Method, device and equipment for correcting wind parameter data of wind generating set and medium

Abstract

The invention discloses a correction method and device for wind parameter data of a wind generating set, equipment and a medium, and the method comprises the steps: carrying out the simulation of a plurality of working conditions according to the basic parameter information of the wind generating set, and determining the first simulation wind parameter data of a free flow position and the second simulation wind parameter data of a target position point under each working condition based on a simulation result, a first correction parameter is determined based on the first simulated wind parameter data and the second simulated wind parameter data. Acquiring first actual wind parameter data of the free flow position under each working condition and second actual wind parameter data of the target position point, and determining a second correction parameter; and correcting the first correction parameter based on the second correction parameter, and determining the corrected first correction parameter. And correcting the wind parameter data under the target working condition according to the corrected first correction parameter. Namely, the correction parameters obtained through simulation are corrected according to the correction parameters obtained according to the actual operation conditions, so that the wind parameter data obtained according to the correction parameters subsequently is more accurate.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a method, device, equipment and medium for correcting wind parameter data of a wind generator set. Background Art

[0002] Wind turbines are electrical equipment that converts wind energy into mechanical work, which drives the rotor to rotate and ultimately outputs alternating current. In order to increase the power generation of wind turbines, reduce the failure rate and increase the service life of wind turbines, wind resource assessment and load assessment 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 fields. The flow field covered is relatively wide, and the accuracy of the simulation results is highly dependent on the applicability of the fluid simulation software to the scene, resulting in large differences between the simulated wind parameters and the actual wind parameters on site, affecting the accuracy of the subsequent wind parameter data inferred based on the simulation results. Summary of the invention

[0004] In view of this, the present application provides a method, device, equipment and medium for correcting wind parameter data of a wind turbine generator set, so as to determine a correction method for wind parameter data and obtain more accurate wind parameter data.

[0005] In a first aspect, the present application provides a method for correcting wind parameter data of a wind turbine generator set, the method comprising:

[0006] Simulating multiple operating conditions of the wind turbine generator set based on basic parameter information of the wind turbine generator set;

[0007] Determine first simulation wind parameter data of the free flow position of the wind turbine generator set under various working conditions and second simulation wind parameter data of the target position point based on the simulation results, and determine a first correction parameter based on the first simulation wind parameter data and the second simulation wind parameter data;

[0008] Acquire first actual wind parameter data of the free flow position and second actual wind parameter data of the target position point under the various working conditions, and determine 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] The wind parameter data under the target working condition is corrected based on the corrected first correction parameter.

[0011] In a possible implementation, the step of correcting the wind parameter data under the target working condition based on the corrected first correction parameter includes:

[0012] Acquire wind parameter data corresponding to a target position point of the target wind turbine generator set when the target wind turbine generator set is operating under a target operating condition;

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

[0014] Based on the correction parameter and the wind parameter data, the wind parameter data of the free flow position is determined 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 various working conditions include one or more of the following:

[0016] Working condition configuration: at least one of the following: simulated wind speed, impeller speed, pitch angle, impeller azimuth, wind angle, and inflow angle;

[0017] Measuring point configuration: preset position coordinates of anemometer and wind vane;

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

[0019] Blade operating condition configuration: When the blade rotates, a virtual disk model VDM is configured to simulate the blade; when the blade is stationary, 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 generator set under various working conditions, the method further includes:

[0021] Verify the validity of simulation results;

[0022] The verification of the validity of the simulation results includes one or more of the following:

[0023] Acquire the wake velocity of the wind turbine generator set output by simulation, and when the wake velocity is greater than a first preset ratio of the inlet wind speed, determine that the simulation result is valid; or,

[0024] Acquire the wake turbulence of the wind turbine generator set output by simulation, and when the wake turbulence is less than the free stream turbulence of a second preset ratio, determine that the simulation result is valid; or,

[0025] The wind speeds at multiple positions before and after the impeller are obtained from the simulation output. When the changing trends of the multiple wind speeds meet the requirements, it is determined that the simulation results are valid.

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

[0027] Based on the first simulation wind parameter data and the second simulation wind parameter data under the various working conditions, a correlation data table is established.

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

[0029] Establishing a first correction parameter table based on the first correction parameters under the various working conditions;

[0030] Establishing a second correction parameter table based on the second correction parameters under the various working conditions;

[0031] The step of correcting the first correction parameter based on the second correction parameter to determine the corrected first correction parameter includes:

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

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

[0034] Establishing a correction relationship model 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 a corrected first correction parameter table.

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

[0037] In a possible implementation, the target location point includes: at least one of an anemometer, a wind vane, and an ultrasonic wind measurement location;

[0038] The free flow position includes: a position 2.5D in front of the impeller.

[0039] In a second aspect, the present application provides a device for correcting wind parameter data of a wind turbine generator set, the device comprising:

[0040] A simulation unit, used for simulating multiple working conditions of the wind turbine generator set based on basic parameter information of the wind turbine generator set;

[0041] A first determination unit is used to determine first simulation wind parameter data of the free flow position of the wind turbine generator set and second simulation wind parameter data of the target position point under various working conditions based on the 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 determination unit is used to obtain first actual wind parameter data of the free flow position under each working condition and second actual wind parameter data of the target position point, and determine a second correction parameter based on the first actual wind parameter data and the second actual wind parameter data;

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

[0044] The second correction unit is used to correct the wind parameter data under the target working condition based on the corrected first correction parameter.

[0045] In a third aspect, the present application provides a device for correcting wind parameter data of a wind turbine generator set, the device comprising: a memory and a processor;

[0046] The memory is used to store relevant program codes;

[0047] The processor is used to call the program code to execute the method for correcting wind parameter data of a wind turbine generator set described in any one of the implementations of the first aspect.

[0048] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method for correcting wind parameter data of a wind turbine generator set described in any one of the implementations of the first aspect above.

[0049] It can be seen that this application has the following beneficial effects:

[0050] In the above implementation of the present application, multiple working conditions of the wind generator set can be simulated according to the basic parameter information of the wind generator set, and the first simulated wind parameter data of the free flow position corresponding to each working condition of the wind generator set and the second simulated wind parameter data of the target position point can be determined based on the simulation results, and the first correction parameter can be determined based on the first simulated wind parameter data and the second simulated wind parameter data. Then, the first actual wind parameter data of the free flow position of the wind generator set under each working condition and the second actual wind parameter data of the target position point 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 generator set under each working condition are obtained, 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 under the target working condition can be corrected according to the corrected first correction parameter. Through the method provided by the present application, simulation can be performed on the wind generator set to obtain the correction parameters of the corrected wind parameter data, and the correction parameters obtained by simulation can be corrected according to the correction parameters obtained from the actual operating conditions. So that in subsequent practical applications, the wind parameter data obtained according to the correction parameters are more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. It is obvious that the drawings described below are only some embodiments provided in the present application, and a person skilled in the art can also obtain other drawings based on these drawings.

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

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

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

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

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

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

[0058] Figure 7 A schematic diagram of a device for correcting wind parameter data of a wind turbine generator set provided in an embodiment of the present application. DETAILED DESCRIPTION

[0059] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. The described embodiments are only exemplary implementation methods of the present application, not all implementation methods. Those skilled in the art can combine the embodiments of the present application to obtain other embodiments without creative work, and these embodiments are also within the scope of protection of the present application.

[0060] At present, fluid simulation software is mainly used to simulate atmospheric flow fields. The flow field covered is relatively wide, and the accuracy of the simulation results is highly dependent on the applicability of the fluid simulation software to the scene, resulting in large differences between the simulated wind parameters and the actual wind parameters on site, affecting the accuracy of the subsequent wind parameter data inferred based on the simulation results.

[0061] Based on this, the embodiment of the present application provides a method for correcting wind parameter data of a wind turbine generator set so as to improve the accuracy of obtaining wind parameter data. In specific implementation, multiple working conditions of the wind turbine generator set can be simulated according to the basic parameter information of the wind turbine generator set, and the basic parameter information may include machine type, blade model, frame model, etc. Based on the simulation results, the first simulation wind parameter data of the free flow position corresponding to the wind turbine generator set under each working condition and the second simulation wind parameter data of the target position point are determined, 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 of the wind turbine generator set under each working condition and the second actual wind parameter data of the target position point 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 under 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 under the target working condition can be corrected according to the corrected first correction parameter.

[0062] In an actual wind farm, when performing load assessment on a wind turbine, it is necessary to use the wind parameter data of the free flow position of the wind turbine. However, the wind parameter data of the free flow position cannot be directly measured, so it is necessary to calculate it based on the wind parameter data of the target position point and the correction parameters. The correction parameters are used to calculate the wind parameter data of the free flow position based on the wind parameter data of the target position point. Through the method provided in the present application, a simulation can be performed on a wind turbine to obtain correction parameters for correcting the wind parameter data, and the correction parameters obtained by simulation can be corrected based on the correction parameters obtained from the actual operating conditions. So that in subsequent practical applications, the wind parameter data obtained based on the correction parameters are more accurate.

[0063] In order to facilitate the understanding of the technical solution provided by the embodiments of the present application, a detailed introduction will be given below with reference to the accompanying drawings.

[0064] See also Figure 1 , Figure 1 A flowchart of a method for correcting wind parameter data of a wind turbine generator set provided in an embodiment of the present application.

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

[0066] When applied to a controller of a wind turbine generator set, the controller can obtain wind profile data of the wind turbine generator set, and process the obtained data to classify the wind profile, so as to perform adaptability evaluation on the wind turbine generator set based on the type of wind profile.

[0067] When applied to a terminal device or server, it can be executed independently by the terminal device or server, or it can be applied to a network scenario where the terminal device and the server communicate, and executed by the terminal device and the server in cooperation. The terminal device can be a desktop computer, a notebook, a handheld terminal, etc. The server can be understood as an application server or a Web server. In actual deployment, the server can be an independent server or a cluster server.

[0068] The method may include the following steps:

[0069] S101: Simulating multiple operating conditions of the wind turbine generator set based on basic parameter information of the wind turbine generator set.

[0070] The embodiment of the present application can simulate a wind turbine generator set, which can make the simulation result more accurate. Among them, different types of wind turbine generator sets correspond to different basic parameter information, for example, machine type, blade model, frame 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 can be simulated according to the basic parameter information. Among them, the same type of wind turbine generator sets can be determined according to the basic parameter information, and wind turbine generator sets of the same type can correspond to the same simulation conditions.

[0071] The wind parameter data of wind turbines are affected by the working conditions, so multiple working conditions can be configured during simulation to simulate multiple working conditions of wind turbines. For example, different working conditions can be configured by configuring different speeds, pitch angles, wind speeds, etc.

[0072] In a possible implementation, the wind turbine generator set may be simulated using fluid simulation analysis software, such as Star CCM+ fluid simulation software, wherein the simulation process may include steps such as geometric modeling, meshing, and simulation condition configuration.

[0073] Geometric modeling is to model the appearance models of wind turbine nacelles, hubs, blades and other components. When performing geometric modeling, you can filter out burrs and sharp corners for a smooth transition, and fill and smooth the gaps to prevent the results from not converging during simulation calculations. Optionally, in order to facilitate simulation calculations, the impeller part can also be simplified based on the Blade Element Theory (BEM), and the simplified part includes an external heat sink, wind measurement bracket, etc. Since the heat sink has a tubular arrangement, the heat sink is equivalent to a porous medium domain when configuring the simulation model, and the function of the actual heat sink is equivalent to that of the actual heat sink by setting parameters such as porosity and porous inertial resistance.

[0074] Meshing is mainly used to divide the spatial area into enough calculation areas (that is, small enough calculation areas), and then solve equations in each calculation area. In theory, the denser the grid, the higher the calculation accuracy. You can use mesh refinement control tools such as volume control and surface control to perform automatic meshing. The cutting volume mesh generates a volume mesh by cutting a hexahedral template mesh with a geometric surface. During simulation, the cutting volume mesh is used to encrypt the mesh in the area near the cabin and impeller, and the wall surface is processed with a boundary layer mesh to ensure that the requirements of the turbulence model are met. For example, the wall y+ distribution meets the Reynolds number of 10E5, the boundary layer thickness is less than 0.2m, and there are no less than 6 layers of mesh encryption, ensuring that the thickness of the first layer of mesh does not exceed 0.03m. See Figure 2 and Figure 3 For example, Figure 2A schematic diagram of the grid distribution of a wall boundary layer provided in an embodiment of the present application, Figure 3 A schematic diagram of meshing an impeller and a nacelle provided in an embodiment of the present application. The denser the area, the higher the data attention in the area, that is, the higher the calculation accuracy.

[0075] In a possible implementation, when configuring simulation conditions, the following multiple situations may be included:

[0076] (1) Working condition configuration: at least one of the following: simulated wind speed, impeller speed, pitch angle, impeller azimuth, windward angle, and inflow angle. That is, multiple working conditions can be configured by configuring different simulated wind speeds, impeller speeds, pitch angles, impeller azimuths, windward angles, inflow angles, and other parameters.

[0077] (2) Measurement point configuration: preset position coordinates of anemometers and wind vanes. In other words, the position coordinates of anemometers and wind vanes can be simulated and configured as measurement points of wind turbines. Anemometers can be used to measure wind speed, and wind vanes can be used to measure wind direction. In addition, the position coordinates of ultrasonic wind measurement points can also be simulated and configured, that is, ultrasonic sensors are used to measure wind speed, wind direction and other wind parameter data.

[0078] (3) Boundary conditions: When simulating a wind turbine generator set, it is necessary to configure boundary conditions, including velocity inlet conditions, pressure outlet conditions, wall boundary conditions, etc. For example, in the embodiment of the present application, the left and top boundaries of the wind turbine generator set can be configured to use velocity inlet boundary conditions, the right boundary can be configured to use pressure outlet boundary conditions, the bottom, wind turbine, water tank, lightning rod, wind measurement bracket, etc. can be configured to use wall boundary conditions, and the heat dissipation baffle can be configured to use porous medium area equivalent.

[0079] Among them, the velocity inlet boundary condition can be configured with the atmospheric boundary layer (ABL) wind profile: the wind shear coefficient is generally 0.2, and the free stream wind speed (simulated wind speed) can be matched to set the wind speed at different hub heights during simulation. The wind profile is constructed by exponential rate as the velocity inlet boundary condition, which can reflect the wind speed corresponding to different heights. In addition, the simulation can also be used to calculate the values ​​of turbulent kinetic energy and turbulent kinetic energy dissipation rate that change with height as the velocity inlet boundary condition. Among them, this embodiment does not limit the specific method of calculating turbulent kinetic energy and turbulent kinetic energy dissipation rate, and does not affect the implementation of the technical solution of this embodiment.

[0080] (4) Blade operating condition configuration: The blade operating condition configuration can be divided into blade rotating conditions and blade stationary conditions.

[0081] When the blades rotate, a virtual disk model (VDM) can be configured to simulate the blades. The VDM model represents a built-in physical model for simulating the impeller surface. Different from the specific three-dimensional blade model, the VDM model can simplify the blade into a segmented model that matches the blade element theory BEM, and the corresponding parameters can be directly obtained from the Bladed software. For example, the blade geometry information and lift and drag coefficient table can be loaded, and the dynamic power table can be used to match the corresponding relationship between the impeller speed / pitch angle and the inflow wind speed.

[0082] When the blade is stationary, it is necessary to introduce a three-dimensional geometric model of the blade, so it is necessary to assign a wall function to the blade surface, that is, a no-slip boundary condition. The wall function is a mathematical model used in computational fluid dynamics to describe the changes in velocity and shear stress of the fluid near the wall, which can simplify the calculation of the flow at the wall.

[0083] When the conditions required for the simulation are configured, the fluid mechanics solution calculation can be performed. This embodiment can adopt a three-dimensional steady-state simulation, and the parameter settings include dimension, time, viscosity, wall treatment, gas compressibility, etc. When the parameter configuration is completed, the simulation process can be started.

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

[0085] When the simulation results converge, it indicates that the simulation process is over, and the first simulation wind parameter data of the free flow position under each working condition and the second simulation wind parameter data of the target position point can be determined. Optionally, the conditions for the convergence of the simulation results can be determined in the following way. The residual convergence curve of the simulation output variable can be calculated, and when the residual of the simulation output variable is less than the preset value, the simulation result is determined to be converged. Among them, the simulation output variable can be at least one of velocity, pressure, turbulent kinetic energy, and turbulent kinetic energy dissipation rate. Among them, the preset value corresponding to the residual can be set according to actual needs, 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 results converge and the simulation process can be ended.

[0086] The target location point refers to the measurement sensor of the wind turbine generator set, which may include anemometer, wind vane, ultrasonic crosswind point, etc. Figure 4 , Figure 4A schematic diagram of a target location point of a wind turbine generator set provided in an embodiment of the present application. A1, B1, and C1 may indicate the location of a wind vane, that is, the wind vane may be measured at different heights, A2, B2, and C2 may indicate the locations of ultrasonic wind measurement at different heights, and A3, B3, and C3 may indicate the locations of anemometers at different heights.

[0087] The free flow refers to the natural flow of air when there is no external interference. In the embodiment of the present application, the free flow position of the wind turbine generator set can be set to the position 2.5D in front of the impeller, where D represents the diameter of the impeller.

[0088] The first simulation wind parameter data / the second simulation wind parameter data may include wind speed, wind direction, turbulence, etc. Turbulence intensity may be calculated through parameters such as wind speed.

[0089] In a possible implementation, after determining the first simulated wind parameter data and the second simulated wind parameter data under each working condition, an associated data table can also be established to store the first simulated wind parameter data and the second simulated wind parameter data under each working condition. As shown in Table 1, wind parameter data under multiple working conditions are shown, all of which are working conditions where the impeller rotates. The working condition parameters include: simulated wind speed, impeller speed, pitch angle, wind angle, and inflow angle. The first simulated wind parameter data include: 2.5D wind speed in front of the impeller, turbulence intensity 2.5D in front of the impeller, and wind angle for correcting wind direction. The second simulated wind parameter data include: 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 stationary condition, the second simulation wind parameter data of the target position point can also be obtained by simulation. Figure 5 FIG. 1 is a schematic diagram of turbulence intensity at an anemometer provided in an embodiment of the present application. Figure 5 The figure shows the turbulence intensity at the anemometer corresponding to each impeller azimuth at different wind speeds obtained by simulation when the impeller is in a stationary condition, including the turbulence intensity curves at three wind speeds of 4m / s, 15m / s, and 22m / s. The horizontal axis represents the impeller azimuth, and the vertical axis represents the turbulence intensity.

[0093] After obtaining the first simulated wind parameter data of the free flow position and the second simulated wind parameter data of the target position, the first correction parameter can be determined according to the first simulated wind parameter data and the second simulated wind parameter data. The first correction parameter can be used to obtain the wind parameter data of the free flow position by inference and calculation based on the wind parameter data of the target position. In a possible implementation, the first correction parameter can be determined according to the difference or ratio between the first simulated wind parameter data and the second simulated wind parameter data.

[0094] When the first simulation wind parameter data and the second simulation wind parameter data include wind speed, wind direction, and turbulence intensity, the first correction parameter includes a wind speed correction parameter, a wind direction correction parameter, and a turbulence intensity correction parameter. Specifically, a wind speed correction parameter can be determined according to the difference or ratio between the wind speed at the free flow position (2.5D in front of 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 at the free flow position and the wind speed at the ultrasonic wind measurement. A turbulence intensity correction parameter can be determined according to the difference or ratio between the turbulence intensity at 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 at the free flow position and the turbulence intensity at the ultrasonic wind measurement. The wind direction at the free flow position can be expressed by the wind angle, that is, the wind direction correction parameter is determined according to the difference between the wind angle and the wind direction at the wind vane.

[0095] In a possible implementation, for ease of viewing, a first correction parameter table can also be established based on the first correction parameters under various working conditions. For details, please refer to Table 2, which shows an example of determining a turbulence intensity correction parameter table based on the turbulence intensity at the free flow position and the turbulence intensity at the target position when the impeller is in a rotating condition. The free flow position is 2.5D in front of the impeller, and the target position is the anemometer and the ultrasonic wind measurement point. The turbulence intensity correction parameter at the anemometer is determined based on the ratio of the turbulence intensity at 2.5D in front of the impeller to the turbulence intensity at the anemometer, and the turbulence intensity correction parameter at the ultrasonic wind measurement is determined based on the ratio of the turbulence intensity at 2.5D in front of the impeller to the turbulence intensity at the ultrasonic wind measurement. Among them, the principles of determining the wind speed correction parameter table and the wind direction correction parameter table are the same as the principles of determining the turbulence intensity correction parameter table, which will not be repeated here.

[0096] Table 2 Turbulence intensity correction parameters

[0097]

[0098] According to the above embodiment, when the simulation results converge, it can be determined that the simulation process is over. In order to further determine that the simulation results are valid, the validity of the simulation results can also be verified based on the parameters of the simulation output. In specific implementation, verification can be performed in the following ways:

[0099] (1) Obtain the wake velocity of the wind turbine generator set output by simulation. The wake position can be determined as the position 10D behind the blade. When the wake velocity is greater than the inlet wind speed of the first preset ratio, the simulation result is determined to be valid. The first preset ratio can be set according to actual needs, and the embodiment of the present application does not limit this. For example, the first preset ratio 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 the simulation is valid.

[0100] (2) Obtaining the wake turbulence of the wind turbine generator set output by simulation, and determining that the simulation result is valid when the wake turbulence is less than the second preset ratio of the free stream turbulence. The second preset ratio can be set according to actual needs, and the embodiment of the present application does not limit this. For example, the second preset ratio can be set to 1.2, that is, when the wake turbulence is less than 1.2 times the free stream turbulence, it indicates that the simulation is valid.

[0101] (3) Obtain the wind speed at multiple positions before and after the impeller output by the simulation. When the change trends of multiple wind speeds meet the requirements, the simulation results are determined to be valid. The position of the collected wind speed can be determined according to the horizontal distance from the center of the hub, 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. Normally, the wind speed at a position farther away from the center of the hub is at a stable level. Within a range closer to the center of the hub, the wind speed first decreases and then increases as the distance shortens. When the wind speed at multiple positions before and after the impeller output by the simulation meets the above change trend, it indicates that the simulation results are valid.

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

[0103] S103: Acquire first actual wind parameter data of the free flow position and second actual wind parameter data of the target position point under various working conditions, and determine a second correction parameter based on the first actual wind parameter data and the second actual wind parameter data.

[0104] After 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 correction parameter obtained by simulation can also be corrected according to the correction parameter under actual working conditions.

[0105] Since simulation can configure multiple working conditions according to requirements, and the working conditions of wind turbines in actual operation are limited, they may not correspond to the simulated working conditions one by one. Based on this, multiple simulation working conditions can be classified according to the working conditions under simulation, and multiple categories of working conditions can be determined. Then, one or more working conditions in actual operation can be determined according to each category of simulation working conditions, and the actual wind parameter data corresponding to one or more working conditions in each category can be obtained.

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

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

[0108] Specifically, the wind turbine generator set is controlled to actually operate under various simulated working conditions. Among them, the various working conditions can be multiple working conditions after classification. That is, for any working condition under the simulation, it is determined that the actual working condition is the same as the simulated working condition, and the wind turbine generator set is controlled to operate under the actual working condition, and the first actual wind parameter data of the free flow position of the wind turbine generator set and the second actual wind parameter data of the target position point are obtained. Among them, the target position point is the same as the target position point in the simulation working condition. Since it is impossible to directly measure the wind parameter data of the free flow position of the wind turbine generator set, the wind parameter data under the free flow can be measured by a wind tower as the first actual wind parameter data of the free flow position of the wind turbine generator set. Due to the high equipment cost of the wind tower, it is usually impossible to use the wind tower for measurement in actual applications. Instead, the wind parameter data of the free flow position is inferred and calculated based on the wind parameter data of the target position point.

[0109] After determining the first actual wind parameter data and the second actual wind parameter data, the second correction parameter can be determined based on the first actual wind parameter data and the second actual wind parameter data. Among them, 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 methods of determining the first correction parameter and the second correction parameter need to match, 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, for the convenience of viewing, a first correction parameter table can be established according to the first correction parameters under various working conditions. Similarly, for the convenience of viewing and comparison 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 multiple 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 the corrected first correction parameter.

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

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

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

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

[0116] After the corrected first correction parameter is obtained, the subsequent wind turbine generator set can correct the wind parameter data measured by the sensor according to the corrected first correction parameter when operating under the target operating condition.

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

[0118] Through the method provided in the embodiment of the present application, a simulation can be performed on a wind turbine generator set to obtain correction parameters between the wind parameter data of the target position point (sensor) and the wind parameter data of the free flow position, and the correction parameters obtained by simulation can be corrected according to the correction parameters obtained from the actual operating conditions. In subsequent practical applications, the wind parameter data of the free flow position can be calculated more accurately according to the correction parameters and the wind parameter data obtained by measurement.

[0119] Based on the above method embodiment, the present application embodiment provides a system for correcting wind parameter data of a wind turbine generator set. Figure 6 , Figure 6 A schematic diagram of a system for correcting wind parameter data of a wind turbine generator set provided in an embodiment 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 parameter correction unit 605, and a search and determination unit 606;

[0121] The parameter acquisition unit 601 is used to acquire basic parameter information of the wind turbine generator set, for example, including the model, blade model, frame model, head model, generator model, etc.;

[0122] A simulation modeling unit 602, configured to simulate multiple operating conditions of the wind turbine generator set based on basic parameter information of the wind turbine generator set;

[0123] The simulation data analysis unit 603 is used to verify the validity of the simulation results; determine the first simulation wind parameter data of the free flow position of the wind turbine generator set under various working conditions and the second simulation wind parameter data of the target position point 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;

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

[0125] A correction parameter unit 605, configured to correct the first correction parameter based on the second correction parameter to determine a corrected first correction parameter;

[0126] The search and determination unit 606 is used 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 embodiment of the present application can be found in the above method embodiment, which will not be repeated here.

[0128] Based on the above method embodiment and system embodiment, the present application embodiment provides a device for correcting wind parameter data of a wind turbine generator set. Figure 7 , Figure 7 A schematic diagram of a device for correcting wind parameter data of a wind turbine generator set provided in an embodiment of the present application.

[0129] The apparatus 700 comprises:

[0130] A simulation unit 701, configured to simulate multiple operating conditions of the wind turbine generator set based on basic parameter information of the wind turbine generator set;

[0131] A first determination unit 702 is used to determine first simulation wind parameter data of the free flow position of the wind turbine generator set and second simulation wind parameter data of the target position point under various working conditions based on the simulation results, and determine a 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 used to 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 the various working conditions, and determine the second correction parameter based on the first actual wind parameter data and the second actual wind parameter data;

[0133] A first correction unit 704, configured to correct the first correction parameter based on the second correction parameter to determine a corrected first correction parameter;

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

[0135] In a possible implementation, the second correction unit 705 is specifically used to obtain wind parameter data corresponding to a target position point of the target wind turbine generator set when the target wind turbine generator set operates under a target operating condition; determine a target simulation operating condition corresponding to the target operating condition, and determine a correction parameter corresponding to the target simulation operating condition; and determine the wind parameter data of the free flow position based on the correction parameter and the wind parameter data, so as to perform load evaluation based on the wind parameter data of the free flow position.

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

[0137] Working condition configuration: simulate at least one of wind speed, impeller speed, pitch angle, impeller azimuth, wind angle, and inflow angle; measuring point configuration: preset position coordinates of anemometer and wind vane; boundary conditions: at least one of velocity inlet conditions, pressure outlet conditions, and wall boundary conditions; blade working condition configuration: when the blade rotates, configure the virtual disk model VDM to simulate the blade; when the blade is stationary, configure the 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 stream position of the wind turbine generator set under various working conditions, the verification unit is used to verify the validity of the simulation results; the verification of the validity of the simulation results includes one or more of the following: obtaining the wake velocity of the wind turbine generator set output by simulation, and determining that the simulation result is valid when the wake velocity is greater than a first preset proportion of the inlet wind speed; or, obtaining the wake turbulence of the wind turbine generator set output by simulation, and determining that the simulation result is valid when the wake turbulence is less than a second preset proportion of the free stream turbulence; or, obtaining the wind speed at multiple positions before and after the impeller output by simulation, and determining that the simulation result is valid when the change trends of multiple wind speeds meet the requirements.

[0140] In a possible implementation, the device further includes: an establishing unit;

[0141] The establishing unit is used to establish an associated data table based on the first simulated wind parameter data and the second simulated wind parameter data under the various working conditions.

[0142] In a possible implementation, the establishing unit is further used to establish a first correction parameter table based on the first correction parameters under the various working conditions; and to establish a second correction parameter table based on the second correction parameters under the various 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 to 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; and to correct the first correction parameter table based on the correction relationship model to determine a corrected first correction parameter table.

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

[0146] In a possible implementation, the target position point includes: at least one of an anemometer, a wind vane, and an ultrasonic wind measurement location; and the free flow position includes: a position 2.5D in front of an impeller.

[0147] Based on this, the embodiment of the present application further provides a device for correcting wind parameter data of a wind turbine generator set, which will be described below in conjunction with the accompanying drawings.

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

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

[0150] The memory 801 is used to store relevant program codes;

[0151] The processor 802 is used to call the program code to execute the method for correcting the wind parameter data of the wind turbine generator set described in the above method embodiment.

[0152] In addition, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method for correcting wind parameter data of a wind turbine generator set described in the above method embodiment.

[0153] It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the various embodiments can refer to each other. In particular, for the system or device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The device embodiment described above is only exemplary, in which the units or modules described as separate components may or may not be physically separated, and the components displayed as units or modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units, and some or all of the units or modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative work.

[0154] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0155] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0156] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0157] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for correcting wind parameter data of a wind turbine generator set, characterized in that: The method comprises: Simulating multiple operating conditions of the wind turbine generator set based on basic parameter information of the wind turbine generator set; Determine first simulation wind parameter data of the free flow position of the wind turbine generator set under various working conditions and second simulation wind parameter data of the target position point based on the simulation results, and determine a first correction parameter based on the first simulation wind parameter data and the second simulation wind parameter data; Acquire first actual wind parameter data of the free flow position and second actual wind parameter data of the target position point under the various working conditions, and determine a second correction parameter based on the first actual wind parameter data and the second actual wind parameter data; Correcting the first correction parameter based on the second correction parameter to determine a corrected first correction parameter; The wind parameter data under the target working condition is corrected based on the corrected first correction parameter.

2. The method according to claim 1, characterized in that The step of correcting the wind parameter data under the target working condition based on the corrected first correction parameter includes: Acquire wind parameter data corresponding to a target position point of the target wind turbine generator set when the target wind turbine generator set is operating under a target operating condition; Determining a target simulation operating condition corresponding to the target operating condition, and determining a correction parameter corresponding to the target simulation operating condition; Based on the correction parameter and the wind parameter data, the wind parameter data of the free flow position is determined so as to perform load evaluation according to the wind parameter data of the free flow position.

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: Working condition configuration: at least one of the following: simulated wind speed, impeller speed, pitch angle, impeller azimuth, wind angle, and inflow angle; Measuring point configuration: preset position coordinates of 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 rotates, a virtual disk model VDM is configured to simulate the blade; when the blade is stationary, a no-slip solid boundary condition is configured.

4. The method according to claim 1, characterized in that: Before determining the first simulation wind parameter data of the free flow position of the wind turbine generator set under various working conditions, the method further includes: Verify the validity of simulation results; The verification of the validity of the simulation results includes one or more of the following: Acquire the wake velocity of the wind turbine generator set output by simulation, and when the wake velocity is greater than a first preset ratio of the inlet wind speed, determine that the simulation result is valid; or, Acquire the wake turbulence of the wind turbine generator set output by simulation, and when the wake turbulence is less than the free stream turbulence of a second preset ratio, determine that the simulation result is valid; or, The wind speeds at multiple positions before and after the impeller are obtained from the simulation output. When the changing trends of the multiple wind speeds meet the requirements, it is determined that the simulation results are valid.

5. The method according to claim 1, characterized in that: The method further comprises: Based on the first simulation wind parameter data and the second simulation wind parameter data under the various working conditions, a correlation data table is established.

6. The method according to claim 1, characterized in that The method further comprises: Establishing a first correction parameter table based on the first correction parameters under the various working conditions; Establishing a second correction parameter table based on the second correction parameters under the various working 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 a corrected first correction parameter table.

7. The method according to claim 6, characterized in that The step of correcting the first correction parameter table based on the second correction parameter table to determine a corrected first correction parameter table includes: Establishing a correction relationship model 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 a corrected first correction parameter table.

8. The method according to claim 1, characterized in that: The first 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 point includes: at least one of an anemometer, a wind vane and an ultrasonic wind measurement location; The free flow position includes: a position 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 comprises: A simulation unit, used for simulating multiple working conditions of the wind turbine generator set based on basic parameter information of the wind turbine generator set; A first determination unit is used to determine first simulation wind parameter data of the free flow position of the wind turbine generator set and second simulation wind parameter data of the target position point under various working conditions based on the simulation results, and determine a first correction parameter based on the first simulation wind parameter data and the second simulation wind parameter data; A second determination unit is used to obtain first actual wind parameter data of the free flow position under each working condition and second actual wind parameter data of the target position point, and determine a second correction parameter based on the first actual wind parameter data and the second actual wind parameter data; A first correction unit, configured to correct the first correction parameter based on the second correction parameter to determine a corrected first correction parameter; The second correction unit is used to correct the wind parameter data under the target working 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 comprises: a memory and a processor; The memory is used to store relevant program codes; The processor is used to call the program code to execute the method for correcting wind parameter data of a wind turbine generator set 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, and the computer program is used to execute the method for correcting wind parameter data of a wind turbine generator set according to any one of claims 1 to 9.

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