Method, device and equipment for correcting wind data of wind turbine generator system and medium

Abstract

The application discloses a wind turbine wind parameter data correction method, device, equipment and medium, comprising: simulating multiple working conditions according to basic parameter information of a wind turbine, determining first simulation wind parameter data of a free flow position and second simulation wind parameter data of a target position point under each working condition based on simulation results, and determining a first correction parameter based on the first simulation wind parameter data and the second simulation wind parameter data. First actual wind parameter data of the free flow position and second actual wind parameter data of the target position point under each working condition are obtained, and a second correction parameter is determined. The first correction parameter is corrected based on the second correction parameter to determine a corrected first correction parameter. The wind parameter data under the target working condition is corrected according to the corrected first correction parameter. That is, the correction parameter obtained according to the actual running working condition is used to correct the simulation obtained correction parameter, so that the wind parameter data obtained according to the correction parameter is more accurate subsequently.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of wind power generation, and in particular to a wind turbine wind parameter data correction method, device, equipment and medium. BACKGROUND

[0002] A wind turbine is a power generation device that converts wind energy into mechanical work, and the mechanical work drives the rotor to rotate to ultimately output alternating current. In order to improve the power generation of the wind turbine and reduce the failure rate to improve the service life of the wind turbine, wind resource assessment, load assessment, etc. can be performed based on wind parameter data in the early stage of wind farm construction.

[0003] At present, fluid simulation software is mainly used to simulate atmospheric flow field, and the flow field range covered is relatively wide. The accuracy of the simulation result is strongly dependent on the applicability of the fluid simulation software to the scene, resulting in a large difference between the wind parameters obtained by simulation and the actual wind parameters on site, which affects the accuracy of the wind parameter data inferred from the simulation results. SUMMARY

[0004] Therefore, the present application provides a wind turbine wind parameter data correction method, device, equipment and medium, so as to determine the correction method of the wind parameter data, and more accurate wind parameter data can be obtained.

[0005] In a first aspect, the present application provides a wind turbine wind parameter data correction method, which comprises:

[0006] Simulating a plurality of working conditions of a wind turbine based on basic parameter information of the wind turbine;

[0007] Determining first simulation wind parameter data of a free flow position and second simulation wind parameter data of a target position point of the wind turbine under each working condition based on the simulation results, and determining a first correction parameter based on the first simulation wind parameter data and the second simulation wind parameter data;

[0008] Obtaining first actual wind parameter data of the free flow position and second actual wind parameter data of the target position point under the each working condition, and determining a second correction parameter based on the first actual wind parameter data and the second actual wind parameter data;

[0009] Correcting the first correction parameter based on the second correction parameter to determine a corrected first correction parameter;

[0010] Correcting wind parameter data under a target working condition based on the corrected first correction parameter.

[0011] In one possible implementation, the correcting wind parameter data under the target working condition based on the corrected first correction parameter comprises:

[0012] obtaining wind parameter data corresponding to a target position point of a target wind turbine when the target wind turbine operates in a target working condition;

[0013] determining a target simulation working condition corresponding to the target working condition, and determining a correction parameter corresponding to the target simulation working condition;

[0014] determining wind parameter data of a free flow position based on the correction parameter and the wind parameter data, so as to perform load evaluation according to the wind parameter data of the free flow position.

[0015] In a possible implementation, the simulation conditions corresponding to the working conditions include one or more of the following:

[0016] working condition configuration: at least one of simulation wind speed, impeller rotating speed, pitch angle, impeller azimuth angle, wind-approaching angle, and inflow angle;

[0017] measurement point configuration: preset position coordinates of an anemometer and a wind vane;

[0018] boundary condition: at least one of velocity inlet condition, pressure outlet condition, and wall boundary condition;

[0019] blade working condition configuration: when the blade rotates, a virtual disk model VDM is configured to simulate the blade; when the blade is static, a no-slip solid boundary condition is configured.

[0020] In a possible implementation, before determining the first simulation wind parameter data of the free flow position of the wind turbine under each working condition, the method further includes:

[0021] verifying validity of a simulation result;

[0022] The verifying of the validity of the simulation result includes one or more of the following:

[0023] obtaining wake velocity of the wind turbine in simulation output, and determining that the simulation result is valid when the wake velocity is greater than a first preset proportion of inlet wind speed; or,

[0024] obtaining wake turbulence of the wind turbine in simulation output, and determining that the simulation result is valid when the wake turbulence is less than a second preset proportion of free flow turbulence; or,

[0025] obtaining wind speeds at multiple positions before and after the impeller in simulation output, and determining that the simulation result is valid when a change trend of the multiple wind speeds meets a requirement.

[0026] In a possible implementation, the method further includes:

[0027] The correlation data table is established based on the first simulation wind parameter data and the second simulation wind parameter data under the respective working conditions.

[0028] In a possible implementation, the method further includes:

[0029] The first correction parameter table is established based on the first correction parameter under the respective working conditions.

[0030] The second correction parameter table is established based on the second correction parameter under the respective working conditions.

[0031] The first correction parameter is corrected based on the second correction parameter to determine the corrected first correction parameter, including:

[0032] The first correction parameter table is corrected based on the second correction parameter table to determine the corrected first correction parameter table.

[0033] In a possible implementation, the first correction parameter table is corrected based on the second correction parameter table to determine the corrected first correction parameter table, including:

[0034] The correction relationship model is established based on the first correction parameter table and the second correction parameter table.

[0035] The first correction parameter table is corrected based on the correction relationship model to determine the corrected first correction parameter table.

[0036] In a possible implementation, the first wind parameter data includes at least one of a wind speed, a wind direction, and a turbulence intensity.

[0037] In a possible implementation, the target position point includes at least one of an anemograph, a wind vane, and an ultrasonic wind sensor.

[0038] The free flow position includes a 2.5D position before a blade.

[0039] In a second aspect, the present application provides a wind parameter data correction device for a wind turbine generator, including:

[0040] A simulation unit is configured to simulate a plurality of working conditions of a wind turbine generator based on basic parameter information of the wind turbine generator.

[0041] A first determination unit is configured to determine first simulation wind parameter data of a free flow position and second simulation wind parameter data of a target position point of the wind turbine generator under respective working conditions based on simulation results, and determine a first correction parameter based on the first simulation wind parameter data and the second simulation wind parameter data.

[0042] a second determining unit, configured to acquire first actual wind parameter data of the free flow position and second actual wind parameter data of the target position point in each working condition, and determine a second correction parameter based on the first actual wind parameter data and the second actual wind parameter data;

[0043] a first correcting unit, configured to correct the first correction parameter based on the second correction parameter, and determine a corrected first correction parameter;

[0044] a second correcting unit, configured to correct wind parameter data in a target working condition based on the corrected first correction parameter.

[0045] In a third aspect, the present application provides a wind turbine wind parameter data correction device, the device comprising: a memory and a processor;

[0046] the memory is configured to store relevant program codes;

[0047] the processor is configured to call the program codes and execute the wind turbine wind parameter data correction method according to any one of the implementation manners of the first aspect.

[0048] In a fourth aspect, the present application provides a computer readable storage medium, the computer readable storage medium is configured to store a computer program, and the computer program is configured to execute the wind turbine wind parameter data correction method according to any one of the implementation manners of the first aspect.

[0049] Therefore, the present application has the following beneficial effects:

[0050] In the implementation manners of the present application, the multiple working conditions of the wind turbine generator set can be simulated according to the basic parameter information of the wind turbine generator set, the first simulation wind parameter data of the free flow position and the second simulation wind parameter data of the target position point corresponding to each working condition of the wind turbine generator set are determined based on the simulation results, and the first correction parameter is determined based on the first simulation wind parameter data and the second simulation wind parameter data. Then, the first actual wind parameter data of the free flow position and the second actual wind parameter data of the target position point of the wind turbine generator set in each working condition are obtained, that is, the first actual wind parameter data and the second actual wind parameter data corresponding to the actual operation of the wind turbine generator set in each working condition, and the second correction parameter is determined based on the first actual wind parameter data and the second actual wind parameter data. The first correction parameter is corrected based on the second correction parameter to determine the corrected first correction parameter. Thus, the wind parameter data in the target working condition can be corrected according to the corrected first correction parameter. Through the method provided in the present application, the wind turbine generator set can be simulated, the correction parameter of the corrected wind parameter data is obtained, and the correction parameter of the simulation can be corrected according to the actual working condition. In order to obtain more accurate wind parameter data according to the correction parameter in subsequent actual application. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments provided in the present application, and other drawings can also be obtained by those skilled in the art according to these drawings.

[0052] Figure 1 A flow chart of a wind turbine generator set wind parameter data correction method provided in an embodiment of the present application;

[0053] Figure 2 A grid distribution diagram of a wall boundary layer provided in an embodiment of the present application;

[0054] Figure 3 A schematic diagram of grid division of an impeller and a nacelle provided in an embodiment of the present application;

[0055] Figure 4 A schematic diagram of a wind turbine generator set target position point provided in an embodiment of the present application;

[0056] Figure 5 A schematic diagram of the turbulence intensity of an anemometer provided in an embodiment of the present application;

[0057] Figure 6 A schematic diagram of a wind turbine generator set wind parameter data correction system provided in an embodiment of the present application;

[0058] Figure 7 FIG. 1 is a schematic diagram of a wind turbine wind parameter data correction device according to an embodiment of the present application. DETAILED DESCRIPTION

[0059] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. The described embodiments are only exemplary implementations of the present application, and are not all implementations. Those skilled in the art can obtain other embodiments without creative effort based on the embodiments of the present application, and these embodiments are also within the protection scope of the present application.

[0060] At present, fluid simulation software is mainly used to simulate atmospheric flow field. The flow field range covered is relatively wide, and the accuracy of the simulation result depends on the applicability of the fluid simulation software to the scene, which leads to a large difference between the wind parameters obtained by simulation and the actual wind parameters on site, and affects the accuracy of the wind parameter data inferred from the simulation result.

[0061] Therefore, the embodiments of the present application provide a wind turbine wind parameter data correction method to improve the accuracy of obtaining wind parameter data. In specific implementation, a plurality of working conditions of the wind turbine can be simulated according to basic parameter information of the wind turbine, which can include model, blade model, rack model, etc. First simulation wind parameter data of a free flow position and second simulation wind parameter data of a target position point corresponding to each working condition of the wind turbine can be determined based on the simulation result, and a first correction parameter can be determined based on the first simulation wind parameter data and the second simulation wind parameter data. Then, first actual wind parameter data of the free flow position and second actual wind parameter data of the target position point under each working condition of the wind turbine can be obtained, i.e., the first actual wind parameter data and the second actual wind parameter data corresponding to the actual operation of the wind turbine under each working condition, and a second correction parameter can be determined based on the first actual wind parameter data and the second actual wind parameter data. The first correction parameter can be corrected based on the second correction parameter to determine a corrected first correction parameter. Thus, the wind parameter data under the target working condition can be corrected according to the corrected first correction parameter.

[0062] In an actual wind farm, when load evaluation is performed on a wind turbine generator set, wind parameter data at a free flow position of the wind turbine generator set needs to be used. However, the wind parameter data at the free flow position cannot be directly measured, and therefore needs to be calculated according to wind parameter data at a target position point and a correction parameter. The correction parameter is used to calculate the wind parameter data at the free flow position according to the wind parameter data at the target position point. Through the method provided in the present application, the correction parameter of the corrected wind parameter data can be obtained by simulating the wind turbine generator set, and the simulation obtained correction parameter can be corrected according to the correction parameter obtained according to the actual operation condition. In order to make the wind parameter data obtained according to the correction parameter more accurate in subsequent actual application.

[0063] In order to facilitate understanding of the technical solutions provided in the embodiments of the present application, specific descriptions will be made below in combination with the drawings.

[0064] Referring to Figure 1 , Figure 1 A flowchart of a wind parameter data correction method for a wind turbine generator set provided in the embodiments of the present application.

[0065] It can be understood that the method can be applied to a processing device, which is a device capable of data analysis and processing, for example, a controller of a wind turbine generator set, and can also be other devices capable of analysis and processing, such as a terminal device or a server.

[0066] When applied to the controller of the wind turbine generator set, the controller can obtain wind profile data of the wind turbine generator set, and process the obtained data to realize classification of the wind profile, so as to adaptively evaluate the wind turbine generator set based on the type of the wind profile.

[0067] When applied to the terminal device or the server, it can be independently executed by the terminal device or the server, or can be applied to a network scenario of communication between the terminal device and the server, and executed by cooperation between the terminal device and the server. The terminal device can be a desktop computer, a notebook computer, a handheld terminal and the like. The server can be understood as an application server, and can also be a Web server. In actual deployment, the server can be a standalone server, or a cluster server.

[0068] The method can include the following steps:

[0069] S101: Simulate multiple working conditions of a wind turbine generator set based on basic parameter information of the wind turbine generator set.

[0070] The embodiment of the present application can simulate the wind turbine generator set, and can make the simulation result more accurate. Different types of wind turbine generator sets correspond to different basic parameter information, for example, model, blade model, rack model, head model, generator model, etc. The basic parameter information of the wind turbine generator set can be obtained, and the wind turbine generator set is simulated according to the basic parameter information. The same type of wind turbine generator set can be determined according to the basic parameter information, and the same simulation condition can be used for the wind turbine generator set of the same type.

[0071] The operation wind parameter data of the wind turbine generator set is affected by the working condition, so multiple working conditions can be configured during simulation to simulate multiple working conditions of the wind turbine generator set. For example, different working conditions can be configured by configuring different rotating speeds, pitch angles, wind speeds, etc.

[0072] In a possible implementation, the wind turbine generator set can be simulated by using fluid simulation analysis software. For example, the Star CCM+ fluid simulation software can be used. The simulation process can include steps such as geometry modeling, mesh division, simulation condition configuration, etc.

[0073] Geometry modeling is to model the appearance model of the wind turbine generator set cabin, hub, blade and other components. During geometry modeling, burr and sharp corner parts can be filtered out for smooth transition, and gap filling and smoothing treatment can be performed to prevent the simulation calculation result from not converging. Alternatively, to facilitate simulation calculation, the impeller part can also be simplified based on the Blade Element Theory (BEM). The simplified part includes external heat sinks, wind measurement supports, etc. Since the heat sinks are arranged in a tubular manner, the heat sinks are equivalent to a porous medium domain during configuration of the simulation model. The porosity and porous inertial resistance parameters are set to equivalent the actual heat sink effect.

[0074] Mesh division is mainly used to divide the space region into enough calculation regions (i.e., small enough calculation regions), and then solve equations on each calculation region. In theory, the more dense the mesh is, the higher the calculation accuracy is. Body control and surface control mesh refinement control tools can be used to perform automatic mesh division. The cutting body mesh is generated by cutting the hexahedral template mesh with a geometric surface. During simulation, the cutting body mesh is used to perform mesh encryption in the cabin and impeller area, and the wall surface is processed by using boundary layer mesh to ensure that the requirements of the turbulence model are met. For example, the wall y+ distribution satisfies that the Reynolds number is in the order of 10E5, the boundary layer thickness is less than 0.2 m, not less than 6 layers of mesh encryption, and the first layer of mesh thickness is not more than 0.03 m. See Figure 2 and Figure 3 Examples, Figure 2A schematic diagram of the grid distribution of the wall boundary layer is provided for the embodiment of the present application, Figure 3 A schematic diagram of the grid division of the impeller and the nacelle is provided for the embodiment of the present application. The more intensive the area, the higher the data attention to the area, that is, the higher the calculation accuracy.

[0075] In a possible implementation, when the simulation condition is configured, the following multiple cases can be included:

[0076] (1) Working condition configuration: at least one of the simulation wind speed, the impeller speed, the pitch angle, the impeller azimuth angle, the wind-against angle, and the inflow angle. That is, multiple working condition configurations can be realized by configuring different simulation wind speeds, impeller speeds, pitch angles, impeller azimuth angles, wind-against angles, and inflow angles.

[0077] (2) Measuring point configuration: the preset position coordinates of the anemometer and the wind vane. That is, the position coordinates of the anemometer and the wind vane can be simulated and configured as the measuring points of the wind turbine generator. The anemometer can be used to measure the wind speed, and the wind vane can be used to measure the wind direction. In addition, the position coordinates of the ultrasonic wind measurement position can also be simulated and configured, that is, the ultrasonic sensor is used to measure the wind speed, wind direction, and other wind parameters.

[0078] (3) Boundary condition: when simulating the wind turbine generator, the boundary condition needs to be configured, including the velocity inlet condition, the pressure outlet condition, the wall boundary condition, and the like. For example, in the embodiment of the present application, the left side and the top boundary of the wind turbine generator can be configured to adopt the velocity inlet boundary condition, the right side boundary can be configured to adopt the pressure outlet boundary condition, the bottom, the wind turbine, the water tank, the lightning rod, the wind measurement support, and the like can be configured to adopt the wall boundary condition, and the heat dissipation baffle can be configured to adopt the porous medium area equivalence.

[0079] Among them, the velocity inlet boundary condition can be configured with the atmospheric boundary layer (Atmospheric Boundary Layer, ABL) wind profile: generally, the wind shear coefficient is 0.2, the free flow wind speed (simulation wind speed) is matched to set the wind speed at different hub heights, the wind profile is constructed as the velocity inlet boundary condition through the exponential rate, which can reflect the wind speed corresponding to different heights. In addition, the values of the turbulent kinetic energy and the turbulent kinetic energy dissipation rate changing with the height can also be used as the velocity inlet boundary condition. In this embodiment, the specific way of calculating the turbulent kinetic energy and the turbulent kinetic energy dissipation rate is not limited, and does not affect the implementation of the technical scheme of the embodiment.

[0080] (4) Blade working condition configuration: the working condition configuration for the blade can be divided into the working condition of the rotating blade and the working condition of the static blade.

[0081] When the blade rotates, a virtual disk model (VDM) can be configured to simulate the blade. The VDM model represents a built-in physical model simulating the impeller surface, which is different from the specific three-dimensional model of the blade. The VDM model can simplify the blade into a segmented model matched with the BEM theory, and the corresponding parameters can be directly obtained from the Bladed software. For example, the blade geometric information and the lift-drag coefficient table can be loaded, and the corresponding relationship between the impeller speed / pitch angle and the incoming wind speed can be matched by the dynamic power table.

[0082] When the blade is stationary, a three-dimensional geometric model of the blade needs to be introduced, and therefore a wall function needs to be assigned to the surface of the blade, i.e., a no-slip boundary condition. The wall function is a mathematical model used to describe the velocity and shear stress changes of the fluid near the wall in computational fluid dynamics, which can simplify the calculation of the flow at the wall.

[0083] When the required conditions for simulation are configured, the computational fluid dynamics calculation can be performed. The present embodiment can use three-dimensional steady-state simulation, and the parameter settings include dimension, time, viscosity, wall treatment, and gas compressibility. When the parameter configuration is completed, the simulation process can be started.

[0084] S102: Determine the first simulation wind parameter data of the free flow position of the wind turbine generator set and the second simulation wind parameter data of the target position point under each working condition based on the simulation results, and determine the first correction parameter based on the first simulation wind parameter data and the second simulation wind parameter data.

[0085] When the simulation result converges, it indicates that the simulation process is completed, and the first simulation wind parameter data of the free flow position and the second simulation wind parameter data of the target position point under each working condition can be determined. Alternatively, the condition of the simulation result converging can be determined by the following method: the residual convergence curve of the simulation output variable can be calculated, and when the residual of the simulation output variable is less than a preset value, it is determined that the simulation result converges. The simulation output variable can be at least one of the velocity, the pressure, the turbulent kinetic energy, and the turbulent kinetic energy dissipation rate. The preset value corresponding to the residual can be set according to the actual demand, for example, it can be set to the order of 10E-3. For example, when the residual of the turbulent kinetic energy of the simulation output is less than 0.001, it indicates that the simulation result converges, and the simulation process can be ended.

[0086] The target position point represents a measurement sensor of the wind turbine generator set, which can include an anemometer, a wind vane, an ultrasonic side wind, etc. For details, refer to Figure 4 , Figure 4A1, B1, C1 can represent the positions of the wind vanes, i.e., the wind vanes can be at positions of different heights to measure, A2, B2, C2 can represent the positions of the ultrasonic wind measurement at different heights, and A3, B3, C3 can represent the positions of the anemometers at different heights.

[0087] In the embodiment of the present application, the free flow position of the wind turbine generator set can be set as a position 2.5D in front of the impeller, and D represents the diameter of the impeller.

[0088] The first simulation wind parameter data / second simulation wind parameter data can include wind speed, wind direction, turbulence, etc. The turbulence intensity can be calculated by the wind speed and other parameters.

[0089] In a possible implementation, after the first simulation wind parameter data and the second simulation wind parameter data under each working condition are determined, an association data table can also be established to store the first simulation wind parameter data and the second simulation wind parameter data under each working condition. Referring to Table 1, wind parameter data under multiple working conditions are shown, which are all working conditions of impeller rotation. The working condition parameters include: simulation wind speed, impeller speed, pitch angle, wind-approaching angle, and inflow angle. The first simulation wind parameter data includes: wind speed at a position 2.5D in front of the impeller, turbulence intensity at the position 2.5D in front of the impeller, and wind-approaching angle for correcting wind direction, and the second simulation wind parameter data includes: wind speed at the anemometer, wind speed at the ultrasonic wind measurement, turbulence intensity at the anemometer, turbulence intensity at the ultrasonic wind measurement, and wind direction at the wind vane.

[0090] Table 1: Wind parameter data under multiple working conditions when the impeller rotates

[0091]

[0092] In addition, when the impeller is in a static working condition, the second simulation wind parameter data of the target position point can also be simulated. Referring to FIG. 6, a schematic diagram of turbulence intensity at an anemometer is provided in an embodiment of the present application. In Figure 5 the turbulence intensity curves at different wind speeds corresponding to each impeller azimuth angle when the impeller is in a static working condition are shown, including turbulence intensity curves at wind speeds of 4 m / s, 15 m / s, and 22 m / s. The abscissa represents the impeller azimuth angle, and the ordinate represents the turbulence intensity. Figure 5

[0093] ​When the first simulation wind parameter data of the free flow position and the second simulation wind parameter data of the target position point are acquired, the first correction parameter can be determined according to the first simulation wind parameter data and the second simulation wind parameter data. The first correction parameter can be used to infer and calculate the wind parameter data of the free flow position according to the wind parameter data of the target position point. In a possible implementation, the first correction parameter can be determined according to the difference or ratio between the first simulation wind parameter data and the second simulation wind parameter data.

[0094] When the first simulation wind parameter data and the second simulation wind parameter data include the wind speed, the wind direction and the turbulence intensity, the first correction parameter includes the wind speed correction parameter, the wind direction correction parameter and the turbulence intensity correction parameter. Specifically, one wind speed correction parameter can be determined according to the difference or ratio between the wind speed of the free flow position (2.5D before the impeller) and the wind speed at the anemometer, and another wind speed correction parameter can be determined according to the difference or ratio between the wind speed of the free flow position and the wind speed at the ultrasonic wind sensor. One turbulence intensity correction parameter can be determined according to the difference or ratio between the turbulence intensity of the free flow position and the turbulence intensity at the anemometer, and another turbulence intensity correction parameter can be determined according to the difference or ratio between the turbulence intensity of the free flow position and the turbulence intensity at the ultrasonic wind sensor. The wind direction of the free flow position can be represented by the wind-against angle, and the wind direction correction parameter can be determined according to the difference between the wind-against angle and the wind direction at the wind direction marker.

[0095] In a possible implementation, to facilitate viewing, the first correction parameter table can also be established according to the first correction parameter under each working condition. Specifically, refer to Table 2 for an example of determining the turbulence intensity correction parameter table according to the turbulence intensity of the free flow position and the turbulence intensity at the target position point when the impeller is in the rotating working condition. The free flow position is 2.5D before the impeller, the target position points are the anemometer and the ultrasonic wind sensor, the turbulence intensity correction parameter at the anemometer is determined according to the ratio between the turbulence intensity at 2.5D before the impeller and the turbulence intensity at the anemometer, and the turbulence intensity correction parameter at the ultrasonic wind sensor is determined according to the ratio between the turbulence intensity at 2.5D before the impeller and the turbulence intensity at the ultrasonic wind sensor. The principles of determining the wind speed correction parameter table and the wind direction correction parameter table are the same as those of determining the turbulence intensity correction parameter table, which will not be described herein again.

[0096] Table 2 Turbulence intensity correction parameter table

[0097]

[0098] According to the above embodiments, when the simulation result converges, it can be determined that the simulation process ends. To further determine the effectiveness of the simulation result, the effectiveness of the simulation result can also be verified based on the simulation output parameter. In specific implementation, the verification can be performed in the following ways:

[0099] (1) Obtain the wake velocity of the wind turbine group in the simulation output. The wake position can be determined as 10D position behind the blade. When the wake velocity is greater than the first preset proportion of the inlet wind speed, it is determined that the simulation result is valid. The first preset proportion can be set according to actual needs, and the embodiments of the present application do not limit this. For example, the first preset proportion can be set to 0.8, that is, when the wake velocity is greater than 0.8 times the inlet wind speed, it indicates that this simulation is valid.

[0100] (2) Obtain the wake turbulence of the wind turbine group in the simulation output, and when the wake turbulence is less than the second preset proportion of the free flow turbulence, it is determined that the simulation result is valid. The second preset proportion can be set according to actual needs, and the embodiments of the present application do not limit this. For example, the second preset proportion can be set to 1.2, that is, when the wake turbulence is less than 1.2 times the free flow turbulence, it indicates that this simulation is valid.

[0101] (3) Obtain the wind speed at multiple positions before and after the impeller in the simulation output, and when the change trend of the multiple wind speeds meets the requirements, it is determined that the simulation result is valid. The position of the collected wind speed can be determined according to the horizontal distance from the hub center, that is, the horizontal distance from the impeller. When the impeller is in a rotating state, the wind speed at different positions before and after the impeller will be affected by the rotation of the impeller. Generally, the wind speed at a position far away from the hub center is stable, and the wind speed in a range close to the hub center decreases first and then increases as the distance shortens. When the wind speed at multiple positions before and after the impeller in the simulation output meets the above change trend, it indicates that the simulation result is valid.

[0102] For example, after obtaining the wind speed at multiple positions before and after the impeller in a simulation working condition, the change trend of the simulation output wind speed is first decreased and then increased within a range of about 200 meters before and after the impeller, and the simulation output wind speed is basically in a stable state outside the range of about 200 meters before and after the impeller. Based on this, it can be determined that the simulation result is valid.

[0103] S103: Obtain the first actual wind parameter data of the free flow position and the second actual wind parameter data of the target position point under each working condition, and determine the second correction parameter based on the first actual wind parameter data and the second actual wind parameter data.

[0104] When the first correction parameter is determined according to the simulation result, in order to improve the accuracy of calculating the free flow position wind parameter data according to the correction parameter, the simulation obtained correction parameter can also be corrected according to the correction parameter under the actual working condition.

[0105] Since the simulation can configure multiple working conditions according to requirements, and the working condition of the wind turbine in actual operation is limited, it can not correspond to the simulation working condition one by one. Based on this, the multiple simulation working conditions can be classified according to the working condition in the simulation to determine the working conditions of multiple categories. Then, according to the simulation working condition of each category, one or more working condition conditions in actual operation can be determined, and the actual wind parameter data corresponding to one or more working conditions of each category can be obtained.

[0106] In a possible implementation, the working conditions can be divided into different types according to the impeller speed, pitch angle and the like. For example, when the speed of the impeller is greater than a preset value, it is determined as a grid-connected operation working condition; when the speed is not 0 and less than the preset value, it can be determined as a shutdown idling working condition according to the pitch angle; when the speed is 0 or very small, it can be determined as a shutdown stationary working condition.

[0107] It should be noted that the working condition types provided in the above embodiments are only exemplary descriptions and are not limited to the above three types of working conditions.

[0108] Specifically, the wind turbine is controlled to actually operate in each working condition of the simulation. The working conditions can be the multiple working conditions after classification. That is, for any working condition in the simulation, the actual working condition is determined to be the same as the working condition in the simulation, and the wind turbine is controlled to operate in the actual working condition to obtain the first actual wind parameter data of the free flow position of the wind turbine and the second actual wind parameter data of the target position point. The target position point is the same as the target position point in the simulation. Since the wind parameter data of the free flow position of the wind turbine cannot be directly measured, the wind parameter data in the free flow can be measured by the wind measurement tower as the first actual wind parameter data of the free flow position of the wind turbine. Since the equipment cost of the wind measurement tower is high, it is usually not measured by the wind measurement tower in actual application, but the wind parameter data of the free flow position is inferred and calculated according to the wind parameter data of the target position point.

[0109] When the first actual wind parameter data and the second actual wind parameter data are determined, the second correction parameter can be determined based on the first actual wind parameter data and the second actual wind parameter data. The second correction parameter can be determined according to the difference or ratio between the first actual wind parameter data and the second actual wind parameter data. It should be noted that the way of determining the first correction parameter and the second correction parameter needs to be matched, that is, when the first correction parameter is determined according to the difference between the first simulation wind parameter data and the second simulation wind parameter data, the second correction parameter is also determined according to the difference between the first actual wind parameter data and the second actual wind parameter data; when the first correction parameter is determined according to the ratio between the first simulation wind parameter data and the second simulation wind parameter data, the second correction parameter is also determined according to the ratio between the first actual wind parameter data and the second actual wind parameter data.

[0110] According to the above embodiment, in order to facilitate viewing, a first correction parameter table can be established according to the first correction parameters under various working conditions. Similarly, in order to facilitate viewing and correction, a second correction parameter table can be established according to the second correction parameters under various actual working conditions, and the second correction parameter table includes a plurality of actual working conditions and the second correction parameters corresponding to each actual working condition.

[0111] S104: correcting the first correction parameter based on the second correction parameter to determine a corrected first correction parameter.

[0112] When the second correction parameter is determined according to the wind parameter data under the actual working condition, the first correction parameter can be corrected by using the second correction parameter, so that the corrected first correction parameter can be determined.

[0113] Optionally, the first correction parameter table can be corrected according to the second correction parameter table in the above embodiment, so that the corrected first correction parameter table can be determined.

[0114] In a possible implementation, the first correction parameter can also be corrected by the following method. The correction relationship model can be established according to the first correction parameter table and the second correction parameter table. The correction relationship model can represent the corresponding functional relationship between the first correction parameter and the second correction parameter, for example, the correction relationship model can be determined by linear regression fitting. Thus, the first correction parameter in the first correction parameter table can be corrected based on the correction relationship model to determine the corrected first correction parameter table.

[0115] S105: correcting the wind parameter data under the target working condition based on the corrected first correction parameter.

[0116] When the corrected first correction parameter is obtained, the wind turbine set can correct the wind parameter data measured by the sensor according to the corrected first correction parameter when the wind turbine set operates under the target working condition.

[0117] In a specific implementation, the wind parameter data corresponding to the target position point of the target wind turbine generator set in the target operating condition is obtained when the target wind turbine generator set operates in the target operating condition. The target wind turbine generator set and the simulated wind turbine generator set can be of the same type. According to each operating condition in simulation, a target simulation operating condition corresponding to the target operating condition is determined, and a correction parameter corresponding to the target simulation operating condition is determined, which is a corrected correction parameter. The target simulation operating condition corresponding to the rotating speed and the pitch angle in the target operating condition can be determined according to the rotating speed and the pitch angle in the target operating condition. Then, the wind parameter data of the free flow position is determined based on the correction parameter and the wind parameter data of the target position point, so as to perform load evaluation according to the wind parameter data of the free flow position. That is, the wind parameter data of the target position point in the target operating condition in actual operation can be corrected according to the correction parameter in the simulation operating condition to obtain the wind parameter data of the free flow position, so that load evaluation can be performed according to the wind parameter data of the free flow position.

[0118] By the method provided in the embodiments of the present application, the wind turbine generator set can be simulated to obtain the correction parameter between the wind parameter data of the target position point (sensor) and the wind parameter data of the free flow position, and the simulation obtained correction parameter can be corrected according to the correction parameter obtained in actual operation. In order to subsequently calculate the wind parameter data of the free flow position according to the correction parameter and the measured wind parameter data in actual application, the calculation is more accurate.

[0119] Based on the above method embodiments, the embodiments of the present application provide a wind turbine generator set wind parameter data correction system. Referring to Figure 6 , Figure 6 A schematic diagram of a wind turbine generator set wind parameter data correction system provided by the embodiments of the present application.

[0120] The system 600 includes a parameter acquisition unit 601, a simulation modeling unit 602, a simulation data analysis unit 603, a prototype data analysis unit 604, a correction parameter unit 605, and a lookup determination unit 606.

[0121] The parameter acquisition unit 601 is configured to acquire basic parameter information of the wind turbine generator set. For example, the basic parameter information includes a model, a blade model, a rack model, a head model, a generator model, and the like.

[0122] The simulation modeling unit 602 is configured to simulate a plurality of operating conditions of the wind turbine generator set based on the basic parameter information of the wind turbine generator set.

[0123] The simulation data analysis unit 603 is configured to verify validity of the simulation result, determine first simulation wind parameter data of the free flow position of the wind turbine under each working condition and second simulation wind parameter data of the target position point based on the simulation result, and determine the first correction parameter based on the first simulation wind parameter data and the second simulation wind parameter data;

[0124] The prototype data analysis unit 604 is configured to obtain first actual wind parameter data of the free flow position and second actual wind parameter data of the target position point under each working condition, and determine the second correction parameter based on the first actual wind parameter data and the second actual wind parameter data;

[0125] The correction parameter unit 605 is configured to correct the first correction parameter based on the second correction parameter, and determine the corrected first correction parameter;

[0126] The lookup determination unit 606 is configured to correct the wind parameter data under the target working condition based on the corrected first correction parameter.

[0127] The specific implementation process of each unit in the system provided in the embodiments of the present application can be referred to the method embodiments described above, which will not be repeated here.

[0128] Based on the method embodiments and the system embodiments described above, the embodiments of the present application provide a wind turbine wind parameter data correction device. Referring to Figure 7 , Figure 7 FIG. 1 is a schematic diagram of a wind turbine wind parameter data correction device provided in the embodiments of the present application.

[0129] The device 700 includes:

[0130] The simulation unit 701 is configured to simulate a plurality of working conditions of the wind turbine based on basic parameter information of the wind turbine;

[0131] The first determination unit 702 is configured to determine first simulation wind parameter data of the free flow position of the wind turbine under each working condition and second simulation wind parameter data of the target position point based on the simulation result, and determine the first correction parameter based on the first simulation wind parameter data and the second simulation wind parameter data;

[0132] The second determination unit 703 is configured to obtain first actual wind parameter data of the free flow position and second actual wind parameter data of the target position point under each working condition, and determine the second correction parameter based on the first actual wind parameter data and the second actual wind parameter data;

[0133] The first correction unit 704 is configured to correct the first correction parameter based on the second correction parameter, and determine the corrected first correction parameter;

[0134] The second correction unit 705 is configured to correct the wind parameter data in the target working condition based on the corrected first correction parameter.

[0135] In a possible implementation, the second correction unit 705 is specifically configured to acquire wind parameter data corresponding to a target position point of the target wind turbine when the target wind turbine operates in a target working condition; determine a target simulation working condition corresponding to the target working condition, and determine a correction parameter corresponding to the target simulation working condition; and determine wind parameter data of a free flow position based on the correction parameter and the wind parameter data, so as to perform load evaluation according to the wind parameter data of the free flow position.

[0136] In a possible implementation, the simulation conditions corresponding to the working conditions include one or more of the following:

[0137] The working condition configuration includes at least one of the following: simulation wind speed, impeller rotating speed, pitch angle, impeller azimuth angle, wind-approaching angle, and inflow angle; the measurement point configuration includes preset position coordinates of an anemograph and a wind vane; the boundary condition includes at least one of the following: velocity inlet condition, pressure outlet condition, and wall boundary condition; and the blade working condition configuration includes: when the blade rotates, configuring a virtual disk model (VDM) to simulate the blade; and when the blade is static, configuring a no-slip solid boundary condition.

[0138] In a possible implementation, the device further includes a verification unit.

[0139] Before determining the first simulation wind parameter data of the free flow position of the wind turbine in each working condition, the verification unit is configured to verify the effectiveness of the simulation result, and the verification of the effectiveness of the simulation result includes one or more of the following: acquiring a wake velocity of the wind turbine in the simulation output; when the wake velocity is greater than a first preset proportion of the inlet wind speed, determining that the simulation result is effective; or acquiring a wake turbulence of the wind turbine in the simulation output; when the wake turbulence is less than a second preset proportion of the free flow turbulence, determining that the simulation result is effective; or acquiring wind speeds at multiple positions before and after the impeller in the simulation output; when the change trend of the multiple wind speeds meets the requirement, determining that the simulation result is effective.

[0140] In a possible implementation, the device further includes an establishment unit.

[0141] The establishment unit is configured to establish an association data table based on the first simulation wind parameter data and the second simulation wind parameter data in the working conditions.

[0142] In a possible implementation, the establishment unit is further configured to establish a first correction parameter table based on the first correction parameters in the working conditions, and establish a second correction parameter table based on the second correction parameters in the working conditions.

[0143] The first correction unit 704 is specifically configured to correct the first correction parameter table based on the second correction parameter table, and determine a corrected first correction parameter table.

[0144] In a possible implementation, the first correction unit 704 is specifically configured to establish a correction relationship model based on the first correction parameter table and the second correction parameter table, correct the first correction parameter table based on the correction relationship model, and determine a corrected first correction parameter table.

[0145] In a possible implementation, the first wind parameter data includes at least one of a wind speed, a wind direction, and a turbulence intensity.

[0146] In a possible implementation, the target position point includes at least one of an anemograph, a wind vane, and an ultrasonic wind sensor, and the free flow position includes a 2.5D position before a blade wheel.

[0147] Based on this, the embodiment of the present application further provides a correction device for wind parameter data of a wind turbine generator. The following will be introduced with reference to the accompanying drawings.

[0148] The embodiment of the present application provides a schematic diagram of a correction device for wind parameter data of a wind turbine generator.

[0149] The device 800 includes a memory 801 and a processor 802.

[0150] The memory 801 is configured to store related program codes.

[0151] The processor 802 is configured to invoke the program codes and execute the correction method for wind parameter data of a wind turbine generator as described in the above method embodiments.

[0152] In addition, the embodiment of the present application further provides a computer readable storage medium, which is configured to store a computer program, and the computer program is configured to execute the correction method for wind parameter data of a wind turbine generator as described in the above method embodiments.

[0153] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. In particular, for system or device embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to the descriptions in the method embodiments. The device embodiments described above are merely illustrative. The units or modules described as separate components may or may not be physically separate. The components shown as units or modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network units. Some or all of the units or modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0154] It should be understood that in this application, "at least one (item)" means one or more, and "more than" means two or more. "And / or" is used to describe the relationship between related objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0155] It should also be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0156] The steps of a method or algorithm described in connection with the embodiments disclosed herein can be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module can reside in random access memory (RAM), flash memory, read-only memory (ROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such that the processor can read information from, and

[0157] The above description of disclosed embodiments is intended to be illustrative and not restrictive. Many embodiments of the application will be apparent to those of skill in the art upon reviewing the above description. The scope of the application should, therefore, be determined not with reference to the above description, but instead should be given with reference to the appended claims, along with their full scope of equivalents.

Claims

1. A method for correcting wind parameter data of a wind turbine generator set, characterized in that, The method includes: Simulations were performed on multiple operating conditions of the wind turbine generator set based on its basic parameter information. Based on the simulation results, the first simulated wind parameter data of the free flow position of the wind turbine generator set under each working condition and the second simulated wind parameter data of the target position point are determined, and the first correction parameter is determined based on the first simulated wind parameter data and the second simulated wind parameter data. Acquire the first actual wind parameter data of the free flow position and the second actual wind parameter data of the target position under each working condition, and determine the second correction parameter based on the first actual wind parameter data and the second actual wind parameter data; The first correction parameter is corrected based on the second correction parameter to determine the corrected first correction parameter; The wind parameter data under the target operating condition is corrected based on the first corrected parameter.

2. The method according to claim 1, characterized in that, The step of correcting the wind parameter data under the target operating condition based on the corrected first correction parameter includes: Obtain wind parameter data corresponding to the target location point of the target wind turbine generator set when the target wind turbine generator set is running under the target operating conditions; Determine the target simulation condition corresponding to the target operating condition, and determine the correction parameters corresponding to the target simulation condition; Based on the correction parameters and the wind parameter data, the wind parameter data at the free-flow location is determined so that load assessment can be performed based on the wind parameter data at the free-flow location.

3. The method according to claim 1, characterized in that, The simulation conditions corresponding to each working condition include one or more of the following: Operating conditions configuration: at least one of the following: simulated wind speed, impeller speed, blade pitch angle, impeller azimuth angle, windward angle, and inflow angle; Measurement point configuration: preset position coordinates of the anemometer and wind vane; Boundary conditions: at least one of velocity inlet conditions, pressure outlet conditions, and wall boundary conditions; Blade operating condition configuration: When the blade is rotating, configure the virtual disk model (VDM) to simulate the blade; when the blade is stationary, configure no-slip solid boundary conditions.

4. The method according to claim 1, characterized in that, Before determining the first simulated wind parameter data for the free-flow position of the wind turbine generator under various operating conditions, the method further includes: Verify the validity of the simulation results; The verification of the validity of the simulation results includes one or more of the following: Obtain the wake velocity of the wind turbine generator set from the simulation output. If the wake velocity is greater than the inlet wind velocity of a first preset ratio, the simulation result is deemed valid; or... Obtain the wake turbulence of the wind turbine generator set from the simulation output. If the wake turbulence is less than the free-flow turbulence of a second preset ratio, the simulation result is deemed valid; or... Obtain the wind speed at multiple positions before and after the impeller from the simulation output. If the trend of the multiple wind speed changes meets the requirements, the simulation result is deemed valid.

5. The method according to claim 1, characterized in that, The method further includes: Based on the first and second simulated wind parameter data under each of the aforementioned operating conditions, a correlation data table is established.

6. The method according to claim 1, characterized in that, The method further includes: A first correction parameter table is established based on the first correction parameters under each of the aforementioned operating conditions; A second correction parameter table is established based on the second correction parameters under each of the aforementioned operating conditions; The step of correcting the first correction parameter based on the second correction parameter to determine the corrected first correction parameter includes: The first correction parameter table is corrected based on the second correction parameter table to determine the corrected first correction parameter table.

7. The method according to claim 6, characterized in that, The step of modifying the first correction parameter table based on the second correction parameter table to determine the modified first correction parameter table includes: A correction relationship model is established based on the first correction parameter table and the second correction parameter table; The first correction parameter table is corrected based on the correction relationship model to determine the corrected first correction parameter table.

8. The method according to claim 1, characterized in that, The wind parameter data includes at least one of wind speed, wind direction, and turbulence intensity.

9. The method according to any one of claims 1 to 8, characterized in that, The target location includes at least one of the following: an anemometer, a wind vane, and an ultrasonic anemometer. The free-flow position includes: 2.5D in front of the impeller.

10. A device for correcting wind parameter data of a wind turbine generator set, characterized in that, The device includes: The simulation unit is used to simulate multiple operating conditions of the wind turbine generator set based on the basic parameter information of the wind turbine generator set. The first determining unit is used to determine the first simulated wind parameter data of the free flow position of the wind turbine generator set under each working condition and the second simulated wind parameter data of the target position point based on the simulation results, and to determine the first correction parameter based on the first simulated wind parameter data and the second simulated wind parameter data. The second determining unit is used to acquire the first actual wind parameter data of the free flow position and the second actual wind parameter data of the target position under each working condition, and to determine the second correction parameter based on the first actual wind parameter data and the second actual wind parameter data. The first correction unit is used to correct the first correction parameter based on the second correction parameter, and determine the corrected first correction parameter; The second correction unit is used to correct the wind parameter data under the target operating condition based on the corrected first correction parameter.

11. A device for correcting wind parameter data of a wind turbine generator set, characterized in that, The device includes: a memory and a processor; The memory is used to store the relevant program code; The processor is used to call the program code to execute the method for correcting wind parameter data of wind turbine generator sets as described in any one of claims 1 to 9.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium is used to store a computer program for executing the method for correcting wind parameter data of a wind turbine generator set as described in any one of claims 1 to 9.

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