Method and device for determining load of wind turbine and electronic equipment
By adjusting the wind condition parameters of the wind turbine to simulate the angle of attack distribution range, the problem of large calculation volume of wind turbine load was solved, and the effect of rapid calculation of wind turbine load was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-31
- Publication Date
- 2026-03-27
AI Technical Summary
In existing technologies, wind turbine load calculations rely on time-domain simulation tools, resulting in a large amount of simulation computation, especially when simulating complex wind conditions, where the computational burden is too heavy.
By acquiring wind condition parameters of the wind turbine, including wind speed, wind shear, wind deflection, and yaw angle, these parameters are adjusted to simulate the angle of attack distribution range of the blade spanwise section. After the angle of attack distribution range covers the target distribution, the turbulent wind speed time series file under the same wind speed is simulated to calculate the blade load.
It enables rapid calculation of wind turbine loads without relying on turbulent wind, reducing computational load and simulation complexity.
Smart Images
Figure CN121744550A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of wind turbine technology, and in particular to a method, apparatus and electronic equipment for determining wind turbine load. Background Technology
[0002] During the design process of wind turbine blades, wind turbine load calculations are required. Currently, wind turbine load calculations rely on time-domain simulation tools, such as Bladed, which simulate complex wind conditions by inputting time-series files containing randomly fluctuating turbulent wind speeds to calculate wind turbine loads. However, the number of turbulent wind conditions is large, resulting in extremely high computational costs for simulation. Summary of the Invention
[0003] This application provides a method, apparatus, and electronic device for determining wind turbine loads, which reduces the computational load on wind turbines.
[0004] In a first aspect, embodiments of this application provide a method for determining wind turbine load, characterized in that the method includes:
[0005] Obtain wind condition parameters for the wind turbine; the wind condition parameters include the wind speed, wind shear, wind deflection, and yaw angle of the wind turbine.
[0006] The purpose of selecting wind shear, wind deflection, and yaw angle values is as follows: Adjusting the wind shear value changes the wind speed at various sections along the blade's span; adjusting the wind deflection value changes the angle of attack at various sections along the blade's span, primarily affecting the angle of attack range at the blade tip; adjusting the yaw angle value changes the impeller's induced velocity, mainly affecting the angle of attack range at the blade root, middle, and tip. As the wind shear, wind deflection, and yaw angle values increase, the distribution range of the angle of attack expands.
[0007] Using the aforementioned wind condition parameters as conditions, the wind turbine is simulated to generate electricity for a preset duration, and the range of angle of attack distribution of the blade spanwise section is obtained.
[0008] Determine whether the angle of attack distribution range covers the target distribution range;
[0009] If so, simulate n turbulent wind speed time series files under the same wind speed to obtain n blade loads; where n is a positive integer;
[0010] The average value of the loads on the n blades is taken as the load of the wind turbine.
[0011] Optionally, the method further includes:
[0012] If not, adjust at least one of the wind shear value, the wind deflection value, or the yaw angle value to update the wind condition parameters;
[0013] Using the updated wind condition parameters as conditions, the wind turbine is simulated to generate electricity for the preset duration, and the angle of attack distribution range of the blade spanwise section is re-acquired.
[0014] Repeat the above parameter adjustment steps and angle of attack distribution range steps until the obtained angle of attack distribution range covers the target distribution range.
[0015] Optionally, the method further includes:
[0016] By simulating the wind turbine's power generation operation for a preset period of time, a first reference value and a second reference value are obtained; the first reference value is the reference value of the maximum bending moment in the blade flapping direction, and the second reference value is the maximum bending moment in the blade oscillation direction.
[0017] The first simulation value is extracted from the n blade loads; the first simulation value is used to simulate the n turbulent wind speed time series files to obtain the simulation value of the maximum bending moment in the blade flapping direction;
[0018] Obtain the first load error value; the first load error value is the load error value between the first simulation value and the first reference value;
[0019] The step of taking the average value of the loads of the n blades as the wind turbine load includes:
[0020] If the first load error value is equal to the first preset error value, the average value of the loads of the n blades is taken as the load of the wind turbine.
[0021] Optionally, the method further includes:
[0022] A second reference value is obtained by simulating the wind turbine's power generation operation for a preset duration; the second reference value is the maximum bending moment in the blade oscillation direction.
[0023] The second simulation value is extracted from the n blade loads; the second simulation value is the simulation value of the maximum bending moment in the blade oscillation direction obtained by simulating the n turbulent wind speed time series files.
[0024] Obtain the second load error value; the second load error value is the load error between the second simulation value and the second reference value.
[0025] The step of taking the average value of the loads of the n blades as the wind turbine load includes:
[0026] If all of the second load error values are less than or equal to the second preset error value, the average value of the loads of the n blades shall be taken as the load of the wind turbine.
[0027] The step of adjusting at least one of the wind shear value, the wind deflection value, or the yaw angle value to update the wind condition parameters includes:
[0028] The wind condition parameters are updated by adjusting the wind shear value according to a first fixed step size and the wind deflection value according to a second fixed step size.
[0029] Optionally, the wind speed value of the wind turbine is the wind speed at which the wind turbine reaches its rated power output, the wind shear value is 0.2, the wind deflection value is 0° / m, and the yaw angle value is 0°.
[0030] Optionally, the target distribution range is from 0° to 20°.
[0031] Secondly, embodiments of this application provide a device for determining wind turbine loads, the device comprising:
[0032] The acquisition unit is used to acquire wind condition parameters of the wind turbine; the wind condition parameters include the wind speed value, wind shear value, wind deflection value and yaw angle value of the wind turbine.
[0033] The first simulation unit is used to simulate the power generation operation of the wind turbine for a preset duration based on the wind condition parameters, and to obtain the range of the angle of attack distribution of the blade spanwise section.
[0034] The judgment unit is used to determine whether the angle of attack distribution range covers the target distribution range;
[0035] The second simulation unit is used to adjust at least one of the wind shear value, the wind deflection value, or the yaw angle value to update the wind condition parameters.
[0036] A determining unit is used to take the average value of the loads of the n blades as the load of the wind turbine.
[0037] Optionally, the device further includes:
[0038] The updating unit is used to, if not, adjust at least one of the wind shear value, the wind deflection value, or the yaw angle value to update the wind condition parameters;
[0039] The first simulation unit is further configured to: simulate the power generation operation of the wind turbine for the preset duration using the updated wind condition parameters as conditions, and re-acquire the angle of attack distribution range of the blade spanwise section; repeat the above parameter adjustment steps and angle of attack distribution range steps until the acquired angle of attack distribution range covers the target distribution range.
[0040] Thirdly, embodiments of this application provide an electronic device, including:
[0041] Memory, used to store computer programs;
[0042] A processor for executing the computer program to implement the method as described in any one of the second aspects.
[0043] Fourthly, embodiments of this application provide a computer program that, when run on a computer, causes the computer to perform the method in any of the possible implementations of the second aspect described above.
[0044] Fifthly, embodiments of this application provide a computer-readable storage medium storing a computer program (also referred to as code or instructions) that, when run on a computer, causes the computer to perform the method in any of the possible implementations of the second aspect described above.
[0045] Sixthly, embodiments of this application provide a chip system including one or more processors for calling and executing instructions stored in memory, causing the methods in any of the above aspects or possible implementations to be executed. The chip system may be composed of chips or may include chips and other discrete devices.
[0046] This application provides a method, apparatus, electronic device, and program for determining wind turbine loads. The method involves: acquiring wind condition parameters of the wind turbine; these parameters include wind speed, wind shear, wind deflection, and yaw angle; under these wind condition conditions, simulating the wind turbine's power generation operation for a preset duration to obtain the angle of attack distribution range of the blade spanwise cross section; determining whether the angle of attack distribution range covers the target distribution range; if so, simulating n turbulent wind speed time series files at the same wind speed to obtain n blade loads; where n is a positive integer; and using the average of the n blade loads as the wind turbine load. Thus, this application embodiment can acquire wind condition parameters, calculate the angle of attack distribution range of the blade spanwise cross section under these parameters, and, when the angle of attack distribution range covers the target distribution range, simulate turbulent wind speed time series files at the same wind speed, achieving rapid load calculation without relying on turbulent wind. Attached Figure Description
[0047] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0048] Figure 1 A flowchart illustrating a method for determining wind turbine load, provided in an embodiment of this application;
[0049] Figure 2 This application provides a device for determining the load of a wind turbine. Detailed Implementation
[0050] To enable those skilled in the art to better understand the present application, the technical solutions in this embodiment will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0051] As mentioned earlier, using time-domain simulation tools to simulate complex wind conditions from time-series files of randomly fluctuating turbulent wind speeds to calculate wind turbine loads presents the problem of large simulation computational load.
[0052] To address the aforementioned issues, this application provides a method for determining wind turbine loads. This method involves acquiring wind condition parameters, calculating the range of angle of attack distribution of the blade spanwise cross section under these parameters, and simulating the turbulent wind speed time series file under the same wind speed after the angle of attack distribution range covers the target distribution range. This enables rapid load calculation without relying on turbulent wind.
[0053] To enable those skilled in the art to better understand this application, the following description is provided in conjunction with the accompanying drawings.
[0054] Appendix Figure 1 A flowchart illustrating a method for determining wind turbine load, provided in this application embodiment, is shown. The method specifically includes the following steps:
[0055] S10: Obtain wind condition parameters for the wind turbine.
[0056] The wind condition parameters of a wind turbine are used to describe the wind conditions of the wind turbine. In the embodiments of this application, the wind condition parameters of a wind turbine include the wind speed value, wind shear value, wind deflection value, and yaw angle value.
[0057] The wind speed value V represents the wind speed at the hub height under steady-state conditions. The wind shear value α represents the magnitude change of wind speed over horizontal and / or vertical distances, and the deflection value β represents the angular change of wind direction over horizontal and / or vertical distances. The yaw angle θ is the angle between the rotor's plane of rotation and the wind direction.
[0058] In practical implementation, the wind speed value is Vr, which represents the wind speed when the wind turbine reaches its rated power output. This wind speed value is related to the wind turbine's design power and rotor diameter. For flat terrain design conditions, the wind shear value is 0.2. This wind shear value corresponds to the wind profile under neutral atmospheric stability; in actual use, the wind shear value can be adjusted as needed. The wind deflection value is 0° / m, with no deflection by default; in actual use, it can be adjusted according to the actual terrain. The yaw angle value is 0° by default, with the unit completely facing the wind.
[0059] In this embodiment, the purpose of selecting wind shear, wind deflection, and yaw angle values is as follows: adjusting the wind shear value can change the wind speed values at various cross-sections along the blade span; adjusting the wind deflection value can change the angle of attack values at various cross-sections along the blade span; these two values mainly affect the angle of attack range at the blade tip; adjusting the yaw angle value can change the induced velocity of the impeller, mainly affecting the angle of attack range at the blade root, middle, and tip. When the wind shear, wind deflection, and yaw angle values increase, the distribution range of the angle of attack expands.
[0060] S20, using the wind condition parameters as conditions, simulate the wind turbine's power generation operation for a preset duration to obtain the range of angle of attack distribution of the blade spanwise section.
[0061] For example, a time-domain simulation tool can be used to simulate the power generation operation of a wind turbine for a preset duration. The time-domain simulation tool can be Bladed.
[0062] In this embodiment, wind condition parameters can be input into a time-domain simulation tool to simulate the wind turbine's power generation operation for a preset duration, thereby obtaining the range of angle of attack distribution of the blade spanwise cross section. The preset duration is a power generation duration set by those skilled in the art as needed, for example, a preset duration of 600 seconds.
[0063] The blade spanwise direction refers to the radial direction of the blade from the blade root to the blade tip. The blade spanwise section refers to the two-dimensional cross-section taken at different radial positions along this radial direction. The blade spanwise angle of attack is the angle between the airflow direction line relative to the blade and the chord line of the blade spanwise section (the line connecting the leading and trailing edges), which directly determines the airflow state of the blade spanwise section. The range of blade spanwise angle of attack distribution refers to the range of values for the angle of attack of all spanwise sections from the blade root to the blade tip.
[0064] In practical implementation, V=Vr, α=0.2, β=0° / m, θ=0° are input into Bladed. Under the parameter conditions of V=Vr, α=0.2, β=0° / m, θ=0°, Bladed can simulate the operation of a wind turbine for 600 seconds to obtain the range of angle of attack distribution of the blade spanwise section.
[0065] S30, determine whether the angle of attack distribution range covers the target distribution range.
[0066] The target distribution range refers to the target angle of attack range that the blades may encounter during operation. In practice, the target distribution range is from 0° to 20°.
[0067] It should be noted that the target distribution range can include 0° and 20°.
[0068] S40, if so, simulate n turbulent wind speed time series files under the same wind speed to obtain n blade loads; where n is a positive integer.
[0069] In this embodiment of the application, when the range of angle of attack distribution is found to be greater than the target range through simulation, that is, the current blade spanwise section completely covers the target range of angle of attack, time-domain simulation tools can be used to simulate n turbulent wind speed time series files under the same wind speed, and calculate the load of n blades of the wind turbine under the same wind speed.
[0070] S50 uses the average value of the loads on n blades as the wind turbine load.
[0071] Optionally, if the angle-of-attack distribution range does not cover the target distribution range, i.e., the current blade spanwise section does not completely cover the target angle-of-attack interval, the wind condition parameters can be adjusted. Specifically, at least one of the wind shear value, wind deflection value, or yaw angle value can be adjusted to update the wind condition parameters.
[0072] Then, using the updated wind condition parameters, the wind turbine is simulated to generate electricity for the preset duration, and S20 is executed again. The angle of attack distribution range of the blade spanwise section is obtained again by simulating the wind turbine's power generation operation for the preset duration. By repeating the above parameter adjustment steps and angle of attack distribution range steps, until the obtained angle of attack distribution range covers the target distribution range, S40 is executed.
[0073] It should be noted that adjusting at least one of the wind shear value, the wind deflection value, or the yaw angle value includes one of the following: adjusting only the wind shear value, adjusting only the deflection value, or adjusting only the yaw angle value; adjusting any two of the wind shear value, the wind deflection value, and the yaw angle value; or adjusting the wind shear value, the wind deflection value, and the yaw angle value simultaneously. For example, the wind shear value increases by 0.15 each time, the wind deflection value β increases by 1.3° / m each time, or the yaw angle value increases by 1.5° / m each time.
[0074] In one specific implementation, at least one of the wind shear value, wind deflection value, or yaw angle value can be adjusted according to a fixed step size. For example, the wind shear value is adjusted according to a first fixed step size, and the wind deflection value is adjusted according to a second fixed step size to update the wind condition parameters. The first and second fixed step sizes can be adjusted as needed. For example, the wind shear value α can be increased by 0.1, and the wind deflection value β can be increased by 1° / m to update the wind condition parameters; that is, the first fixed step size is 0.1, and the second fixed step size is 1° / m.
[0075] In some examples, in embodiments of this application, by using a time-domain simulation tool under the stated wind conditions, and simulating the wind turbine's power generation operation for a preset duration, the distribution range of the angle of attack of the blade spanwise section is obtained, along with a first reference value. This first reference value is a reference value for the maximum bending moment in the blade flapping direction. A first simulation value is extracted from n blade loads. This first simulation value is the simulated value of the maximum bending moment in the blade flapping direction obtained by simulating n turbulent wind speed time-series files using a time-domain simulation tool.
[0076] Then, the first load error value is obtained. The first load error value is the load error between the first simulated value and the first reference value. For example, the first load error value = |first simulated value - first reference value| / first reference value. If the first load error value is less than or equal to the first preset error value, the result is determined to be equivalent, and the average value of the loads of the n blades is taken as the wind turbine load.
[0077] The first preset error value is a load error value set by those skilled in the art as needed, for example, the first preset error value is 3%.
[0078] Furthermore, if the first load error value is greater than the first preset error value, the determination result is invalid, and the operation of S10 is repeated.
[0079] In some examples, specifically in embodiments of this application, by using a time-domain simulation tool under the stated wind conditions, and simulating the wind turbine's power generation operation for a preset duration, the distribution range of the blade spanwise angle of attack is obtained, along with a second reference value. This second reference value is a reference value for the maximum bending moment in the blade flapping direction. The second simulation value is extracted from n blade loads. Specifically, the simulation value of the maximum bending moment in the blade flapping direction is obtained by simulating the n turbulent wind speed time series files using the time-domain simulation tool.
[0080] Then, the second load error value is obtained. This second load error value is the load error between the second simulated value and the second reference value. For example, the second load error value = |second simulated value - second reference value| / second reference value. If the second load error value is less than or equal to the second preset error value, the result is considered equivalent, and the average value of the loads on the n blades is taken as the wind turbine load.
[0081] Furthermore, if the second load error value is greater than the second preset error value, the determination result is invalid, and the operation of S10 is repeated.
[0082] Furthermore, in this embodiment, the result is determined to be valid only if the first load error value is less than or equal to the first preset error value and the second load error value is less than or equal to the second preset error value, and the average value of the n blade loads is taken as the wind turbine load. If both the first load error value and the second load error value are greater than the preset error value, the result is determined to be invalid, and S10 is executed again.
[0083] The application provides a method for determining the load of a wind turbine. This method obtains wind condition parameters, calculates the range of angle of attack distribution of the blade spanwise section under these wind condition parameters, and simulates the turbulent wind speed time series file under the same wind speed when the angle of attack distribution range covers the target distribution range, thereby realizing the rapid calculation of the load without relying on turbulent wind.
[0084] To implement the above-mentioned method for determining wind turbine load, this application also provides a device for determining wind turbine load.
[0085] Appendix Figure 2 This application provides a device for determining the load of a wind turbine. For example... Figure 2 As shown, the device 200 includes:
[0086] The acquisition unit 201 is used to acquire wind condition parameters of the wind turbine; the wind condition parameters include the wind speed value, wind shear value, wind deflection value and yaw angle value of the wind turbine.
[0087] The first simulation unit 202 is used to obtain the angle of attack distribution range of the blade spanwise section by simulating the power generation operation of the wind turbine for a preset time under the wind condition parameters.
[0088] The judgment unit 203 is used to determine whether the angle of attack distribution range covers the target distribution range;
[0089] The second simulation unit 204 is used to simulate n turbulent wind speed time series files under the same wind speed to obtain n blade loads; where n is a positive integer.
[0090] The determining unit 205 is used to take the average value of the loads of the n blades as the load of the wind turbine.
[0091] In one specific implementation, the device further includes: an updating unit, configured to, if not, adjust at least one of the wind shear value, the wind deflection value, or the yaw angle value to update the wind condition parameters;
[0092] The first simulation unit 202 is further configured to: re-obtain the angle of attack distribution range of the blade spanwise section by simulating the power generation operation of the wind turbine for the preset duration using updated wind condition parameters;
[0093] Repeat the above parameter adjustment steps and angle of attack distribution range steps until the obtained angle of attack distribution range covers the target distribution range.
[0094] Optionally, the device 200 further includes a verification unit, which is specifically used for:
[0095] A first reference value is obtained by simulating the wind turbine's power generation operation for a preset period of time; the first reference value is a reference value for the maximum bending moment in the blade flapping direction;
[0096] The first simulation value is extracted from the n blade loads; the first simulation value is the simulation value of the maximum bending moment in the blade flapping direction obtained by simulating the n turbulent wind speed time series files using the time domain simulation tool.
[0097] Obtain the first load error value; the first load error value is the load error value between the first simulation value and the first reference value;
[0098] The step of taking the average value of the loads of the n blades as the wind turbine load includes:
[0099] If the first load error value is equal to or less than the first preset error value, the average value of the loads of the n blades is taken as the load of the wind turbine.
[0100] Optionally, the verification unit is also used for:
[0101] A second reference value is obtained by simulating the wind turbine's power generation operation for a preset period of time; the second reference value is a reference value for the maximum bending moment in the blade oscillation direction.
[0102] The second simulation value is extracted from the n blade loads; the second simulation value is the simulation value of the maximum bending moment in the blade oscillation direction obtained by simulating the n turbulent wind speed time series files using the time domain simulation tool.
[0103] Obtain the second load error value; the second load error value is the load error between the second simulation value and the second reference value.
[0104] The step of taking the average value of the loads of the n blades as the wind turbine load includes:
[0105] If all of the second load error values are less than or equal to the second preset error value, the average value of the loads of the n blades shall be taken as the load of the wind turbine.
[0106] Optionally, the wind speed value of the wind turbine is the wind speed at which the wind turbine reaches its rated power output, the wind shear value is 0.2, the wind deflection value is 0° / m, and the yaw angle value is 0°.
[0107] Optionally, the target distribution range is from 0° to 20°.
[0108] The application provides a device for determining the load of a wind turbine. This device can acquire wind condition parameters, calculate the angle of attack distribution range of the blade spanwise section under these wind condition parameters, and simulate the turbulent wind speed time series file under the same wind speed when the angle of attack distribution range covers the target distribution range, thereby realizing the rapid calculation of load without relying on turbulent wind.
[0109] According to the method provided in the embodiments of this application, this application also provides a chip system, which includes one or more processors for calling and executing instructions stored in memory, thereby causing the method described in the embodiments of this application to be executed. The chip system may be composed of chips or may include chips and other discrete devices.
[0110] The chip system may include input circuits or interfaces for transmitting information or data, and output circuits or interfaces for receiving information or data.
[0111] According to the method provided in the embodiments of this application, this application also provides a computer program product, which includes: computer program code, which, when run on a computer, causes the computer to execute the various steps or processes executed by the network device or terminal device in any of the foregoing method embodiments.
[0112] According to the method provided in the embodiments of this application, this application also provides a computer-readable storage medium storing program code, which, when run on a computer, causes the computer to execute the various steps or processes executed by the network device or terminal device in any of the foregoing method embodiments.
[0113] The computer-readable storage medium may be the aforementioned volatile memory or non-volatile memory, or it may include both volatile memory and non-volatile memory.
[0114] In the embodiments of this application, the terms and English abbreviations are exemplary examples given for ease of description and should not be construed as limiting the application in any way. This application does not preclude the possibility of defining other terms that can achieve the same or similar functions in existing or future agreements.
[0115] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When these computer instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated.
[0116] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
Claims
1. A method for determining the load of a wind turbine, characterized in that, The method includes: Obtain wind condition parameters for the wind turbine; the wind condition parameters include the wind speed, wind shear, wind deflection, and yaw angle of the wind turbine. Using the aforementioned wind condition parameters as conditions, the wind turbine is simulated to generate electricity for a preset duration, and the range of angle of attack distribution of the blade spanwise section is obtained. Determine whether the angle of attack distribution range covers the target distribution range; If so, simulate n turbulent wind speed time series files under the same wind speed to obtain n blade loads; where n is a positive integer; The average value of the loads on the n blades is taken as the load of the wind turbine.
2. The method according to claim 1, characterized in that, The method further includes: If not, adjust at least one of the wind shear value, the wind deflection value, or the yaw angle value to update the wind condition parameters; Using the updated wind condition parameters as conditions, the wind turbine is simulated to generate electricity for the preset duration, and the angle of attack distribution range of the blade spanwise section is re-acquired. Repeat the above parameter adjustment steps and angle of attack distribution range steps until the obtained angle of attack distribution range covers the target distribution range.
3. The method according to claim 1 or 2, characterized in that, The method further includes: A first reference value is obtained by simulating the wind turbine's power generation operation for a preset period of time; the first reference value is a reference value for the maximum bending moment in the blade flapping direction; The first simulation value is extracted from the n blade loads; the first simulation value is the simulation value of the maximum bending moment in the blade flapping direction obtained by simulating the n turbulent wind speed time series files. Obtain the first load error value; the first load error value is the load error value between the first simulation value and the first reference value; The step of taking the average value of the loads of the n blades as the wind turbine load includes: If the first load error value is equal to or less than the first preset error value, the average value of the loads of the n blades is taken as the load of the wind turbine.
4. The method according to claim 1 or 2, characterized in that, The method further includes: A second reference value is obtained by simulating the wind turbine's power generation operation for a preset period of time; the second reference value is a reference value for the maximum bending moment in the blade oscillation direction. The second simulation value is extracted from the n blade loads; the second simulation value is the simulation value of the maximum bending moment in the blade oscillation direction obtained by simulating the n turbulent wind speed time series files. Obtain the second load error value; the second load error value is the load error between the second simulation value and the second reference value. The step of taking the average value of the loads of the n blades as the wind turbine load includes: If all of the second load error values are less than or equal to the second preset error value, the average value of the loads of the n blades shall be taken as the load of the wind turbine.
5. The method according to claim 2, characterized in that, The step of adjusting at least one of the wind shear value, the wind deflection value, or the yaw angle value to update the wind condition parameters includes: The wind condition parameters are updated by adjusting the wind shear value according to a first fixed step size and the wind deflection value according to a second fixed step size.
6. The method according to claim 1, characterized in that, The wind speed value of the wind turbine is the wind speed at which the wind turbine reaches its rated power output, the wind shear value is 0.2, the wind deflection value is 0° / m, and the yaw angle value is 0°.
7. The method according to claim 1, characterized in that, The target distribution range is from 0° to 20°.
8. A device for determining the load of a wind turbine, characterized in that, The device includes: The acquisition unit is used to acquire wind condition parameters of the wind turbine; the wind condition parameters include the wind speed value, wind shear value, wind deflection value and yaw angle value of the wind turbine. The first simulation unit is used to simulate the power generation operation of the wind turbine for a preset duration based on the wind condition parameters, and to obtain the range of the angle of attack distribution of the blade spanwise section. The judgment unit is used to determine whether the angle of attack distribution range covers the target distribution range; The second simulation unit is used to simulate n turbulent wind speed time series files under the same wind speed to obtain n blade loads; where n is a positive integer. A determining unit is used to take the average value of the loads of the n blades as the load of the wind turbine.
9. The apparatus according to claim 8, characterized in that, The device further includes: The updating unit is used to, if not, adjust at least one of the wind shear value, the wind deflection value, or the yaw angle value to update the wind condition parameters; The first simulation unit is also used to: simulate the power generation operation of the wind turbine for the preset duration based on the updated wind condition parameters, and re-acquire the angle of attack distribution range of the blade spanwise section; Repeat the above parameter adjustment steps and angle of attack distribution range steps until the obtained angle of attack distribution range covers the target distribution range.
10. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor for executing the computer program to implement the method according to any one of claims 1 to 7.