based on the calibration of the anemometer output signal

Abstract

The present invention discloses a method for correcting the yaw wind alignment error of a wind turbine based on the output signal calibration of a wind vane, which includes the following steps: obtaining the yaw wind alignment error angle value; converting the obtained yaw wind alignment deviation angle value into a corresponding electrical signal; correcting the output electrical signal of the wind vane through a yaw wind alignment deviation correction module; connecting the compensated electrical signal to the analog input module of the controller to achieve the correction of the yaw wind alignment deviation; analyzing and verifying the correction effect of the yaw wind alignment error. In the present invention, only a yaw wind alignment deviation correction module needs to be installed on the output side of the wind vane, without modifying the control program of the wind turbine and adjusting the installation orientation of the wind vane. The correction method is easy to implement and apply, and is convenient for repeated correction and optimization. The verification of the correction effect is added to the correction method, and the increase in power generation brought by the change of the wind direction parameter of the wind turbine after correction is analyzed and verified. The correction can be guided according to the results, so as to achieve the optimal correction effect.

Description

Technical Field

[0001] The present invention belongs to the technical field of yaw control of wind turbines, and particularly relates to a method for correcting the yaw wind alignment error of a wind turbine based on the calibration of the output signal of a wind vane. Background Art

[0002] During the actual operation of a wind turbine, the nacelle will automatically yaw with the change of the wind direction. Only by making the horizontal axis of the nacelle parallel to the wind direction as much as possible, that is, making the impeller sweeping plane face the oncoming wind direction, can the maximum amount of wind energy be obtained and the power generation efficiency of the wind turbine be improved. At present, in the industry, the wind direction value of most wind turbines is directly measured by a wind vane installed at the tail of the nacelle. The wind vane is easily limited by the installation process and affected by human factors during installation and commissioning, resulting in an installation deviation between the horizontal axis of the nacelle and the initial position of the wind vane. In addition, since the installation position of the wind vane is easily affected by the blade wake and wear during long-term operation will also cause a certain measurement deviation between the measured value of the wind vane and the actual oncoming wind direction at the front end of the impeller. The above installation error and measurement deviation of the wind vane are manifested as an angle between the wind direction measured by the wind vane and the actual oncoming wind direction during the actual operation of the wind turbine, resulting in a deviation between the horizontal axis of the nacelle and the actual oncoming wind direction, which is called the yaw wind alignment error. The yaw wind alignment error will affect the absorption of wind energy by the unit, reduce the power generation efficiency of the unit, and at the same time, the unit will bear an eccentric load, causing abnormal wear and vibration.

[0003] Currently, in the industry, the correction of the yaw wind alignment error is mainly through the following two methods:

[0004] (1) Determine the azimuth and angle value of the yaw wind alignment error, and adjust the installation azimuth of the wind vane so that the included angle between the initial zero position of the wind vane and the horizontal axis of the nacelle is equal to the yaw wind alignment error angle to achieve accurate wind alignment. However, this method has poor accuracy and the implementation effect cannot be guaranteed.

[0005] (2) According to the yaw error value, modify the control program in the main control system of the unit, and compensate for the yaw wind alignment deviation through program control. However, most of the main engine manufacturers will not provide the main control system source program and special software to the outside due to technical confidentiality considerations, and it is difficult for the operator to lead the optimization work of yaw wind alignment correction, so the practicability is poor. Summary of the Invention

[0006] In order to solve the technical problems existing in the prior art, the purpose of the present invention is to provide a method for correcting the yaw wind alignment error of a wind turbine based on the calibration of the output signal of a wind vane.

[0007] In order to achieve the above purpose and reach the above technical effect, the technical solution adopted by the present invention is as follows:

[0008] A method for correcting the yaw wind alignment error of a wind turbine based on the calibration of the output signal of a wind vane, comprising the following steps:

[0009] (1) Obtain the yaw wind alignment error angle value;

[0010] (2) Convert the obtained yaw wind alignment deviation angle value into a corresponding electrical signal;

[0011] (3) Correct the electrical signal output by the wind vane through the yaw wind alignment deviation correction module, so as to achieve error compensation and elimination;

[0012] (4) Connect the compensated electrical signal to the analog input module of the controller to realize the correction of the yaw wind alignment deviation;

[0013] (5) Analyze and verify the effect of the yaw wind alignment error correction.

[0014] Further, in step (1), the yaw wind alignment error angle value is obtained by analyzing the data of the lidar wind measurement or the background monitoring system.

[0015] Further, the steps of obtaining the yaw wind alignment error angle value by lidar wind measurement include:

[0016] First, install a lidar on the top of the wind turbine nacelle, and the wind measurement direction of the lidar is in the same horizontal direction as the central axis of the nacelle; synchronously collect the real-time data of the wind direction measured by the lidar and the wind direction of the wind vane on the nacelle, and the test period is not less than 3 months. Analyze and process the data, eliminate the invalid data, and perform statistical analysis on the remaining data to obtain the yaw wind alignment error angle value.

[0017] Further, the invalid data includes: a) data in the unconnected grid and shutdown states, b) data in the yaw operation state, c) data in rainy and foggy weather.

[0018] Further, the steps of obtaining the yaw wind alignment error angle value through the background monitoring system include:

[0019] Select the historical operation data of the wind turbine for at least one month, screen and clean the original data, and eliminate the invalid data; divide several data sets according to different wind alignment deviation angle intervals, and respectively fit the corresponding power curves according to the operation data of the data sets. The wind alignment deviation angle interval corresponding to the optimal power curve is the actual yaw wind alignment error angle value.

[0020] Further, in step (2), the steps of converting the obtained yaw wind alignment deviation angle value into a corresponding electrical signal include:

[0021] Convert the obtained yaw wind alignment deviation angle value into a corresponding correction current value i in the form of interpolation calculation according to the current / direction linear relationship. The calculation formula of the correction current value i is:

[0022]

[0023] In the formula, θ is the yaw wind alignment error angle value.

[0024] Furthermore, in step (3), the steps of correcting the electrical signal output by the wind vane through the yaw wind alignment deviation correction module include:

[0025] Connect the electrical signal output by the wind vane to the yaw wind alignment deviation correction module. After being calibrated by the yaw wind alignment deviation correction module, the required current signal is output, thereby achieving error compensation and elimination.

[0026] Furthermore, in step (5), the steps of analyzing and verifying the yaw wind alignment error correction effect include:

[0027] Assume that the inputs of two adjacent units in the wind farm are both the incoming wind I. Compare the generated energy output AEP1(I, p1, p2…, p n ) of one unit with the generated energy output AEP2(I, p1, p2…, p n ) of the test unit. The latter is the first-order approximation of the former. See formula (1):

[0028]

[0029] In the formula, dp i is the small difference in parameters between adjacent units, assumed to be a fixed value;

[0030] After optimization, the change in the generated energy output AEP2 of the test unit is shown in formula (2):

[0031]

[0032] In the formula, dp′ i is the change in parameters caused by the yaw wind alignment error optimization work; dp″ i is the change in parameters over time;

[0033] Meanwhile, the output of the comparison unit also changes over time. The change in the comparison unit is the same as or only slightly different from that of the test unit. See formula (3):

[0034]

[0035] Substitute formula (1) into formula (2) minus formula (3) and neglect the second-order small quantity to obtain the increase in generated energy ΔAEP. See formula (4):

[0036]

[0037] ΔAEP represents the change in power generation brought about by the yaw correction of the generator set, which is used to analyze and verify the impact of the yaw error correction on the power generation of the unit. If ΔAEP is positive, it means that the power generation has increased, and the greater the value, the more obvious the improvement in power generation, indicating that the yaw correction has achieved the expected effect. If ΔAEP is negative, it means that the power generation has decreased, and the smaller the value, the more obvious the decrease in power generation, suggesting that the yaw correction has had a negative impact and needs to be corrected again.

[0038] The present invention also discloses a wind turbine yaw alignment error correction system based on the calibration of the output signal of the wind vane. The correction is carried out according to the wind turbine yaw alignment error correction method based on the calibration of the output signal of the wind vane as described above. The system includes:

[0039] A yaw error value acquisition module for acquiring the yaw alignment error angle value;

[0040] An angle signal conversion module for converting the yaw alignment error angle value into the required electrical signal;

[0041] A yaw alignment deviation correction module for correcting the electrical signal output by the wind vane;

[0042] A controller, the controller includes a controller analog input module, and the controller analog input module analyzes and processes the corrected electrical signal to achieve the correction of the yaw alignment deviation;

[0043] A verification module for analyzing and verifying the yaw alignment error correction effect;

[0044] The yaw error value acquisition module, the angle signal conversion module, the yaw alignment deviation correction module, and the controller analog input module are electrically connected in sequence.

[0045] Further, the yaw error value acquisition module includes a lidar, a wind vane, and a calculation module. The lidar is installed on the top of the wind turbine nacelle. The wind measurement direction of the lidar is in the same horizontal direction as the central axis of the nacelle. The lidar is connected to the calculation module. The calculation module is used to collect the real-time data of the wind direction measured by the lidar and the wind vane on the nacelle and perform data processing to obtain the yaw alignment error angle value.

[0046] Compared with the prior art, the beneficial effects of the present invention are:

[0047] The present invention discloses a method for correcting the yaw wind alignment error of a wind turbine based on the calibration of the output signal of a wind vane. Without modifying the control program of the wind turbine and adjusting the installation orientation of the wind vane, only by installing a yaw wind alignment deviation correction module on the output side of the wind vane, error compensation and elimination can be achieved, and the correction of the yaw wind alignment deviation can be realized. The correction method is easy to implement and apply, and is convenient for repeated correction and optimization. The verification of the correction effect is added to the correction method, and the power generation increase caused by the change of the wind direction parameter of the wind turbine after correction is analyzed and verified. The correction can be guided according to the results, so as to achieve the optimal correction effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 is a flowchart of the present invention;

[0049] Figure 2 is a schematic diagram of the installation position of the lidar in Embodiment 1 of the present invention;

[0050] Figure 3 is a schematic diagram of the yaw wind alignment error angle of the wind turbine in Embodiment 1 of the present invention;

[0051] Figure 4 is a schematic diagram of the power curve in Embodiment 1 of the present invention;

[0052] Figure 5 is a corresponding diagram of the wind direction angle and the current output signal in Embodiment 1 of the present invention;

[0053] Figure 6 is a schematic diagram of the installation of the yaw wind alignment deviation correction module in Embodiment 1 of the present invention.

[0054] Figure 7 is a model diagram for comparing and evaluating the power generation change of adjacent wind turbines in Embodiment 1 of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0055] The present invention will be described in detail below so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making the protection scope of the present invention more clearly defined.

[0056] The following gives a brief overview of one or more aspects to provide a basic understanding of these aspects. This overview is not an exhaustive survey of all contemplated aspects, and is neither intended to identify key or decisive elements of all aspects nor to define the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that follows.

[0057] As Figure 1-7 shown, the present invention discloses a method for correcting the yaw wind alignment error of a wind turbine based on the calibration of the output signal of a wind vane, including the following steps:

[0058] (1) Obtain the yaw wind alignment error angle value by means of lidar wind measurement or data analysis of the background monitoring system, etc.;

[0059] (2) Convert the obtained yaw wind alignment deviation angle value into a corresponding electrical signal;

[0060] (3) Correct the electrical signal output by the wind vane, so as to achieve error compensation and elimination;

[0061] (4) Connect the compensated electrical signal to the controller for analysis and discharging, to achieve the correction of the yaw wind alignment deviation;

[0062] (5) Analyze and verify the correction effect of the yaw wind alignment error.

[0063] In step (1), the steps of obtaining the yaw wind alignment error angle value by lidar wind measurement include:

[0064] Install a lidar 2 on the top of the fan nacelle 1. The wind measurement direction of the lidar 2 needs to be in the same horizontal direction as the central axis of the nacelle 1. The installation position of the lidar 2 is as Figure 2 shown; to ensure the accuracy of the measured error, the test period shall not be less than 3 months. At the same time, collect the real-time data of the wind direction measured by the lidar 2 and the wind vane 3 on the nacelle 1, analyze and process the data, and eliminate the following types of data: a) data in the unconnected grid and shutdown states, b) data in the yaw operation state, c) data in rainy and foggy weather; conduct statistical analysis on the eliminated data to obtain the yaw wind alignment error angle value.

[0065] In step (1), the steps of obtaining the yaw wind alignment error angle value by data analysis of the background monitoring system include:

[0066] Select the historical operation data of the wind turbine for several months, screen and clean the selected SCADA raw data, and eliminate invalid data. Divide several data sets according to different yaw alignment deviation angle intervals. The data sets include operation data such as wind speed, power, pitch angle, and rotational speed. Fit the corresponding power curves respectively. The yaw alignment deviation angle interval corresponding to the optimal power curve is the actual yaw wind alignment error angle value.

[0067] In step (2), convert the obtained yaw wind alignment deviation angle value into a corresponding correction current value by means of interpolation calculation according to the current / direction linear relationship.

[0068] In step (3), connect the electrical signal output by the wind vane to the yaw wind alignment deviation correction module. The electrical signal is calibrated by the yaw wind alignment deviation correction module and then outputs the required current signal, so as to achieve error compensation and elimination.

[0069] In step (4), the corrected current signal is connected to the controller analog input module of the controller to achieve precise wind alignment of the control system and correct the yaw wind alignment deviation.

[0070] The present invention also discloses a wind turbine yaw wind alignment error correction system based on the calibration of the output signal of the wind vane, including:

[0071] A yaw error value acquisition module for acquiring the yaw wind alignment error angle value, which can be obtained by lidar wind measurement or data analysis of the background monitoring system;

[0072] An angle signal conversion module for converting the yaw wind alignment error angle value into the required electrical signal;

[0073] A yaw wind alignment deviation correction module for correcting the electrical signal output by the wind vane;

[0074] A controller, the controller includes a controller analog input module, and the controller analog input module analyzes and processes the corrected electrical signal to achieve the correction of the yaw wind alignment deviation;

[0075] A verification module for analyzing and verifying the yaw wind alignment error correction effect;

[0076] The yaw error value acquisition module, the angle signal conversion module, the yaw wind alignment deviation correction module, and the controller analog input module are electrically connected in sequence.

[0077] As one embodiment of the present invention, if the yaw wind alignment error angle value is obtained by lidar wind measurement, at this time, the yaw error value acquisition module includes a lidar, a wind vane, and a calculation module. The lidar is installed on the top of the wind turbine nacelle. The wind measurement direction of the lidar is in the same horizontal direction as the central axis of the nacelle. The lidar is connected to the calculation module. The calculation module is used to collect the real-time data of the wind direction measured by the lidar and the wind vane on the nacelle and perform data processing to obtain the yaw wind alignment error angle value.

[0078] Embodiment 1

[0079] As Figure 1-7 shown, the wind turbine yaw wind alignment error correction method based on the calibration of the output signal of the wind vane includes the following steps:

[0080] (1) Obtain the yaw wind alignment error angle value through lidar wind measurement or data analysis of the background monitoring system

[0081] (11) The steps of obtaining the yaw wind alignment error angle value through lidar wind measurement include:

[0082] Install a lidar 2 on the top of the fan nacelle 1. During installation, adjust the wind measurement direction of the lidar 2 to ensure that the wind measurement direction of the lidar 2 and the central axis of the nacelle 1 are in the same horizontal direction. The lidar 2 can measure the wind direction of the oncoming flow in the front of the nacelle 1, and this wind direction is considered the true wind direction. The installation position of the lidar 2 is as shown in Figure 2 ; To ensure the accuracy of the measured error, the test period shall not be less than 3 months. Synchronously collect the real-time data of the wind direction measured by the lidar 2 and the wind direction measured by the original wind vane 3 on the nacelle 1, with a sampling frequency of 1 Hz. Conduct statistical and correlation analysis on the data, and eliminate the following types of data: a) Data in the unconnected grid and shutdown states, b) Data in the yaw operation state, c) Data in rainy and foggy weather; Conduct statistical analysis on the data after elimination. The difference between the wind direction measured by the lidar 2 and the wind direction measured by the wind vane 3 is the yaw alignment error angle value. Conduct further statistical analysis on this error value to obtain a representative value. Figure 3 In the example, the yaw alignment error of the fan is -10°; The statistical analysis here uses common statistical analysis methods in mathematics such as normal distribution statistics, and it is easy to implement using data processing software such as Matlab.

[0083] (12) The steps to obtain the yaw alignment error angle value through data analysis of the background monitoring system include:

[0084] It should be noted that the power curve is the power generation characteristic curve of the fan, which is the relationship curve corresponding to wind speed and power. In the case where the unit is facing the wind, that is, when the yaw alignment error is 0, the unit absorbs the most energy, and the power curve at this time should be the optimal. In this embodiment, select the historical operation data of the wind turbine for 3 months, screen and clean the original data, and eliminate invalid data. Divide several data sets according to different yaw alignment deviation angle intervals. The data sets include operation data such as wind speed, power, pitch angle, and rotational speed, and fit the corresponding power curves respectively. The yaw alignment deviation angle interval corresponding to the optimal power curve is the actual yaw alignment error angle value, as shown in Figure 4 ; The yaw alignment error angle value corresponding to the optimal power curve is A.

[0085] (2) Convert the obtained yaw alignment deviation angle value into the corresponding correction current value i in the form of interpolation calculation according to the current / direction linear relationship. The calculation formula for the correction current value i is:

[0086]

[0087] In the formula, θ is the yaw alignment error angle value.

[0088] (3) Connect the electrical signal output by the wind vane to the yaw alignment deviation correction module. After calibration by the yaw alignment deviation correction module, the required current signal is output, so as to achieve error compensation and elimination.

[0089] The function definitions of the connection points of the wind vane 3 used in the wind field are shown in Table 1. The corresponding connection points of each functional terminal of the yaw wind alignment deviation correction module in the field with the wind vane and the PLC are shown in Table 2. The corresponding cable connections of the wind turbine are made according to the terminal relationships in the table. The installation of the yaw wind alignment deviation correction module is as Figure 6 shown.

[0090] Table 1

[0091] Serial number Cable color Function definition 1 White Power supply DC12V - 28V 2 Brown Power ground GND 3 Green Analog signal output 4 Yellow Analog signal output ground 5 Grey Heating DC / AC24V (maximum 20W) 6 Pink Heating DC / AC0V (maximum 20W) 7 Yellowish green Outer shield (protective grounding)

[0092] Table 2

[0093]

[0094]

[0095] The yaw wind alignment deviation correction module has a total of 6 terminals for wiring, namely ①③④⑤⑦⑧. Terminals ①③ on the module are for 24V power supply, ④⑤ are for the output of the corrected signal and are connected to the PLC, and ⑦⑧ are the signal input ports of the module and are connected to ③④ output by the wind vane.

[0096] (4) Connect the corrected current signal to the analog input module of the controller to achieve accurate wind alignment of the control system and correct the yaw wind alignment deviation.

[0097] (5) Analyze and verify the correction effect of the yaw wind alignment error.

[0098] In step (5), the steps for analyzing and verifying the correction effect of the yaw wind alignment error include:

[0099] Considering that the input I of the wind turbine is the incoming wind, if the parameter p i changes, it will affect the annual energy production AEP(I, p1, p2…, p n ). Suppose that after the yaw wind alignment deviation correction and optimization, the change in the wind alignment parameter dp1 causes the change in AEP to AEP′, then the change in annual energy production is ΔAEP = AEP′ - AEP. However, the actual situation is that the input I (incoming wind) changes randomly with time, and other parameters such as air density, wind direction change, wind shear, and turbulence also change with time. Therefore, when considering the change in AEP, in addition to considering dp1, the changes in I and other parameters must also be considered, otherwise the change in AEP caused by dp1 will be overwhelmed by the changes in other parameters. Therefore, when the changes in all its parameters and the incoming wind I are first-order small quantities, the comparison between adjacent units can be used to eliminate the influence of other parameters. Considering that both adjacent units receive the input I (incoming wind), compare the annual energy production AEP1(I, p1, p2…, p n),The generated electricity output AEP2 of the test unit (I, p1, p2…, p n ), The structures of these two system functions are the same, and all parameters are functions of time. The parameters are so close that the latter can be considered as the first-order approximation of the former. See formula (1):

[0100]

[0101] where dp i is the small difference in parameters between adjacent units, assumed to be constant.

[0102] After optimization, the change in the test unit AEP2 is shown in formula (2):

[0103]

[0104] where dp′ i is the parameter change caused by the optimization of the yaw alignment error; dp″ i is the parameter change over time.

[0105] Meanwhile, the output of the comparison unit also changes over time. Assume that the parameter changes of the comparison unit are the same as or only slightly deviate from those of the optimized test unit (second-order small quantity, ignored). See formula (3):

[0106]

[0107] Substitute formula (1) into formula (2) minus formula (3) and omit the second-order small quantity to obtain the increase in generated electricity ΔAEP. See formula (4):

[0108]

[0109] ΔAEP is the change in generated electricity brought about by the yaw correction of the generator set, which is used to analyze and verify the impact of the yaw alignment error correction on the generated electricity of the unit.

[0110] According to the standard, the calculation formula for the generated electricity AEP of the unit is:[[]]

[0111]

[0112] The generated power is the generated power calculated through the power curve and the wind frequency distribution. In formula (4), AEP2'-AEP1' is the difference between the generated power of the test unit after yaw optimization and that of the comparison unit, that is, the difference in the generated power of the test unit relative to the comparison unit after yaw optimization. AEP2 - AEP1 is the difference between the generated power of the test unit before yaw optimization and that of the comparison unit, that is, the difference in the generated power of the test unit relative to the comparison unit before yaw optimization. ΔAEP is the change value between the two. If ΔAEP is positive, it means the generated power has increased, and the larger the value, the more obvious the improvement in the generated power, indicating that the yaw correction has achieved the expected result. On the contrary, if ΔAEP is negative, it means the generated power has decreased, and the smaller the value, the more obvious the decrease in the generated power, indicating that the yaw correction has brought negative impacts and needs to be corrected again.

[0113] For the parts or structures not specifically described in the present invention, existing technologies or existing products can be adopted, and no further elaboration will be made here.

[0114] The above are only the embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structure or equivalent process transformation made by using the content of the specification of the present invention, or directly or indirectly applied in other related technical fields, shall be equally included in the patent protection scope of the present invention.

Claims

1. A method for correcting the yaw alignment error of a wind turbine based on the output signal calibration of a wind vane, characterized in that, The following steps are involved: (1) Obtain the yaw wind error angle value; (2) converting the acquired yaw wind deviation angle value into a corresponding electrical signal; (3) Correct the output electrical signal of the wind vane through the yaw wind deviation correction module, thereby achieving error compensation and elimination; (4) Connecting the compensated electrical signal to the analog input module of the controller to achieve the correction of yaw to wind deviation; (5) Analysis and verification of the correction effect of yaw to wind error; In step (2), the step of converting the acquired yaw to wind deviation angle value into a corresponding electrical signal includes: The obtained yaw deviation angle value to wind direction is converted into the corresponding correction current value i by interpolation calculation according to the current / direction linear relationship. The calculation formula of the correction current value i is: Where, θ is the yaw error angle to the wind; In step (5), the steps of analyzing and verifying the effect of yaw-to-wind error correction include: Assume that the inputs of two adjacent wind turbines in a wind farm are both the incoming wind I. Compare the annual energy production (AEP) of the reference turbine AEP1(I, p1, p2…, p n ), and the AEP of the test turbine AEP2(I, p1, p2…, p n ). The latter is the first-order approximation of the former, as shown in Equation (1): where dp i is the small difference in parameters between adjacent units, assumed to be a fixed value; After optimization, the change of AEP2 of the test unit is shown in formula (2): where dp′ i is the parameter variation caused by the yaw wind alignment error optimization work; dp″ i is the parameter variation with time; At the same time, the output of the comparison unit also changes over time. The change of the comparison unit is the same as that of the test unit or has only a small deviation, see formula (3): Substituting formula (1) into formula (2) and subtracting formula (3) and ignoring the second-order small quantity, we can obtain the power generation increase ΔAEP, see formula (4): ΔAEP is the change in power generation caused by the yaw correction of the generator set. It is used to analyze and verify the impact of yaw on wind error correction on the power generation of the unit. If ΔAEP is a positive value, it means that the power generation has increased. The larger the value, the more obvious the power generation improvement effect, and the yaw correction has achieved expectations. If ΔAEP is a negative value, it means that the power generation has decreased. The smaller the value, the more obvious the power generation decrease. It can be considered that the yaw correction has brought negative effects and needs to be re-corrected.

2. The method for correcting the yaw wind alignment error of a fan calibrated based on the output signal of a wind vane according to claim 1, wherein In step (1), the yaw error angle value to wind is obtained by laser radar wind measurement or background monitoring system data analysis.

3. The method for correcting the yaw wind alignment error of a fan calibrated based on the output signal of a wind vane according to claim 2, characterized in that The steps of obtaining the yaw-to-wind error angle value through lidar wind measurement include: First, install a laser radar on the top of the wind turbine nacelle. The wind measurement direction of the laser radar is in the same horizontal direction as the central axis of the nacelle. Synchronously collect real-time wind direction data measured by the laser radar and the wind vane on the nacelle. The test period is no less than 3 months. Analyze and process the data, eliminate invalid data, and perform statistical analysis on the eliminated data to obtain the yaw error angle value.

4. The method for correcting the yaw wind alignment error of a wind turbine calibrated based on the output signal of a wind vane according to claim 3, characterized in that, The invalid data include: a) data in the off-grid and shutdown states, b) data in the yaw action state, and c) data in rainy and foggy weather.

5. The method for correcting the wind turbine yaw alignment error based on the output signal calibration of the wind vane according to claim 2, characterized in that, The steps of obtaining the yaw-to-wind error angle value through the background monitoring system include: Select historical operating data of the wind turbine for at least one month, screen and clean the original data, and eliminate invalid data; divide several data sets according to different wind deviation angle intervals, and fit the corresponding power curves according to the operating data of the data sets. The wind deviation angle interval corresponding to the optimal power curve is the actual yaw wind error angle value.

6. The method for correcting the windward error of the fan yaw calibrated based on the output signal of the wind vane according to claim 1, characterized in that In step (3), the step of correcting the electrical signal output by the wind vane by using the yaw wind deviation correction module includes: Connect the electrical signal output by the wind vane to the yaw wind alignment deviation correction module. After being calibrated by the yaw wind alignment deviation correction module, the electrical signal outputs the required current signal, thereby achieving error compensation and elimination.

7. A wind turbine yaw alignment error correction system based on the calibration of the output signal of a wind vane, characterized in that, Perform correction according to the wind turbine yaw wind alignment error correction method calibrated based on the output signal of the wind vane as described in any one of claims 1-6. The system includes: A yaw error value acquisition module for acquiring the yaw wind alignment error angle value; An angle signal conversion module for converting the yaw wind alignment error angle value into the required electrical signal; A yaw wind alignment deviation correction module for correcting the electrical signal output by the wind vane; A controller, the controller includes a controller analog input module, and the controller analog input module analyzes and processes the corrected electrical signal to achieve the correction of the yaw wind alignment deviation; A verification module for analyzing and verifying the yaw wind alignment error correction effect; The yaw error value acquisition module, the angle signal conversion module, the yaw wind alignment deviation correction module, and the controller analog input module are electrically connected in sequence.

8. The wind turbine yaw wind alignment error correction system calibrated based on the output signal of the wind vane, characterized in that, The yaw error value acquisition module includes a lidar, a wind vane, and a calculation module. The lidar is installed on the top of the wind turbine nacelle. The wind measurement direction of the lidar is in the same horizontal direction as the central axis of the nacelle. The lidar is connected to the calculation module. The calculation module is used to collect the real-time data of the wind direction measured by the lidar and the wind vane on the nacelle and perform data processing to obtain the yaw wind alignment error angle value.

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