Variable pitch anti-vortex effect detection method and device and wind turbine

Abstract

The application provides a kind of variable pitch anti-vortex effect detection method, device and wind driven generator, the method comprises: the swing transient process of anti-vortex blade is carried out fluid dynamics simulation calculation, obtains its aerodynamic drag time series data in swing direction;Aerodynamic drag time series data is carried out multiple regression analysis, determines the interactive influence of blade root swing amplitude and incoming wind speed on the aerodynamic drag of anti-vortex blade, determines the aerodynamic drag mathematical model of anti-vortex blade;Aerodynamic drag mathematical model and the equivalent dynamic model of wind driven generator are coupled, to calculate the vibration attenuation of anti-vortex blade before and after joining aerodynamic drag, form vibration attenuation effect comparison chart.The application can effectively predict the variable pitch anti-vortex effect of wind driven generator by modeling the aerodynamic drag of anti-vortex blade and coupling calculation with the structural dynamic model of wind driven generator, which is lower in cost compared to field test and wind tunnel model test, but more accurate than engineering algorithm.

Description

Technical Field

[0001] This invention relates to the field of new energy technology, and in particular to a method, device and wind turbine for detecting the anti-vortex effect of pitch control. Background Technology

[0002] Vortex-induced vibration, also known as vortex-induced vibration, is a wind-induced vibration phenomenon that occurs at low wind speeds. From a fluid dynamics perspective, any non-streamlined object, under a certain constant flow velocity, will generate alternating vortices that detach from the surface of the structure on both sides of the object. The probability of vortex-induced vibration occurring when a wind turbine (hereinafter referred to as a wind turbine) is relatively low during operation; if it does occur, it can be mitigated by yawing to meet the wind. For wind turbines operating without power, the probability of vortex-induced vibration is relatively high, and yawing to meet the wind is not possible. Adjusting the blades to a specific pitch angle to increase the aerodynamic damping of the wind turbine has become a means of suppressing vortex-induced vibration.

[0003] Currently, anti-vortex effect testing is mainly carried out through field tests and wind tunnel model tests. Each test requires a lot of manpower and resources, resulting in high costs. There are also records of using engineering algorithms to test anti-vortex effect, but their detection accuracy is low and they cannot provide effective data support on how to adjust the pitch angle and azimuth angle of the anti-vortex blades to provide sufficient aerodynamic drag to suppress vortex vibration.

[0004] How to quickly and accurately detect the anti-vortex effect after each adjustment of the pitch angle and azimuth angle of the anti-vortex blades, so as to provide data support for the effective yaw range of pitch control to suppress vortex vibration, is a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0005] This invention provides a method, apparatus, and wind turbine for detecting the anti-vortex effect of pitch control, which solves the shortcomings of existing anti-vortex effect detection technologies that are either costly, cumbersome, or have low accuracy, and enables rapid and accurate detection of the anti-vortex effect.

[0006] In a first aspect, the present invention provides a method for detecting the anti-vortex effect of pitch control, comprising: performing fluid dynamics simulation calculations on the oscillation transient process of the anti-vortex blades of a wind turbine generator, and obtaining the aerodynamic drag time series data of the anti-vortex blades in the oscillation direction;

[0007] Multiple regression analysis was performed on the aerodynamic drag time series data to determine the interactive influence of blade root oscillation and incoming air velocity on the aerodynamic drag of the anti-vortex blade, and a mathematical model of the aerodynamic drag of the anti-vortex blade was constructed.

[0008] The aerodynamic drag mathematical model is coupled with the equivalent dynamic model of the wind turbine to calculate the vibration attenuation of the anti-vortex blade before and after the aerodynamic drag is added, forming a comparison diagram of vibration attenuation effect.

[0009] According to the pitch anti-vortex effect detection method provided by the present invention, the step of performing hydrodynamic simulation calculations on the oscillation transient process of the anti-vortex blades of a wind turbine to obtain the aerodynamic drag time-series data of the anti-vortex blades in the oscillation direction includes:

[0010] Using the root oscillation amplitude and incoming wind speed of the anti-vortex blade as experimental factors, and the aerodynamic drag experienced by the anti-vortex blade in the oscillation direction as the response, a fluid dynamics simulation scheme is formulated based on the surface response method.

[0011] A hydrodynamic model of the anti-vortex blade is established to obtain the aerodynamic drag time series data of the anti-vortex blade in the swing direction based on the working condition combination in the hydrodynamic simulation scheme.

[0012] The operating condition combination includes a combination of factors such as the blade root sway of the anti-vortex blade and the incoming wind speed.

[0013] According to the method for detecting the anti-vortex effect of pitch control blades provided by the present invention, the step of establishing a hydrodynamic model of the anti-vortex blades, and obtaining the aerodynamic drag time-series data of the anti-vortex blades in the oscillation direction based on the working condition combination in the hydrodynamic simulation scheme, includes:

[0014] Based on the shape parameters of the anti-vortex blade, multiple airfoil sections are cut along the blade span.

[0015] The oscillation of the anti-vortex blades caused by the vortex vibration of the wind turbine tower is approximated as a rigid reciprocating rotation, so as to calculate the oscillation amplitude of each airfoil section based on the azimuth angle of the anti-vortex blades, the spanwise position of each airfoil section, and the blade root oscillation amplitude.

[0016] A two-dimensional hydrodynamic model is established for each of the airfoil sections to calculate the inflow angle of attack for each airfoil section;

[0017] The swinging process of each airfoil section is simulated based on dynamic mesh technology, and the aerodynamic drag data of each airfoil section under each working condition combination is obtained through transient fluid dynamics calculation.

[0018] Integrate the aerodynamic drag data of all airfoil sections along the blade span to obtain the aerodynamic drag time series data of the anti-vortex blade in the oscillation direction.

[0019] According to the method for detecting the anti-vortex effect of pitch control blades provided by the present invention, the step of establishing a hydrodynamic model of the anti-vortex blades, and obtaining the aerodynamic drag time-series data of the anti-vortex blades in the oscillation direction based on the working condition combination in the hydrodynamic simulation scheme, includes:

[0020] Based on the shape parameters of the anti-vortex blade and the incoming wind direction, a three-dimensional fluid dynamics model is established. The three-dimensional fluid dynamics model includes an internal flow field and an external flow field. Data transfer between the internal flow field and the external flow field is achieved through a non-common node interface.

[0021] The anti-vortex blade oscillation caused by the vortex vibration of the wind turbine tower is simulated by a sliding mesh model; the sliding mesh model moves in a reciprocating oscillation mode, with the center of the oscillation being the bottom center of the tower.

[0022] Based on the oscillation frequency of the anti-vortex blade and the blade root oscillation amplitude under each operating condition combination, the angular velocity variation function of the slip grid model is constructed, and the aerodynamic drag time series data of the anti-vortex blade in the oscillation direction is obtained through transient fluid dynamics calculation.

[0023] According to the pitch anti-vortex effect detection method provided by the present invention, the cross section of the three-dimensional fluid dynamics model is fan-shaped, the radius of the bottom arc surface of the three-dimensional fluid dynamics model is equal to the center height of the hub of the wind turbine, and the bottom of the tower is taken as the center.

[0024] The radius of the top arc surface of the inner flow field is at least greater than the sum of the length of the anti-vortex blade and the height of the hub center; the fan-shaped surfaces on both sides of the outer flow field are respectively set as the inlet and outlet of the three-dimensional fluid dynamics model.

[0025] According to a method for detecting the anti-vortex effect of pitch blades provided by the present invention, multiple regression analysis is performed on the aerodynamic drag time series data to determine the interactive influence of blade root yaw and incoming wind speed on the aerodynamic drag of the anti-vortex blade, and a mathematical model of the aerodynamic drag of the anti-vortex blade is constructed, including:

[0026] The aerodynamic drag of the anti-vortex blade in the oscillation direction is expressed using a sine function;

[0027] A multivariate regression analysis was performed on the working condition combinations in the fluid dynamics simulation scheme to establish a mathematical model between the blade root sway and the incoming air velocity and the amplitude and amplitude shift of the sine function.

[0028] The mathematical model relating the blade root sway and incoming air velocity to the amplitude and amplitude shift of the sine function is substituted into the sine function to obtain the aerodynamic drag mathematical model.

[0029] According to a method for detecting the anti-vortex effect of pitch control provided by the present invention, the aerodynamic drag mathematical model is coupled with the equivalent dynamic model of the wind turbine, including:

[0030] Substitute the aerodynamic drag mathematical model into the equivalent dynamic model to obtain the vibration coupling model;

[0031] Without considering the vortex-resistant effect of the pitch-based anti-vortex blades, the vibration coupling model is solved based on the Runge-Kutta method to calculate the vibration before the aerodynamic drag is added, and a vibration effect diagram is generated.

[0032] After determining that the amplitude of the anti-vortex blade is stable, the aerodynamic drag of the anti-vortex blade is introduced when solving the vibration coupling model, and the vibration attenuation after adding the aerodynamic drag is calculated on the vibration effect diagram.

[0033] According to the method for detecting the anti-vortex effect of pitch control provided by the present invention, the vibration attenuation effect comparison diagram includes:

[0034] At least one of the following: a comparison diagram of amplitude attenuation effect of the anti-vortex blade, a comparison diagram of vibration velocity attenuation, and a comparison diagram of vibration acceleration attenuation.

[0035] According to the pitch anti-vortex effect detection method provided by the present invention, after coupling the aerodynamic drag mathematical model with the equivalent dynamic model of the wind turbine to calculate the vibration of the anti-vortex blade before and after the aerodynamic drag is added, and forming a vibration attenuation effect comparison chart, the method further includes:

[0036] Based on the vibration attenuation effect comparison diagram, adjust the pitch angle of the anti-vortex blades.

[0037] Secondly, the present invention also provides a pitch anti-vortex effect testing device, comprising:

[0038] The data simulation unit is used to perform fluid dynamics simulation calculations on the oscillation transient process of the anti-vortex blades of the wind turbine, and to obtain the aerodynamic drag time series data of the anti-vortex blades in the oscillation direction.

[0039] The data modeling unit is used to perform multivariate regression analysis on the aerodynamic drag time series data, determine the interactive influence of blade root oscillation and incoming airflow speed on the aerodynamic drag of the anti-vortex blade, and construct the aerodynamic drag mathematical model of the anti-vortex blade.

[0040] The detection and calculation unit is used to couple the aerodynamic drag mathematical model with the equivalent dynamic model of the wind turbine to calculate the vibration attenuation of the anti-vortex blade before and after the aerodynamic drag is added, and to form a comparison diagram of vibration attenuation effect.

[0041] Thirdly, the present invention provides a wind turbine generator, including a generator body, wherein an anti-vortex detection processor is disposed in the generator body; and further including a memory and a program or instructions stored in the memory and executable on the anti-vortex detection processor, wherein when the program or instructions are executed by the anti-vortex detection processor, the pitch anti-vortex effect detection method as described in any of the first aspects is performed.

[0042] Fourthly, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the pitch anti-vortex effect detection method as described in any of the first aspects.

[0043] Fifthly, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the pitch anti-vortex effect detection method as described in any of the first aspects.

[0044] The pitch anti-vortex effect detection method, device and wind turbine provided by the present invention, by modeling the aerodynamic drag of the anti-vortex blades and then coupling it with the structural dynamics model of the wind turbine, can effectively predict the pitch anti-vortex effect of the wind turbine. It is lower in cost than field testing and wind tunnel model test, but more accurate than engineering algorithms. Attached Figure Description

[0045] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0046] Figure 1 This is a flowchart illustrating the pitch anti-vortex effect detection method provided by the present invention;

[0047] Figure 2 This is a schematic diagram of different azimuth angles of the anti-vortex blade provided by the present invention;

[0048] Figure 3 This is an equivalent simplified schematic diagram of the anti-vortex blade oscillation caused by tower vortex vibration, provided by the present invention;

[0049] Figure 4 This is a schematic diagram of selecting the airfoil section position in the two-dimensional CFD analysis provided by the present invention;

[0050] Figure 5 This is a schematic diagram of the flow field mesh in two-dimensional CFD analysis provided by the present invention;

[0051] Figure 6 This is a timing diagram of aerodynamic drag for different airfoil sections provided by the present invention;

[0052] Figure 7 This is a schematic diagram of the aerodynamic drag of the entire blade obtained by integrating the calculation results of the airfoil section provided by the present invention;

[0053] Figure 8This is a schematic diagram of flow field modeling for the three-dimensional CFD analysis method provided by the present invention;

[0054] Figure 9 This is a schematic diagram of the anti-vortex effect of the pitch control provided by the present invention;

[0055] Figure 10 This is a schematic diagram of the structure of the pitch anti-vortex effect testing device provided by the present invention;

[0056] Figure 11 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0058] It should be noted that in the description of the embodiments of the present invention, 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. The terms "upper," "lower," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. Unless otherwise expressly specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly, for example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two elements. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0059] The following is combined with Figures 1-11 This invention describes the pitch anti-vortex effect testing method, apparatus, and wind turbine provided in the embodiments of the present invention.

[0060] Figure 1This is a flowchart illustrating the pitch control anti-vortex effect testing method provided by the present invention, as shown below. Figure 1 As shown, including but not limited to the following steps:

[0061] Step 101: Perform fluid dynamics simulation calculations on the oscillation transient process of the anti-vortex blade of the wind turbine to obtain the aerodynamic drag time series data of the anti-vortex blade in the oscillation direction.

[0062] Among them, computational fluid dynamics (CFD) is a product of combining fluid mechanics, numerical mathematics and computer science. It is a computational method that approximates the integral and differential terms in the governing equations of fluid mechanics as discrete algebraic forms, making them a system of algebraic equations, and then uses a computer to solve these discrete algebraic equations to obtain numerical solutions at discrete time / space points.

[0063] The pitch anti-vortex effect detection method provided by the present invention uses CFD simulation analysis to simulate the swing process of the anti-vortex blade (hereinafter referred to as blade) of the wind turbine, thereby obtaining the aerodynamic drag (which can also be understood as aerodynamic load) borne by the anti-vortex blade in the swing direction in time sequence and recording it as aerodynamic drag time sequence data.

[0064] Among them, the CFD simulation analysis method is used to simulate the oscillation process of the anti-vortex blade of the wind turbine (hereinafter referred to as the blade). The main purpose is to establish a CFD flow field model of the entire blade and calculate the aerodynamic drag of the blade at each oscillation time point by simulating different working conditions in the experimental design scheme.

[0065] It should be noted that the pitch anti-vortex effect testing method provided by this invention is mainly for wind turbines equipped with anti-vortex blades. Anti-vortex blades refer to blades that can suppress vortex-induced vibrations by adjusting the pitch angle to provide sufficient aerodynamic drag, and are currently the mainstream choice for wind turbines.

[0066] Step 102: Perform multivariate regression analysis on the aerodynamic drag time series data to determine the interactive influence of blade root sway and incoming airflow speed on the aerodynamic drag of the anti-vortex blade, and construct a mathematical model of the aerodynamic drag of the anti-vortex blade.

[0067] Specifically, this invention uses multivariate regression analysis on the simulation results of aerodynamic drag time series data to comprehensively determine the combined influence (also known as interactive influence) of factors such as blade oscillation amplitude and incoming wind speed on the aerodynamic drag of the entire blade, so as to establish a mathematical model of the aerodynamic drag of the entire blade.

[0068] Multiple regression analysis, based on multiple linear regression, is an experimental design method that actively collects data to obtain regression equations with better properties. For example, the response surface methodology (RSM) model, a type of multiple regression analysis, is a result of the close integration of statistics, mathematics, and computer science. Because it considers many factors and involves complex calculations beyond the capabilities of manual computation, it can be modeled using computers. Since it establishes a complex multidimensional surface that closely approximates reality, response surface regression models have gradually gained widespread application.

[0069] Step 103: Couple the aerodynamic drag mathematical model with the equivalent dynamic model of the wind turbine to calculate the vibration attenuation of the anti-vortex blade before and after the aerodynamic drag is added, and form a comparison diagram of vibration attenuation effect.

[0070] Furthermore, by coupling the aerodynamic drag mathematical model related to the blades with the equivalent dynamic model of the wind turbine, the vibration attenuation effect of the anti-vortex blades before and after the aerodynamic drag is added can be determined.

[0071] To provide users with a more intuitive demonstration of the vibration attenuation reduction effect of anti-vortex blades, this invention can calculate comparison charts of displacement attenuation effect, velocity attenuation effect, and acceleration attenuation effect.

[0072] The pitch anti-vortex effect detection method provided by this invention models the aerodynamic drag of the anti-vortex blades and then couples it with the structural dynamics model of the wind turbine generator for calculation. It can effectively predict the pitch anti-vortex effect of the wind turbine generator. Compared with field testing and wind tunnel model test, it is lower in cost but more accurate than engineering algorithms.

[0073] Based on the above embodiments, as an optional embodiment, the step of performing fluid dynamics simulation (CFD simulation) calculations on the oscillation transient process of the anti-vortex blades of a wind turbine to obtain the aerodynamic drag time-series data of the anti-vortex blades in the oscillation direction includes:

[0074] Using the root oscillation amplitude and incoming wind speed of the anti-vortex blade as test factors, and the aerodynamic drag experienced by the anti-vortex blade in the oscillation direction as the response, a CFD simulation scheme is formulated based on the surface response method.

[0075] A CFD model of the anti-vortex blade is established to obtain the aerodynamic drag time series data of the anti-vortex blade in the swing direction based on the working condition combination in the CFD simulation scheme.

[0076] The operating condition combination includes a combination of factors such as the blade root sway of the anti-vortex blade and the incoming wind speed.

[0077] Before conducting pitch control anti-vortex effect testing, a CFD simulation scheme can be pre-determined, including determining the parameter combinations for each simulation condition in the CFD simulation scheme.

[0078] This invention enables the development of fluid dynamics simulation schemes based on the response surface methodology (RSM). RSM, also known as regression design, is a statistical experimental design for optimizing eddy current processes. It uses this method to establish a continuous variable surface model, evaluate the experimental factors affecting the eddy current process and their interactions, and determine the optimal level range. RSM primarily relies on computer calculations to build the model, thus requiring relatively few experimental groups and saving manpower and resources.

[0079] The aforementioned RSM can specifically employ the Central Composite Design (CCD) method. The main experimental factors include blade root oscillation and incoming air velocity, and the experimental response is the aerodynamic drag experienced by the blade in the oscillation direction.

[0080] The factor levels (or simply levels) of the simulation experiments are shown in Table 1:

[0081] Table 1. List of Factor Levels in Simulation Experiments

[0082] -1.414 level -1 level Level 0 +1 level +1.414 level Incoming wind speed 0m / s 1m / s 3.5m / s 6m / s 7m / s Leaf root sway 0m 0.25m 1m 1.75m 2m

[0083] Based on the above list of factor levels, the operating condition combinations for the simulation experiment can be designed as shown in Table 2:

[0084] Table 2 List of various working condition combinations

[0085]

[0086] As an optional implementation, the parameter combination in the CFD simulation scheme includes two factors: incoming wind speed and blade root oscillation. The range of incoming wind speed corresponds to the critical wind speed range for the tower to experience first-order vortex-induced vibration, and can be estimated using empirical formulas.

[0087]

[0088] Where f is the first-order natural frequency of the tower; D is the characteristic diameter, which can be taken as the diameter at 1 / 3 of the tower height and at the top of the tower, respectively; S t It is a Strauhall number.

[0089] The blade root sway is estimated to range from 0 to 2 m. Furthermore, it is approximated that the sway at the tower top and the sway at the hub center are equal to the blade root sway.

[0090] Furthermore, CFD simulation analysis can be performed based on the various operating condition combinations designed in the CFD simulation scheme to obtain the aerodynamic drag time series data of the blade in the swing direction.

[0091] Because the blades are positioned at different azimuth angles, the oscillations caused by tower vortex-induced vibrations are also different. In addition, the blade pitch angle and the yaw angle of the wind turbine (i.e., the incoming wind direction angle) are also significant factors affecting pitch control and vortex resistance.

[0092] Figure 2 This is a schematic diagram of the anti-vortex blades provided by the present invention at different azimuth angles. Figure 3 This is an equivalent simplified schematic diagram of the anti-vortex blade oscillation caused by tower vortex vibration provided by the present invention. For example, the state of the vortex blade at any given moment is as follows: Figure 2 as well as Figure 3 As shown, assuming the blade's azimuth angle is 0°, the blade pitch angle is 0°, the incoming wind direction angle is -90°, and the tower's vortex vibration direction is perpendicular to the rotor plane, the aerodynamic drag of the anti-vortex blade at this moment can be calculated. For ease of explanation, subsequent aerodynamic drag calculations will all use this moment as an example.

[0093] As an optional embodiment, the above-mentioned establishment of a hydrodynamic model for the anti-vortex blade, to obtain the aerodynamic drag time series data of the anti-vortex blade in the swing direction based on the working condition combination in the hydrodynamic simulation scheme, may include, but is not limited to, the following steps:

[0094] Based on the shape parameters of the anti-vortex blade, multiple airfoil sections are cut along the blade span.

[0095] The oscillation of the anti-vortex blades caused by the vortex vibration of the wind turbine tower is approximated as a rigid reciprocating rotation. The oscillation amplitude of each airfoil section is calculated based on the azimuth angle of the anti-vortex blades, the spanwise position of each airfoil section, and the blade root oscillation amplitude.

[0096] A two-dimensional hydrodynamic model for each airfoil section is established to calculate the inflow angle of attack for each airfoil section;

[0097] The oscillation process of each airfoil section is simulated based on dynamic mesh technology, and the aerodynamic drag data of each airfoil section under each working condition combination is obtained through transient fluid dynamics calculation.

[0098] Integrate the aerodynamic drag data of all airfoil sections along the blade span to obtain the time-series data of aerodynamic drag of the anti-vortex blade in the oscillation direction.

[0099] In general, this invention provides a method for calculating the aerodynamic drag of anti-vortex blades using two-dimensional CFD analysis, and the specific implementation method is as follows:

[0100] Figure 4This is a schematic diagram of selecting the airfoil section position in the two-dimensional CFD analysis provided by the present invention, as shown below. Figure 4 As shown, the entire blade can be divided into several airfoil sections along the blade span (i.e., from the blade root to the blade tip) based on the blade's geometric parameters (such as chord length, twist angle, and relative thickness).

[0101] It should be noted that for regions where the shape parameters such as chord length, twist angle and relative thickness change drastically, the number of airfoil sections should be appropriately increased, while for regions where the shape parameters change more gradually, a larger airfoil section spacing can be set.

[0102] Taking operating conditions 9-13 listed in Table 2 above as examples, the factor level number of the incoming air velocity is 0, and according to Table 1, the corresponding value of the incoming air velocity is 3.5 m / s; the factor level number of the blade root sway is 0, and according to Table 1, the corresponding value of the blade root sway is 1 meter.

[0103] Therefore, if the oscillation of the blades caused by the vortex-induced vibration of the wind turbine tower is approximated as a rigid reciprocating rotation, the oscillation amplitude (or oscillation range) of each airfoil section can be estimated based on the spanwise position of each airfoil section.

[0104] Table 3 lists the swing amplitude estimated by combining the spanwise position of the airfoil section.

[0105]

[0106] Table 3 is a list of swing amplitudes estimated by combining the spanwise position of the airfoil section, where H is the hub center height. The swing amplitude of each airfoil section can be calculated based on the blade root swing amplitude (i.e., rotation radius) at the location of each airfoil section.

[0107] Figure 5 This is a schematic diagram of the flow field mesh in the two-dimensional CFD analysis provided by this invention. After exporting the geometric data of each airfoil section, a two-dimensional CFD simulation model is established. Taking Fluent software as an example, the solver is as follows: Figure 5 As shown, the oscillation of each airfoil section is simulated using dynamic mesh technology. The oscillation parameters (amplitude and oscillation frequency) of the airfoil section can be described by a sine function, and the motion of the mesh is controlled by the UDF's CG_MOTION macro.

[0108] It should be noted that when meshing, a sufficient number of boundary layer meshes need to be set on the surface of each airfoil section. The height of the first boundary layer mesh is determined by estimating the Reynolds number of the airfoil section and aiming for Y+ to be less than 1. Here, Y+ is a basic indicator used in this field to measure whether the boundary layer mesh thickness is appropriate.

[0109] In CFD simulation calculations, the inflow angle of attack of each airfoil section can be determined based on the incoming wind direction angle of the wind turbine, the twist angle at the blade position of the airfoil section, and the blade pitch angle.

[0110] Figure 6 This is a time-series diagram illustrating the aerodynamic drag of different airfoil sections provided by this invention. After determining the inflow angle of attack for each airfoil section, the parameters can be set based on the incoming wind speed and airfoil oscillation amplitude in the CFD example. The blade oscillation is simulated using a moving mesh or sliding mesh technique, and the blade oscillation frequency is consistent with the first-order natural frequency of the tower. The turbulence model can employ a k-omega SST or Transition SST model, considering the transition effect, and using a second-order precision difference scheme for unsteady-state calculations. Then, the aerodynamic drag data for each airfoil section is extracted, for example... Figure 6 As shown.

[0111] Figure 7 This is a schematic diagram of the aerodynamic drag of the entire blade obtained by integrating the calculation results of the airfoil section, as provided by the present invention. Figure 7 As shown, by integrating the aerodynamic drag data of each two-dimensional airfoil section along the blade span, the aerodynamic drag time series data of the entire blade in the swing direction can be obtained.

[0112] The above embodiments provide a method for calculating the aerodynamic drag of anti-vortex blades using two-dimensional CFD analysis. As another optional embodiment, the present invention also provides a method for calculating the aerodynamic drag of anti-vortex blades using three-dimensional CFD analysis, including but not limited to the following steps:

[0113] Based on the shape parameters of the anti-vortex blade and the incoming wind direction, a three-dimensional CFD model is established. The three-dimensional CFD model includes an internal flow field and an external flow field. Data transfer between the internal flow field and the external flow field is achieved through a non-common node interface.

[0114] The oscillation of the anti-vortex blades caused by vortex-induced vibration of the wind turbine tower is simulated using a sliding mesh model; the sliding mesh model moves in a reciprocating oscillation mode, with the center of the oscillation being the bottom center of the tower (e.g., ...). Figure 3 (as shown);

[0115] Based on the oscillation frequency of the anti-vortex blade and the blade root oscillation amplitude under each operating condition combination, the angular velocity variation function of the sliding grid model is constructed. Through transient fluid dynamics calculations, the aerodynamic drag time series data of the anti-vortex blade in the oscillation direction are obtained.

[0116] Based on the blade's shape parameters and the incoming airflow direction, a three-dimensional CFD model was established and placed within a three-dimensional flow field with a fan-shaped cross-section. The radius of the bottom arc surface of the three-dimensional flow field is equal to the height of the hub center, with the bottom of the tower as the center.

[0117] Figure 8 This is a schematic diagram of the flow field modeling of the three-dimensional CFD analysis method provided by the present invention, as shown below. Figure 8 As shown, the unit flow field is mainly divided into two regions: the internal flow field and the external flow field.

[0118] In this design, the radius of the top arc surface of the inner flow field must be at least greater than the sum of the blade length and the hub center height (i.e., the blade is completely enveloped by the inner flow field). The fan-shaped surfaces on both sides of the outer flow field are designated as the inlet and outlet of the three-dimensional flow field, respectively. Data transfer between the inner and outer flow fields is achieved through a non-common node interface.

[0119] Furthermore, the simulation of blade oscillation is achieved by setting the internal flow field to reciprocate through a moving mesh model. Based on the rotation radius of the blade root (approximately the height of the hub center), the oscillation frequency of the blade root, and the oscillation amplitude, a rotational speed of the internal flow field defined by a function (such as a sine function) can be obtained.

[0120] It should be noted that in the method of obtaining blade aerodynamic drag through three-dimensional CFD calculation, the selection of turbulence model and numerical difference scheme are the same as those in the two-dimensional CFD calculation method, and will not be elaborated here.

[0121] The pitch-based anti-vortex effect detection method provided by this invention offers two different methods for calculating aerodynamic drag time series data. In the two-dimensional CFD analysis method, the aerodynamic drag experienced by each airfoil section during the oscillation process is obtained. Therefore, it is necessary to integrate the aerodynamic drag of each two-dimensional airfoil section along the blade span. However, when the above-mentioned three-dimensional CFD analysis method is used, the aerodynamic drag experienced by the entire blade during the oscillation process can be directly extracted, which can meet the needs of different users for accurate analysis of the aerodynamic drag received by the anti-vortex blade.

[0122] Based on the above embodiments, as an optional embodiment, the above-mentioned multivariate regression analysis of aerodynamic drag time series data to determine the interactive influence of blade root yaw and incoming airflow velocity on the aerodynamic drag of the anti-vortex blade, and the construction of an aerodynamic drag mathematical model for the anti-vortex blade, includes:

[0123] The aerodynamic drag of the anti-vortex blade in the oscillation direction is expressed using a sine function;

[0124] A multivariate regression analysis was performed on the working condition combinations in the fluid dynamics simulation scheme to establish a mathematical model between the blade root sway and the incoming air velocity and the amplitude and amplitude translation of the sine function.

[0125] By substituting the mathematical model between the blade root sway and the incoming airflow speed and the amplitude and amplitude shift of the sine function into the sine function, the mathematical model of aerodynamic drag is obtained.

[0126] In general, this invention establishes a mathematical model of blade aerodynamic damping force based on CFD simulation results, specifically including the following steps:

[0127] (1) Statistical analysis of the aerodynamic assistant timing data output by the CFD simulation model is performed. The aerodynamic assistant during blade oscillation is approximately represented as a sinusoidal function Asin(ω·t)+k, where: A is the amplitude of blade oscillation, ω is the first-order angular frequency of the tower, and k is called the amplitude translation.

[0128] (2) Perform multiple regression analysis to determine the mathematical relationship between parameters A and k with respect to wind speed and sway amplitude. Substitute these relationships into a sinusoidal function to obtain the mathematical model F describing the aerodynamic damping force of the blade. D (t,x,v).

[0129] Specifically, the aerodynamic drag during blade oscillation can be described by a sine function A sin(ω·t) + k. Through numerical simulations of different operating conditions, the corresponding parameters A and k can be obtained, representing the two responses of the numerical experiment. Through multivariate regression analysis, a mathematical model can be established between parameters A and k and the wind speed V and the oscillation amplitude S.

[0130] A = a1*V + a2*S + a3*V*S + a4*V 2 +a5*S 2 +a6*V 2 *S+a7*V*S 2

[0131] k = b1*V + b2*S + b3*V*S + b4*V 2 +b5*S 2 +b6*V 2 *S+b7*V*S 2

[0132] Substituting the above mathematical model into the sinusoidal function A sin(ω·t)+k, the aerodynamic drag of the blade can be calculated. The resulting mathematical model of aerodynamic drag is denoted as F. D (t,x,v).

[0133] Furthermore, the coupling of the aerodynamic drag mathematical model and the equivalent dynamic model of the wind turbine provided in step 103 includes:

[0134] Substituting the aerodynamic drag mathematical model into the equivalent dynamic model, a vibration coupling model is obtained;

[0135] Without considering the vortex-resistant effect of the pitch-based anti-vortex blades, the vibration coupling model is solved based on the Runge-Kutta method to calculate the vibration attenuation before adding the aerodynamic drag, and a comparison chart of vibration attenuation effects is generated.

[0136] After determining that the amplitude of the anti-vortex blade is stable, when solving the vibration coupling model, the aerodynamic drag of the anti-vortex blade is introduced, and the vibration effect comparison chart after adding the aerodynamic drag is calculated on the vibration effect comparison chart.

[0137] This invention provides a method for determining the amplitude attenuation effect of pitch control after vortex suppression based on structural dynamics analysis, including:

[0138] The wind turbine system is equivalent to a spring-damped oscillator system. Based on this, the structural dynamics equations of the system are established. Then, the aerodynamic drag mathematical model F established in the above embodiment is used. D Substituting (t,x,v) into the equivalent dynamic model of the wind turbine, we can obtain the following vibration coupling model:

[0139]

[0140] Among them, F T (t) represents the sinusoidal excitation force (with frequency ω), ζ t The damping ratio of the wind turbine system (typically ranging from 0.002 to 0.005), m t Let x be the modal mass of the system, and let x be the amplitude (m) of the blade. The velocity (m / s) obtained by taking the first derivative of the amplitude is... The corresponding acceleration (m / s²) obtained by taking the second derivative of the amplitude 2 ).

[0141] Figure 9 This is a schematic diagram of the anti-vortex effect of the pitch control provided by the present invention, as shown below. Figure 9 As shown, the fourth-order Runge-Kutta method can be used to solve the above vibration coupling model. Taking the amplitude attenuation effect as an example, the specific solution process includes the following steps:

[0142] First, without considering the vortex-resistant effects of blade pitch, the dynamic model is solved to calculate the vibration attenuation before the aerodynamic drag is added, generating a comparison chart of vibration attenuation effects. Figure 9 Amplitude attenuation effect diagram (also known as displacement attenuation effect diagram) 2500s ago.

[0143] After the amplitude stabilizes at a certain level, the aerodynamic drag of the anti-vortex blade is added starting from 2500s to obtain the amplitude attenuation effect diagram after adding the aerodynamic drag.

[0144] Finally, by stitching together the vibration effect comparison diagrams before and after the addition of aerodynamic drag, a complete comparison diagram of the amplitude attenuation effect of the anti-vortex blade can be obtained.

[0145] Similarly, the above methods can also be used to obtain comparison charts of vibration velocity attenuation effect and vibration acceleration attenuation effect.

[0146] The pitch anti-vortex effect detection method provided by the present invention, after coupling the aerodynamic drag mathematical model with the equivalent dynamic model of the wind turbine to calculate the vibration attenuation of the anti-vortex blade before and after the addition of aerodynamic drag and forming a vibration attenuation effect comparison chart, further includes: adjusting the pitch angle of the anti-vortex blade according to the vibration attenuation effect comparison chart.

[0147] This invention can adjust the pitch angle of the anti-vortex blades in a timely manner based on the real-time generated vibration attenuation effect comparison diagram, thereby increasing the aerodynamic drag of the wind turbine, thus improving the effect of suppressing vortex vibration, and further improving the working stability of the wind turbine and increasing the power generation efficiency.

[0148] Figure 10 This is a schematic diagram of the pitch anti-vortex effect testing device provided by the present invention, as shown below. Figure 10 As shown, it mainly includes: a data simulation unit 11, a data modeling unit 12, and a detection calculation unit 13, wherein:

[0149] The data simulation unit 11 is used to perform fluid dynamics simulation calculations on the oscillation transient process of the anti-vortex blade of the wind turbine, and to obtain the aerodynamic drag time series data of the anti-vortex blade in the oscillation direction.

[0150] The data modeling unit 12 is used to perform multivariate regression analysis on the aerodynamic drag time series data, determine the interactive influence of blade root sway and incoming airflow speed on the aerodynamic drag of the anti-vortex blade, and construct the aerodynamic drag mathematical model of the anti-vortex blade.

[0151] The detection and calculation unit 13 is used to couple the aerodynamic drag mathematical model with the equivalent dynamic model of the wind turbine to calculate the vibration attenuation of the anti-vortex blade before and after the aerodynamic drag is added, and to form a comparison diagram of vibration attenuation effect.

[0152] It should be noted that the pitch anti-vortex effect detection device provided in this embodiment of the invention can execute the pitch anti-vortex effect detection method described in any of the above embodiments during specific operation, and this embodiment will not elaborate on this.

[0153] The pitch anti-vortex effect detection device provided by this invention models the aerodynamic drag of the anti-vortex blades and then couples it with the structural dynamics model of the wind turbine to perform calculations. It can effectively predict the pitch anti-vortex effect of the wind turbine. Compared with field testing and wind tunnel model tests, it is lower in cost but more accurate than engineering algorithms.

[0154] Furthermore, the present invention also provides a wind turbine generator, mainly comprising a generator body, wherein an anti-vortex detection processor is provided in the generator body; it also includes a memory and a program or instructions stored in the memory and executable on the anti-vortex detection processor, wherein when the program or instructions are executed by the anti-vortex detection processor, the steps of the motion control decision generation method provided in the above embodiments are performed.

[0155] The wind turbine provided by this invention models the aerodynamic drag of the anti-vortex blades and then couples the model with the structural dynamics model of the wind turbine for calculation. This can effectively predict the anti-vortex effect of the pitch of the wind turbine. Compared with field testing and wind tunnel model test, it is lower in cost but more accurate than engineering algorithms.

[0156] Figure 11 This is a schematic diagram of the structure of the electronic device provided by the present invention, such as... Figure 11 As shown, the electronic device may include a processor 110, a communication interface 120, a memory 130, and a communication bus 140. The processor 110, communication interface 120, and memory 130 communicate with each other via the communication bus 140. The processor 110 can call logical instructions in the memory 130 to execute a pitch-based anti-vortex effect detection method. This method includes: performing hydrodynamic simulation calculations on the transient swing process of the anti-vortex blades of a wind turbine to obtain time-series data of aerodynamic drag of the anti-vortex blades in the swing direction; performing multivariate regression analysis on the aerodynamic drag time-series data to determine the interactive influence of blade root sway and incoming wind speed on the aerodynamic drag of the anti-vortex blades, and constructing a mathematical model of the aerodynamic drag of the anti-vortex blades; coupling the aerodynamic drag mathematical model with the equivalent dynamic model of the wind turbine to calculate the vibration attenuation of the anti-vortex blades before and after the addition of aerodynamic drag, forming a vibration attenuation effect comparison diagram.

[0157] Furthermore, the logical instructions in the aforementioned memory 130 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0158] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by the computer, the computer can execute the pitch anti-vortex effect detection method provided by the above methods. The method includes: performing hydrodynamic simulation calculations on the oscillation transient process of the anti-vortex blade of a wind turbine to obtain the aerodynamic drag time series data of the anti-vortex blade in the oscillation direction; performing multivariate regression analysis on the aerodynamic drag time series data to determine the interactive influence of blade root oscillation amplitude and incoming wind speed on the aerodynamic drag of the anti-vortex blade, and constructing an aerodynamic drag mathematical model of the anti-vortex blade; and coupling the aerodynamic drag mathematical model with the equivalent dynamic model of the wind turbine to calculate a comparison diagram of the vibration attenuation effect of the anti-vortex blade before and after the addition of aerodynamic drag.

[0159] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the pitch anti-vortex effect detection method provided in the above embodiments. The method includes: performing hydrodynamic simulation calculations on the oscillation transient process of the anti-vortex blade of a wind turbine to obtain time-series data of aerodynamic drag of the anti-vortex blade in the oscillation direction; performing multivariate regression analysis on the time-series data of aerodynamic drag to determine the interactive influence of blade root oscillation amplitude and incoming wind speed on the aerodynamic drag of the anti-vortex blade, and constructing a mathematical model of aerodynamic drag of the anti-vortex blade; coupling the mathematical model of aerodynamic drag with the equivalent dynamic model of the wind turbine to calculate the vibration attenuation of the anti-vortex blade before and after the addition of aerodynamic drag, and forming a vibration attenuation effect comparison chart.

[0160] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the 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 any creative effort.

[0161] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0162] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting the anti-vortex effect of pitch control, characterized in that, include: Fluid dynamics simulation calculations are performed on the oscillation transient process of the anti-vortex blade of a wind turbine to obtain the time-series data of aerodynamic drag of the anti-vortex blade in the oscillation direction. This includes: using the blade root oscillation amplitude and incoming wind speed as experimental factors, and the aerodynamic drag experienced by the anti-vortex blade in the oscillation direction as the response, a fluid dynamics simulation scheme is formulated based on the surface response method; a fluid dynamics model of the anti-vortex blade is established, and the time-series data of aerodynamic drag of the anti-vortex blade in the oscillation direction is obtained based on the operating condition combinations in the fluid dynamics simulation scheme; the operating condition combinations include factor level combinations consisting of the blade root oscillation amplitude and the incoming wind speed. A multivariate regression analysis was performed on the aerodynamic drag time series data to determine the interactive influence of blade root sway and incoming air velocity on the aerodynamic drag of the anti-vortex blade, and a mathematical model of the aerodynamic drag of the anti-vortex blade was constructed. This included: using a sine function to describe the aerodynamic drag of the anti-vortex blade in the sway direction; performing a multivariate regression analysis on the working condition combination in the fluid dynamics simulation scheme to establish a mathematical model between blade root sway and incoming air velocity and the amplitude and amplitude shift of the sine function; and substituting the mathematical model between blade root sway and incoming air velocity and the amplitude and amplitude shift of the sine function into the sine function to obtain the aerodynamic drag mathematical model. The aerodynamic drag mathematical model is coupled with the equivalent dynamic model of the wind turbine to calculate the vibration attenuation of the anti-vortex blade before and after the aerodynamic drag is added, forming a comparison diagram of vibration attenuation effect.

2. The method for detecting the anti-vortex effect of pitch control according to claim 1, characterized in that, The establishment of the hydrodynamic model for the anti-vortex blade, based on the operating condition combinations in the hydrodynamic simulation scheme, to obtain the time-series data of the aerodynamic drag of the anti-vortex blade in the oscillation direction, includes: Based on the shape parameters of the anti-vortex blade, multiple airfoil sections are cut along the blade span. The oscillation of the anti-vortex blades caused by the vortex vibration of the wind turbine tower is approximated as a rigid reciprocating rotation, so as to calculate the oscillation amplitude of each airfoil section based on the azimuth angle of the anti-vortex blades, the spanwise position of each airfoil section, and the blade root oscillation amplitude. A two-dimensional hydrodynamic model is established for each of the airfoil sections to calculate the inflow angle of attack for each airfoil section; The swinging process of each airfoil section is simulated based on dynamic mesh technology, and the aerodynamic drag data of each airfoil section under each working condition combination is obtained through transient fluid dynamics calculation. Integrate the aerodynamic drag data of all airfoil sections along the blade span to obtain the aerodynamic drag time series data of the anti-vortex blade in the oscillation direction.

3. The method for detecting the anti-vortex effect of pitch control according to claim 1, characterized in that, The establishment of the hydrodynamic model for the anti-vortex blade, based on the operating condition combinations in the hydrodynamic simulation scheme, to obtain the time-series data of the aerodynamic drag of the anti-vortex blade in the oscillation direction, includes: Based on the shape parameters of the anti-vortex blade and the incoming wind direction, a three-dimensional fluid dynamics model is established. The three-dimensional fluid dynamics model includes an internal flow field and an external flow field. Data transfer between the internal flow field and the external flow field is achieved through a non-common node interface. The anti-vortex blade oscillation caused by the vortex vibration of the wind turbine tower is simulated by a sliding mesh model; the sliding mesh model moves in a reciprocating oscillation mode, with the center of the oscillation being the bottom center of the tower. Based on the oscillation frequency of the anti-vortex blade and the blade root oscillation amplitude under each operating condition combination, the angular velocity variation function of the slip grid model is constructed, and the aerodynamic drag time series data of the anti-vortex blade in the oscillation direction is obtained through transient fluid dynamics calculation.

4. The method for detecting the anti-vortex effect of pitch control according to claim 3, characterized in that, The cross-section of the three-dimensional fluid dynamics model is fan-shaped, and the radius of the bottom arc surface of the three-dimensional fluid dynamics model is equal to the center height of the hub of the wind turbine, with the bottom of the tower as the center. The radius of the top arc surface of the inner flow field is at least greater than the sum of the length of the anti-vortex blade and the height of the hub center; the fan-shaped surfaces on both sides of the outer flow field are respectively set as the inlet and outlet of the three-dimensional fluid dynamics model.

5. The method for detecting the anti-vortex effect of pitch control according to claim 1, characterized in that, The coupling of the aerodynamic drag mathematical model with the equivalent dynamic model of the wind turbine includes: Substitute the aerodynamic drag mathematical model into the equivalent dynamic model to obtain the vibration coupling model; Without considering the vortex-resistant effect of the pitch-based anti-vortex blades, the vibration coupling model is solved based on the Runge-Kutta method to calculate the vibration before the aerodynamic drag is added, and a vibration effect diagram is generated. After determining that the amplitude of the anti-vortex blade is stable, the aerodynamic drag of the anti-vortex blade is introduced when solving the vibration coupling model, and the vibration attenuation after adding the aerodynamic drag is calculated on the vibration effect diagram.

6. The method for detecting the anti-vortex effect of pitch control according to claim 1, characterized in that, The vibration attenuation effect comparison chart includes: At least one of the following: a comparison diagram of amplitude attenuation effect of the anti-vortex blade, a comparison diagram of vibration velocity attenuation, and a comparison diagram of vibration acceleration attenuation.

7. The method for detecting the anti-vortex effect of pitch control according to claim 1, characterized in that, After coupling the aerodynamic drag mathematical model with the equivalent dynamic model of the wind turbine to calculate the vibration attenuation of the anti-vortex blade before and after the addition of aerodynamic drag, and generating a vibration attenuation effect comparison chart, the method further includes: Based on the attenuation effect comparison diagram, adjust the pitch angle of the anti-vortex blades.

8. A device for detecting the anti-vortex effect of pitch control, characterized in that, include: The data simulation unit is used to perform fluid dynamics simulation calculations on the transient swing process of the anti-vortex blade of a wind turbine, and to obtain the time series data of aerodynamic drag of the anti-vortex blade in the swing direction. This includes: using the blade root yaw rate and incoming wind speed as experimental factors, and the aerodynamic drag experienced by the anti-vortex blade in the swing direction as the response, a fluid dynamics simulation scheme is formulated based on the surface response method; a fluid dynamics model of the anti-vortex blade is established, and the time series data of aerodynamic drag of the anti-vortex blade in the swing direction is obtained based on the operating condition combinations in the fluid dynamics simulation scheme; the operating condition combinations include factor level combinations consisting of the blade root yaw rate and incoming wind speed. The data modeling unit is used to perform multivariate regression analysis on the aerodynamic drag time series data to determine the interactive influence of blade root sway and incoming air velocity on the aerodynamic drag of the anti-vortex blade, and to construct a mathematical model of the aerodynamic drag of the anti-vortex blade. This includes: using a sine function to describe the aerodynamic drag of the anti-vortex blade in the sway direction; performing multivariate regression analysis on the operating condition combinations in the fluid dynamics simulation scheme to establish a mathematical model between the blade root sway and incoming air velocity and the amplitude and amplitude shift of the sine function; and substituting the mathematical model between the blade root sway and incoming air velocity and the amplitude and amplitude shift of the sine function into the sine function to obtain the aerodynamic drag mathematical model. The detection and calculation unit is used to couple the aerodynamic drag mathematical model with the equivalent dynamic model of the wind turbine to calculate the vibration attenuation of the anti-vortex blade before and after the aerodynamic drag is added, and to form a comparison diagram of vibration attenuation effect.

9. A wind turbine generator, characterized in that, The device includes a generator body, in which an anti-vortex detection processor is provided; it also includes a memory and a program or instructions stored in the memory and executable on the anti-vortex detection processor, wherein when the program or instructions are executed by the anti-vortex detection processor, the pitch anti-vortex effect detection method as described in any one of claims 1 to 7 is performed.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the pitch anti-vortex effect detection method as described in any one of claims 1 to 7.

11. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the pitch anti-vortex effect detection method as described in any one of claims 1 to 7.

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