Methods and devices for testing the vibration suppression effect of liquid dampers and wind turbine generators

Abstract

This invention relates to the field of new energy, providing a method, apparatus, and wind turbine for detecting the vibration suppression effect of a liquid damper. The method includes: performing fluid dynamics simulation calculations on the external environment flow field of the wind turbine to obtain time-series data of aerodynamic loads acting on the wind turbine tower; and coupling the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper based on the aerodynamic load time-series data to obtain the detection results of the damper's vibration suppression effect. The vibration system includes a damper and a tower; the damper is used to suppress the vibration of the tower. The method, apparatus, and wind turbine provided by this invention can analyze the flow of fluid inside the damper and the vibration response of the wind turbine tower by coupling structural dynamics and computational fluid dynamics, while also considering the nonlinear characteristics of the damping force during liquid sloshing, thus enabling more accurate detection of the damper's vibration suppression effect.

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 vibration suppression effect of a liquid damper. Background Technology

[0002] Dampers are devices that provide resistance to motion and dissipate kinetic energy. They are widely used in aerospace, aviation, military, artillery, automotive, construction, and new energy fields. The shape, structural parameters, liquid level height, and number of dampers all significantly affect their vibration suppression effect. Accurate and efficient testing of the vibration suppression effect of dampers can guide the design of vibration reduction schemes.

[0003] For dampers used in wind turbines, existing methods for detecting the vibration suppression effect of liquid dampers can obtain the results by constructing a fluid dynamics model and performing mathematical calculations based on that model. However, these methods do not consider the nonlinear characteristics of the damping force generated by the damper, making it difficult to accurately detect the vibration suppression effect of dampers in wind turbine generators. Summary of the Invention

[0004] This invention provides a method, device, and wind turbine for detecting the vibration suppression effect of a liquid damper, thereby addressing the shortcomings of existing technologies that make it difficult to accurately detect the vibration suppression effect of dampers applied to wind turbines, and achieving more accurate detection of the vibration suppression effect of dampers applied to wind turbines.

[0005] This invention provides a method for detecting the vibration suppression effect of a liquid damper, comprising:

[0006] Fluid dynamics simulation calculations were performed on the external environment flow field of the wind turbine to obtain the time-series data of aerodynamic loads acting on the wind turbine tower.

[0007] Based on the aerodynamic load time series data, the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper are coupled to obtain the detection results of the damper's vibration suppression effect.

[0008] The vibration system includes the damper and the tower; the damper is used to suppress the vibration of the tower.

[0009] According to the present invention, a method for detecting the vibration suppression effect of a liquid damper includes coupling a structural dynamics model of the vibration system and a three-dimensional flow field model inside the damper based on the aerodynamic load time series data to obtain the detection result of the vibration suppression effect of the damper, comprising:

[0010] The structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper are coupled to construct the dynamic equations of the vibration system.

[0011] Using the aerodynamic load time series data as input, the dynamic equations are solved to obtain the detection results of the damper's vibration suppression effect.

[0012] According to the present invention, a method for detecting the vibration suppression effect of a liquid damper includes solving the dynamic equations by using the aerodynamic load time series data as input conditions to obtain the detection result of the vibration suppression effect of the damper, comprising:

[0013] Using the aerodynamic load time series data as input, the Runge-Kutta method is used to solve the dynamic equations to obtain the amplitude, vibration velocity, and vibration acceleration of the vibration system, which are then used as the detection results of the damper's vibration suppression effect.

[0014] According to the present invention, a method for detecting the vibration suppression effect of a liquid damper is provided, wherein solving the set of dynamic equations includes:

[0015] When solving the dynamic equations, the energy consumed by the fluid inside the damper due to friction is introduced.

[0016] According to the present invention, a method for detecting the vibration suppression effect of a liquid damper includes performing fluid dynamics simulation calculations on the external environment flow field of a wind turbine generator to obtain time-series data of aerodynamic loads acting on the wind turbine generator tower, comprising:

[0017] Within the critical wind speed range where the tower experiences vortex-induced vibration, wind speed data with a random time-series distribution is generated.

[0018] Based on the wind speed data, fluid dynamics simulation calculations are performed on the external environment flow field of the wind turbine to obtain the aerodynamic load time series data.

[0019] According to the method for detecting the vibration suppression effect of a liquid damper provided by the present invention, the critical wind speed range is obtained based on the following method, including:

[0020] Modal analysis was performed on the wind turbine to obtain the modal parameters of the tower.

[0021] Based on the modal parameters, the critical wind speed range is obtained.

[0022] The present invention also provides a device for detecting the vibration suppression effect of a liquid damper, comprising:

[0023] The simulation module is used to perform fluid dynamics simulation calculations on the external environment flow field of the wind turbine and obtain the time series data of aerodynamic loads acting on the wind turbine tower.

[0024] The detection module is used to couple the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper based on the aerodynamic load time series data, so as to obtain the detection results of the damper's vibration suppression effect.

[0025] The vibration system includes the damper and the tower; the damper is used to suppress the vibration of the tower.

[0026] The present invention also provides a wind turbine generator, comprising: a generator body, a damper, and a device for detecting the vibration suppression effect of the liquid damper as described above.

[0027] The present invention also 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 vibration suppression effect detection method of the liquid damper as described above.

[0028] 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 method for detecting the vibration suppression effect of a liquid damper as described above.

[0029] The present invention provides a method, device, and wind turbine for detecting the vibration suppression effect of a liquid damper. After obtaining the time-series data of the aerodynamic load acting on the wind turbine tower through fluid dynamics simulation calculation of the external environment flow field of the wind turbine, the structural dynamics model of the vibration system including the damper and the tower, and the three-dimensional flow field model inside the damper are coupled based on the aforementioned aerodynamic load time-series data to obtain the detection results of the damper's vibration suppression effect. By coupling computational fluid dynamics and structural dynamics, the flow of fluid inside the damper and the vibration response of the wind turbine tower can be analyzed, and the influence of nonlinear damping force on the damper's vibration suppression effect is introduced, thereby enabling more accurate detection of the damper's vibration suppression effect. Attached Figure Description

[0030] 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.

[0031] Figure 1 This is one of the flowcharts of the method for detecting the vibration suppression effect of a liquid damper provided by the present invention;

[0032] Figure 2This is a schematic diagram of the vibration system in the method for detecting the vibration suppression effect of a liquid damper provided by the present invention;

[0033] Figure 3 A schematic diagram of the three-dimensional flow field model of the wind turbine in the method for detecting the vibration suppression effect of the liquid damper provided by the present invention;

[0034] Figure 4 This is a schematic diagram of the detection results of the damper's vibration suppression effect in the method for detecting the vibration suppression effect of a liquid damper provided by the present invention.

[0035] Figure 5 This is a schematic diagram of wind speed data in the method for detecting the vibration suppression effect of liquid dampers provided by the present invention;

[0036] Figure 6 A schematic diagram of the force data of the damper in the vibration suppression effect detection method of the liquid damper provided by the present invention;

[0037] Figure 7 A schematic diagram of the natural frequency of the tower in the method for detecting the vibration suppression effect of the liquid damper provided by the present invention;

[0038] Figure 8 This is the second flowchart of the method for detecting the vibration suppression effect of a liquid damper provided by the present invention;

[0039] Figure 9 This is a schematic diagram of the structure of the liquid damper vibration suppression effect testing device provided by the present invention;

[0040] Figure 10 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0041] 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.

[0042] In the description of the invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "installation," "connection," and "linking" 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; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0043] It should be noted that 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 vortices that alternately detach from the surface of the structure on both sides of the object. For the prevention of second-order vortex-induced vibration in wind turbine towers, the installation of dampers is currently the primary technical means. These dampers can effectively suppress second-order vortex-induced vibration in wind turbine towers, reduce the fatigue load on the tower, improve the operational safety of wind turbines, and extend the service life of wind turbines.

[0044] Tuned-frequency liquid dampers (TLDs) utilize the dynamic lateral forces generated by the sloshing of liquid in a stationary tank to provide vibration reduction. TLD dampers are widely used in various fields due to their simple construction, easy installation, good automatic activation performance, and the fact that they do not require pneumatic devices.

[0045] For TLD dampers used to suppress vortex-induced vibration in wind turbines, traditional methods for detecting the vibration suppression effect of liquid dampers mainly include the following three approaches: 1. Without considering the actual operating state of the liquid inside the TLD damper, an equivalent mechanical model is used to calculate the natural frequency, damping, and sloshing force of the liquid sloshing inside the TLD damper. This equivalent mechanical model is then coupled with the dynamic equations of the wind turbine to obtain the detection results of the TLD damper's vibration suppression effect. 2. The vibration suppression effect of the TLD damper is obtained based on empirical formulas and finite element analysis. 3. Based on computational fluid dynamics (CFD), under specific amplitude conditions, the damping force of the liquid inside the TLD damper during sloshing is obtained as the detection result of the TLD damper's vibration suppression effect. However, none of these traditional methods consider the nonlinear characteristics of the damping force generated by the damper, making it difficult to accurately detect the vibration suppression effect of the dampers in wind turbine generators.

[0046] To address this issue, the present invention provides a method, apparatus, and wind turbine for detecting the vibration suppression effect of a liquid damper. Based on the method provided by this invention, the vibration suppression effect of a TLD damper used to suppress vortex-induced vibrations in a wind turbine can be detected. By coupling computational fluid dynamics and structural dynamics, the flow of fluid inside the TLD damper and the vibration response of the wind turbine tower are analyzed, thereby obtaining more accurate detection results for the vibration suppression effect of the liquid damper.

[0047] Figure 1 This is one of the flowcharts illustrating the vibration suppression effect testing method for liquid dampers provided by this invention. The following is a combination of... Figure 1This invention describes a method for detecting the vibration suppression effect of a liquid damper. For example... Figure 1 As shown, the method includes: Step 101, performing fluid dynamics simulation calculations on the external environment flow field of the wind turbine generator to obtain the time series data of aerodynamic loads acting on the wind turbine generator tower.

[0048] The vibration system includes a damper and a tower; the damper is used to suppress the vibration of the tower.

[0049] Figure 2 This is a schematic diagram of the vibration system in the method for detecting the vibration suppression effect of a liquid damper provided by this invention. (See diagram for example.) Figure 2 As shown, in this embodiment of the invention, the tower 201 of the wind turbine and the TLD damper 202 used to suppress second-order vortex-induced vibration of the tower can be considered as a vibration system 203. The number of TLD dampers 202 can be one or more.

[0050] Specifically, computational fluid dynamics (CFD) is a product of the combination of fluid mechanics, numerical mathematics, and computer science. CFD approximates the integral and differential terms in the governing equations of fluid mechanics as discrete algebraic forms, creating a system of algebraic equations. These discrete algebraic equations are then solved by a computer to obtain numerical solutions at discrete time / space points.

[0051] The method for detecting the vibration suppression effect of liquid dampers provided by the present invention uses fluid dynamics simulation analysis to simulate the external environmental flow field of a wind turbine under random wind speed conditions and within a preset time period, thereby obtaining the time-series aerodynamic loads borne by the tower in the wind turbine within the preset time period, and forming aerodynamic load time-series data.

[0052] Optionally, based on the three-dimensional flow field model of the wind turbine, fluid dynamics simulation calculations can be performed on the external environment flow field of the wind turbine to obtain the time-series data of aerodynamic loads acting on the wind turbine tower.

[0053] Optionally, the aforementioned aerodynamic load time series data can be discrete time series data, or it can be a time series function obtained through nonlinear fitting.

[0054] Based on the structural parameters of the wind turbine, a three-dimensional flow field model of the wind turbine can be established in a Cartesian coordinate system, and turbulent flow field modeling can be performed based on the k-omega SST model. The k-omega SST model is a widely used turbulence model.

[0055] Optionally, when modeling turbulent flow fields, the gamma transport equation can be introduced to simulate the transition effect. Transition flow is a flow state in the process of laminar flow transforming into turbulent flow.

[0056] Figure 3 This is a schematic diagram of the three-dimensional flow field model of a wind turbine in the vibration suppression effect detection method of the liquid damper provided by the present invention. With the wind direction angle of the wind turbine 301 set to -90° (side blowing), the blade azimuth angles set to 60°, 180°, and 300° respectively, and the pitch angle set to 0°, the three-dimensional flow field model of the wind turbine is as follows. Figure 2 As shown.

[0057] The three-dimensional flow field model 302 of the wind turbine uses velocity boundary conditions at the inlet and pressure boundary conditions at the outlet.

[0058] The bottom of the three-dimensional flow field model 302 of the wind turbine is a wall boundary, and the other three surfaces are symmetry boundaries.

[0059] It should be noted that in the three-dimensional flow field model 302 of the wind turbine, the number of boundary layer mesh layers on the tower surface is not less than a preset number (e.g., not less than 15 layers), and the growth factor is 1.05. Considering the influence of the transition effect, the thickness of the first boundary layer mesh is determined with Y+ being less than 1 as the objective. Here, Y+ is a basic indicator used in this field to measure whether the mesh thickness is appropriate.

[0060] In the three-dimensional flow field model 302 of the wind turbine, the mesh size near the nacelle and blades is larger than the mesh size on the tower surface.

[0061] Step 102: Based on the aerodynamic load time series data, couple the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper to obtain the detection results of the damper's vibration suppression effect.

[0062] The structural dynamics model of the aforementioned vibration system 203 can be pre-constructed based on the structural parameters of the tower 201 and the TLD damper 202 using traditional structural dynamics model construction methods.

[0063] Based on the structural parameters of the TLD damper 202's internal cavity, a three-dimensional flow field model of the TLD damper 202 can be constructed in a Cartesian coordinate system. Furthermore, the gas-liquid two-phase turbulent flow field inside the TLD damper 202 can be modeled based on the k-omega SST model and the VOF model. The VOF model is a surface tracking method based on a fixed Eulerian grid, which can obtain various immiscible fluid interfaces.

[0064] Optionally, the velocity gradient at the gas-liquid interface in the three-dimensional flow field model inside the TLD damper 202 can be corrected by adding a turbulent damping term to the omega transport equation:

[0065]

[0066] The damping factor B ranges from 5 to 8; μ and ρ represent the dynamic viscosity and density of the fluid, respectively; A represents the interfacial area density between the gas and liquid phases; and Δn is the vertical height of the grid at the interface.

[0067] Based on the aerodynamic load time series data of tower 201, the structural dynamics model of the above-mentioned vibration system 203 and the three-dimensional flow field model inside the damper 302 are coupled. At least one of the following can be calculated before and after the aerodynamic load time series data is added: the amplitude, vibration acceleration, vibration velocity, damping force, and sloshing amplitude of the liquid inside the TLD damper 202 of tower 201. These can be used as the detection results of the vibration suppression effect of TLD damper 202.

[0068] Optionally, the test results of the vibration suppression effect of the TLD damper 202 can be presented in the form of, but are not limited to, images or tables.

[0069] Optionally, Fluent software can be used to couple the structural dynamics model of the vibration system 203 and the three-dimensional flow field model inside the damper 302 based on the aerodynamic load time series data of the tower 201 in the wind turbine.

[0070] This invention, through fluid dynamics simulation calculation of the external environment flow field of a wind turbine, obtains the time-series data of aerodynamic loads acting on the wind turbine tower. Based on the aforementioned aerodynamic load time-series data, it couples the structural dynamics model of the vibration system including the damper and the tower with the three-dimensional flow field model inside the damper to obtain the detection results of the damper's vibration suppression effect. By coupling computational fluid dynamics and structural dynamics, it can analyze the flow of fluid inside the damper and the vibration response of the wind turbine tower, and introduce the influence of nonlinear damping force on the damper's vibration suppression effect, thereby enabling more accurate detection of the damper's vibration suppression effect.

[0071] Based on the above embodiments, and based on aerodynamic load time series data, the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper are coupled to obtain the detection results of the damper's vibration suppression effect. This includes: coupling the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper to construct a set of dynamic equations for the vibration system.

[0072] Specifically, the vibration system 203 can be regarded as a spring-damped system, and the TLD damper 202 can be regarded as an oscillator in the spring-damped system. Based on this, the structural dynamics model of the vibration system 203 and the three-dimensional flow field model inside the damper 302 can be coupled based on the continuity equation and the momentum conservation equation to construct the dynamic equation set of the vibration system 203:

[0073]

[0074] Where x and y represent the displacement data of the TLD damper 202 in the downwind and crosswind directions, respectively; F x (t) and F y (t) represents the time-series data of the aerodynamic loads on the TLD damper 202 in the downwind and crosswind directions, respectively. Tx (t) and F Ty (t) represent the forces exerted by the internal fluid of the TLD damper 202 on its wall in the downwind and crosswind directions, respectively; r i Indicates the quantity used for TLD dampers 202; ω t m t and ξ t The values ​​are, in order, the natural frequency, modal mass, and damping ratio of the tower 201 when it experiences second-order vortex-induced vibration.

[0075] Using aerodynamic load time series data as input, the dynamic equations are solved to obtain the test results of the damper's vibration suppression effect.

[0076] Specifically, after constructing the dynamic equations of the vibration system 203, F can be obtained based on the aforementioned aerodynamic load time series data. x (t) and F y (t).

[0077] Table 1 Parameter Value Table

[0078] <![CDATA[Natural frequency ω t > <![CDATA[Modal mass m t > <![CDATA[Damping ratio ξ t > <![CDATA[Number r of dampers 302 i > 7.54Hz 5.0×106kg 0.001 60

[0079] Based on the aforementioned aerodynamic load time series data, fluid dynamics simulation calculations can be performed on the sloshing process of the liquid inside the TLD damper 202 to obtain the F corresponding to the aforementioned aerodynamic load time series data. Tx (t) and F Ty (t).

[0080] ω t m t and ξ t It can be obtained in advance based on a three-dimensional model of the wind turbine. The aforementioned three-dimensional model of the wind turbine can be pre-constructed based on the main parameters of the wind turbine. In the embodiments of the present invention, ω t m t and ξt The values ​​of are shown in Table 1.

[0081] Get F x (t) and F y After (t), you can obtain F x (t), F y (t), F Tx (t), F Ty (t), ω t m t and ξ t Input the above dynamic equations and solve them to obtain the test results of the damping effect of damper 302.

[0082] Alternatively, the second-party development module (UDF) of Fluent software can be used to solve the above dynamic equations.

[0083] This invention, through coupling the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper based on the continuity equation and the momentum conservation equation, constructs a set of dynamic equations for the vibration system. Then, using the aerodynamic load time series data of the tower as input conditions, the detection results of the damper's vibration suppression effect are obtained by solving the above set of dynamic equations. By coupling computational fluid dynamics and structural dynamics, the detection results of the damper's vibration suppression effect can be obtained more accurately and efficiently.

[0084] Based on the above embodiments, the aerodynamic load time series data is used as input conditions to solve the dynamic equations to obtain the detection results of the damper's vibration suppression effect. This includes: using the aerodynamic load time series data as input conditions, the Runge-Kutta method is used to solve the dynamic equations to obtain the amplitude, vibration velocity, and vibration acceleration of the vibration system, which are used as the detection results of the damper's vibration suppression effect.

[0085] Specifically, the above set of dynamic equations can be solved through the following steps:

[0086] Step 11: Initialize the three-dimensional flow field inside the TLD damper 202; wherein, the liquid level height in the three-dimensional flow field inside the TLD damper 202 can be defined using the Adaption controls and Patch functions in Fluent software, and the velocity components in the three directions in the three-dimensional flow field inside the TLD damper 202 can be set to 0.

[0087] Step 12: Perform the current fluid dynamics solution for the fluid inside the TLD damper 202. After the completion of this fluid dynamics iteration calculation, the current structural dynamics solution for the vibration system 203 can be started. Among them, after the completion of the fluid dynamics iteration at the current moment, the DEFINE_EXECUTE_AT_END macro in the secondary development module of the Fluent software is activated.

[0088] Step 13: Read the time-series data F of the aerodynamic load on the TLD damper 202 in the crosswind direction at the current moment. y (t), as the excitation force of the aforementioned vibration system 203, obtains the force F exerted by the liquid inside the TLD damper 202 on its wall in the crosswind direction. Ty (t), which serves as the damping force of the aforementioned vibration system 203; where F can be obtained through the Compute_Force_And_Moment macro in the secondary development module of Fluent software. Ty (t);

[0089] Step 14: Solve the above dynamic equations numerically using the fourth-order Runge-Kutta method to obtain the current displacement S of the TLD damper 202. y and speed V y .

[0090] Step 15, based on the current displacement S of the TLD damper 202 y and speed V y The spatial coordinates of the mesh in the three-dimensional flow field model inside the TLD damper 202 are updated to simulate the sloshing process of the liquid inside the TLD damper 202. The spatial coordinates of the mesh in the three-dimensional flow field model inside the TLD damper 202 can be updated through the DEFINE_CG_MOTION macro in the secondary development module of Fluent software.

[0091] Step 16: Repeat steps 12 to 15 until the number of iterations reaches the preset maximum value.

[0092] The geometric center of the TLD damper 202 can be taken as the data monitoring point. During the process of solving the above dynamic equations, the displacement and velocity of the above data monitoring point after each iteration are output.

[0093] By comparing the position and velocity of the above data monitoring points when the liquid inside the TLD damper 202 is not sloshing, the amplitude, vibration velocity and vibration acceleration of the vibration system 203 can be obtained as the test results of the damper 302's vibration suppression effect.

[0094] Figure 4This is a schematic diagram illustrating the detection results of the damper's vibration suppression effect in the method for detecting the vibration suppression effect of a liquid damper provided by this invention. (See diagram for example.) Figure 4 As shown, the amplitude of the vibration system 203 gradually increases.

[0095] Optionally, the above dynamic equations can be solved using a CFD solver. In the solution method settings, the pressure-velocity coupling can be implemented using the SIMPLEC algorithm, the spatial difference format for pressure is Body Force Weighted, the difference format for volume fraction is Geo-Reconstruct, and the difference for other convection terms uses a numerical format with second-order progress.

[0096] It should be noted that if the above aerodynamic load time series data is discrete time series data, then when performing fluid dynamics calculations on the gas-liquid two-phase flow inside the TLD damper 202, the time step of the fluid dynamics calculation should be the same as the time step of the above aerodynamic load time series data.

[0097] Optionally, when solving the hydrodynamics of the gas-liquid two-phase system inside the TLD damper 202, the pressure and velocity coupling can be solved using the SIMPLEC algorithm, the spatial difference format for pressure can be Body Force Weighted, and the difference format for volume fraction can be Geo-Reconstruct.

[0098] This invention uses aerodynamic load time-series data as input and employs the Runge-Kutta method to solve the dynamic equations to obtain the amplitude, velocity, and acceleration of the vibration system. These are then used as the detection results for the damper's vibration suppression effect, enabling more accurate and efficient detection of the damper's vibration suppression effect.

[0099] Based on the above embodiments, solving the dynamic equations includes: introducing the energy consumed by the fluid inside the damper due to friction when solving the dynamic equations.

[0100] Specifically, in constructing the above set of dynamic equations, in addition to the continuity equation and the momentum conservation equation, an energy conservation equation can also be introduced, so that the energy consumption caused by the internal liquid friction of the TLD damper 202 can be modeled when simulating the internal liquid sloshing of the TLD damper 202.

[0101] Optionally, the influence of the interfacial tension between the gas and liquid phases in the three-dimensional flow field model inside the TLD damper 202 can be supplemented by the momentum conservation equation using the Continuum Surface Force (CSF) model.

[0102] By incorporating the energy consumed by the fluid inside the damper due to friction when solving the above-mentioned dynamic equations, this embodiment of the invention can further improve the accuracy of detecting the vibration suppression effect of the liquid damper.

[0103] Based on the above embodiments, fluid dynamics simulation calculations are performed on the external environment flow field of the wind turbine to obtain time-series data of aerodynamic loads acting on the wind turbine tower, including: randomly generating time-series wind speed data within the critical wind speed range where the tower experiences vortex-induced vibration.

[0104] Specifically, taking the analysis of the second-order vortex-induced vibration in the front and rear directions of tower 201 as an example, when the critical wind speed range for the second-order vortex-induced vibration of tower 201 is 16.9 to 28.3 m / s, wind speed data with a time-series distribution can be randomly generated within the above-mentioned critical wind speed range based on the random wind spectrum.

[0105] Optionally, an average wind speed of 0.5 m / s can be taken within the aforementioned critical wind speed range, and then a three-dimensional turbulent wind file can be generated using the wind module in the Bladed software. The wind spectrum simulation can use the Kaimal model, and the turbulence scale parameters are set according to the IEC-61400 standard. A transient calculation with a duration of 100 s and a time step of 0.05 s is performed without considering the influence of wind shear, thereby obtaining the temporal distribution of wind speed data in the x, y, and z directions. Figure 5 This is a schematic diagram of wind speed data in the method for detecting the vibration suppression effect of liquid dampers provided by the present invention.

[0106] It should be noted that the critical wind speed range for the second-order vortex-induced vibration of tower 201 can be obtained based on prior knowledge or through numerical calculation.

[0107] Based on wind speed data, fluid dynamics simulation calculations are performed on the external environment flow field of the wind turbine to obtain aerodynamic load time series data.

[0108] Specifically, based on the aforementioned wind speed data, the periodic vortex flow field on the surface of tower 201 caused by the bluff body flow separation effect can be modeled, the external environmental flow field of the wind turbine can be simulated, and the time series data of the aerodynamic load acting on tower 201 can be obtained.

[0109] Optionally, the periodic vortex flow field on the surface of tower 201 caused by the bluff body flow separation effect can be modeled using Fluent software.

[0110] Fluent software can be used with its Profile reading function to load wind speed data generated by Bladed software into the 3D flow field model of the wind turbine. In the velocity inlet settings of the 3D flow field model of the wind turbine, the Component mode can be used to independently define the velocity components of the aforementioned wind speed data in the x, y, and z directions, and correspond them to the Profile data for the alongwind, crosswind, and vertical wind directions, respectively.

[0111] In fluid dynamics simulation calculations, the pressure-velocity coupling can be achieved using the Coupled algorithm, and the spatial difference of the fluid can be obtained using a numerical format that meets second-order accuracy. The time step is set to correspond to the time step of the wind speed data (e.g., 0.05 s), and iterative calculations are performed to obtain the temporal distribution of crosswind force (vortex-induced vibration force) and alongwind force (thrust) data for tower 201 within the critical wind speed range.

[0112] Figure 6 This is a schematic diagram of the damper force data in the vibration suppression effect detection method of the liquid damper provided by the present invention. Based on the time-series force data of the tower 201 within the critical wind speed range, the time-series data of the aerodynamic load acting on the tower 201 can be obtained.

[0113] It should be noted that by performing a Fast Fourier Transform (FFT) on the temporal force data of the tower 201 surface, the frequency range of periodic vortex shedding in tower 201 can be determined. Based on the aforementioned frequency range of periodic vortex shedding and the operating conditions corresponding to the second-order natural frequency of tower 201, ω is determined. t m t and ξ t , which serves as the input to the aforementioned set of dynamic equations. Figure 7 This is a schematic diagram of the natural frequency of the tower in the vibration suppression effect detection method of the liquid damper provided by the present invention. The natural frequency of the tower 201 corresponds to the order of vortex-induced vibration.

[0114] This invention, through random generation of time-series wind speed data within the critical wind speed range for tower vortex-induced vibration, performs fluid dynamics simulation calculations on the external environment flow field of the wind turbine based on the aforementioned wind speed data, thereby obtaining time-series data of aerodynamic loads acting on the tower. This allows for fluid dynamics simulation calculations of the external environment flow field of the wind turbine under the condition of second-order vortex-induced vibration in the tower, thus enabling the detection of the tower's vibration suppression effect under the condition of second-order vortex-induced vibration, and improving the detection efficiency of the tower's vibration suppression effect.

[0115] Based on the above embodiments, the critical wind speed range is obtained by performing modal analysis on the wind turbine to obtain the modal parameters of the tower.

[0116] Specifically, the entire wind turbine can be modeled based on its design parameters. Parametric modeling of the tower 201 is the focus, in addition to the blades and nacelle. The design parameters of the wind turbine include: material parameters, geometric parameters (outer diameter and wall thickness, etc.), mass distribution, and bending, shear, and torsional stiffness distributions.

[0117] In the parametric modeling of tower 201, the installation position, quantity and mass of TLD damper 202 can be modeled by adding additional mass points, thereby reflecting the vibration damping effect of TLD damper 202 on tower 201.

[0118] After constructing the 3D model of the wind turbine, modal analysis can be performed on the model. The damping ratio of the tower 201 ranges from 0 to 0.005.

[0119] Modal analysis of the three-dimensional model of the wind turbine generator can yield the first and second order modal parameters of the tower 201 in the front, back, left, and right directions. These modal parameters include natural frequency, modal mass, and modal stiffness.

[0120] It should be noted that due to the influence of the blades and nacelle, the second-order natural frequencies of the tower 201 may differ significantly in the front-to-back and left-to-right directions. For example, the second-order front-to-back natural frequency of a 100m tower 201 is 1.45Hz, while the second-order left-to-right natural frequency is 1.2Hz. Therefore, in step 12, when performing hydrodynamic solutions on the gas-liquid two-phase flow inside the TLD damper 202, it is necessary to determine the correspondence between the natural frequencies and the inlet direction of the flow field.

[0121] Based on modal parameters, the critical wind speed range is obtained.

[0122] Specifically, the critical wind speed that induces vortex-induced vibration in tower 201 can be estimated using the following empirical formula:

[0123]

[0124] Where D represents the outer diameter of tower 201; f represents the natural frequency of tower 201; S t This represents the Strauhal number.

[0125] Table 2. Correspondence between critical wind speed and tower outer diameter, tower natural frequency, and Strouhal number.

[0126]

[0127] Table 2 shows the correspondence between the critical wind speed and the outer diameter of tower 201, the natural frequency of tower 201, and the Strouhal number. As shown in Table 2, when the height of tower 201 is 100m, the outer diameter at two-thirds of the tower height is 3.9m, the outer diameter at the top of the tower is 3.5m, and the Strouhal number is taken as 0.2 to 0.3.

[0128] This invention provides an embodiment of the invention that, by performing modal analysis on a wind turbine generator and obtaining the modal parameters of the tower, obtains the critical wind speed range for the tower to experience vortex-induced vibration based on these modal parameters, thus enabling a more accurate determination of the critical wind speed range for the tower to experience vortex-induced vibration.

[0129] To facilitate understanding of the vibration suppression effect detection method of the liquid damper provided by the present invention, the following example illustrates the vibration suppression effect detection method of the liquid damper provided by the present invention. Figure 8 This is the second flowchart illustrating the vibration suppression effect testing method for liquid dampers provided by this invention. Figure 8 As shown, firstly, modal analysis of the wind turbine generator 301 is performed to determine the natural frequency and modal mass of the tower 201.

[0130] Secondly, based on the natural frequency of tower 201, the critical wind speed range for tower 201 to experience second-order vortex-induced vibration is determined, and turbulent wind speed time series data corresponding to the above critical wind speed range are randomly generated.

[0131] Next, a three-dimensional flow field model of the wind turbine is established. Based on the above three-dimensional flow field model, the fluid dynamics simulation calculation of the external environment flow field of the wind turbine is performed to obtain the time series data of the force on the tower 201, and then the time series data of the aerodynamic load acting on the tower 201 are obtained.

[0132] Finally, a coupled analysis of structural dynamics and fluid dynamics is performed on the vibration system 203, including the tower 201 and the TLD damper 202, and the internal flow field of the vibration system 203, so as to obtain the detection results of the vibration suppression effect of the TLD damper.

[0133] This invention provides a complete method for detecting the vibration suppression effect of liquid dampers, which can more accurately and efficiently detect the vibration suppression effect of dampers.

[0134] Figure 9 This is a structural schematic diagram of the liquid damper vibration suppression effect testing device provided by the present invention. The following is in conjunction with... Figure 9 The vibration suppression effect testing device for liquid dampers provided by this invention is described below. The vibration suppression effect testing device described below can be referred to in correspondence with the vibration suppression effect testing method for liquid dampers provided by this invention described above. For example... Figure 9 As shown, the device includes a simulation module 901 and a detection module 902.

[0135] Simulation module 901 is used to perform fluid dynamics simulation calculations on the external environment flow field of wind turbine generators and obtain time-series data of aerodynamic loads acting on the wind turbine generator tower.

[0136] The detection module 902 is used to couple the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper based on the aerodynamic load time series data, so as to obtain the detection results of the damper's vibration suppression effect.

[0137] The vibration system includes a damper and a tower; the damper is used to suppress the vibration of the tower.

[0138] Specifically, the simulation module 901 and the detection module 902 are electrically connected.

[0139] The simulation module 901 can be used to perform fluid dynamics simulation calculations on the external environment flow field of the wind turbine based on the three-dimensional flow field model of the wind turbine, and obtain the time series data of the aerodynamic load acting on the tower.

[0140] The detection module 902 can be used to couple the structural dynamics model of the above-mentioned vibration system and the three-dimensional flow field model inside the damper based on the aerodynamic load time series data of the tower in the wind turbine generator. It can calculate at least one of the following before and after the aerodynamic load time series data is added: tower amplitude, vibration acceleration, vibration velocity, damping force, and sloshing amplitude of the liquid in the TLD damper. These can be used as the detection results of the vibration suppression effect of the TLD damper.

[0141] It should be noted that the liquid damper vibration suppression effect detection device provided in this embodiment of the invention can execute the liquid damper vibration suppression effect detection method described in any of the above embodiments during specific operation, and this embodiment will not elaborate on this.

[0142] Optionally, the detection module 902 can be specifically used to couple the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper to construct a set of dynamic equations for the vibration system; and use the aerodynamic load time series data as input conditions to solve the set of dynamic equations to obtain the detection results of the damper's vibration suppression effect.

[0143] Optionally, the detection module 902 may also include a solution unit.

[0144] The solver unit can be used to take aerodynamic load time series data as input conditions and use the Runge-Kutta method to solve the dynamic equations to obtain the amplitude, vibration velocity and vibration acceleration of the vibration system, which can be used as the detection results of the damper's vibration suppression effect.

[0145] Optionally, the solving element can also be used to incorporate the energy consumed by the fluid inside the damper due to friction when solving the dynamic equations.

[0146] Optionally, the simulation module 901 can be specifically used to randomly generate time-series wind speed data within the critical wind speed range where the tower experiences vortex-induced vibration; based on the wind speed data, perform fluid dynamics simulation calculations on the external environment flow field of the wind turbine to obtain time-series aerodynamic load data.

[0147] Optionally, the liquid damper vibration suppression effect detection device may also include a critical wind speed acquisition module.

[0148] The critical wind speed acquisition module can be used to perform modal analysis on wind turbines and obtain the modal parameters of the tower; based on the modal parameters, the critical wind speed range can be obtained.

[0149] The liquid damper vibration suppression effect detection device in this embodiment of the invention obtains the aerodynamic load time series data acting on the wind turbine tower by performing fluid dynamics simulation calculations on the external environment flow field of the wind turbine. Based on the aerodynamic load time series data, it couples the structural dynamics model of the vibration system including the damper and the tower with the three-dimensional flow field model inside the damper to obtain the detection results of the damper's vibration suppression effect. By coupling computational fluid dynamics and structural dynamics, it can analyze the flow of fluid inside the damper and the vibration response of the wind turbine tower, and introduce the influence of nonlinear damping force on the damper's vibration suppression effect, thereby enabling more accurate detection of the damper's vibration suppression effect.

[0150] Based on the above embodiments, a wind turbine generator includes: a generator body, a damper, and a device for detecting the vibration suppression effect of the liquid damper as described above.

[0151] Specifically, the damper can suppress the vibration of the tower in the generator body, and the vibration suppression effect detection device of the liquid damper described above can detect the vibration suppression effect of the damper.

[0152] The structure and specific workflow of the above-mentioned liquid damper vibration suppression effect testing device can be found in the contents of the above embodiments, and will not be repeated here.

[0153] In this embodiment of the invention, the wind turbine obtains the aerodynamic load time series data acting on the wind turbine tower by performing fluid dynamics simulation calculations on the external environment flow field of the wind turbine. Based on the aerodynamic load time series data, the structural dynamics model of the vibration system including the damper and the tower and the three-dimensional flow field model inside the damper are coupled to obtain the detection results of the damper's vibration suppression effect. By coupling computational fluid dynamics and structural dynamics, the flow of fluid inside the damper and the vibration response of the wind turbine tower can be analyzed. Furthermore, the influence of nonlinear damping force on the damper's vibration suppression effect is introduced, thereby enabling more accurate detection of the damper's vibration suppression effect.

[0154] Figure 10 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 10 As shown, the electronic device may include a processor 1010, a communication interface 1020, a memory 1030, and a communication bus 1040. The processor 1010, communication interface 1020, and memory 1030 communicate with each other via the communication bus 1040. The processor 1010 can call logical instructions in the memory 1030 to execute a method for detecting the vibration suppression effect of a liquid damper. This method includes: performing fluid dynamics simulation calculations on the external environment flow field of the wind turbine generator to obtain time-series data of aerodynamic loads acting on the wind turbine generator tower; based on the time-series data of aerodynamic loads, coupling the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper to obtain the detection results of the damper's vibration suppression effect; wherein the vibration system includes a damper and a tower; the damper is used to suppress the vibration of the tower.

[0155] Furthermore, the logical instructions in the aforementioned memory 1030 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, 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.

[0156] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein when the program instructions are executed by a computer, the computer is able to execute the liquid damper vibration suppression effect detection method provided by the above methods, the method comprising: performing fluid dynamics simulation calculations on the external environment flow field of the wind turbine generator to obtain aerodynamic load time-series data acting on the wind turbine generator tower; based on the aerodynamic load time-series data, coupling the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper to obtain the detection result of the damper vibration suppression effect; wherein the vibration system includes a damper and a tower; the damper is used to suppress the vibration of the tower.

[0157] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described methods for detecting the vibration suppression effect of liquid dampers. The method includes: performing fluid dynamics simulation calculations on the external environment flow field of a wind turbine generator to obtain time-series data of aerodynamic loads acting on the wind turbine generator tower; and coupling the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper based on the aerodynamic load time-series data to obtain detection results of the damper's vibration suppression effect; wherein the vibration system includes a damper and a tower; the damper is used to suppress the vibration of the tower.

[0158] 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.

[0159] 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.

[0160] 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 vibration suppression effect of a liquid damper, characterized in that, include: Fluid dynamics simulation calculations were performed on the external environment flow field of the wind turbine to obtain the time-series data of aerodynamic loads acting on the wind turbine tower. Based on the aerodynamic load time series data, the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper are coupled to obtain the detection results of the damper's vibration suppression effect. The vibration system includes the damper and the tower; the damper is used to suppress the vibration of the tower; the detection results of the damper's vibration suppression effect include at least one of the following: the tower's amplitude, vibration acceleration, vibration velocity, damping force, and the sloshing amplitude of the liquid inside the damper. The coupling of the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper based on the aerodynamic load time series data to obtain the detection results of the damper's vibration suppression effect includes: The structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper are coupled to construct the dynamic equations of the vibration system. Using the aerodynamic load time series data as input, the dynamic equations are solved to obtain the detection results of the damper's vibration suppression effect.

2. The method for detecting the vibration suppression effect of a liquid damper according to claim 1, characterized in that, The step of using the aerodynamic load time-series data as input to solve the dynamic equations to obtain the detection results of the damper's vibration suppression effect includes: Using the aerodynamic load time series data as input, the Runge-Kutta method is used to solve the dynamic equations to obtain the amplitude, vibration velocity, and vibration acceleration of the vibration system, which are then used as the detection results of the damper's vibration suppression effect.

3. The method for detecting the vibration suppression effect of a liquid damper according to claim 1, characterized in that, Solving the system of dynamic equations includes: When solving the dynamic equations, the energy consumed by the fluid inside the damper due to friction is introduced.

4. The method for detecting the vibration suppression effect of a liquid damper according to any one of claims 1 to 3, characterized in that, The process of performing fluid dynamics simulation calculations on the external environment flow field of the wind turbine to obtain time-series data of aerodynamic loads acting on the wind turbine tower includes: Within the critical wind speed range where the tower experiences vortex-induced vibration, wind speed data with a random time-series distribution is generated. Based on the wind speed data, fluid dynamics simulation calculations are performed on the external environment flow field of the wind turbine to obtain the aerodynamic load time series data.

5. The method for detecting the vibration suppression effect of a liquid damper according to claim 4, characterized in that, The critical wind speed range is obtained based on the following methods: Modal analysis was performed on the wind turbine to obtain the modal parameters of the tower. Based on the modal parameters, the critical wind speed range is obtained.

6. 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 program, it implements the method for detecting the vibration suppression effect of a liquid damper as described in any one of claims 1 to 5.

7. 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 method for detecting the vibration suppression effect of the liquid damper as described in any one of claims 1 to 5.

8. A device for detecting the vibration suppression effect of a liquid damper, characterized in that, include: The simulation module is used to perform fluid dynamics simulation calculations on the external environment flow field of the wind turbine and obtain the time series data of aerodynamic loads acting on the wind turbine tower. The detection module is used to couple the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper based on the aerodynamic load time series data, so as to obtain the detection results of the damper's vibration suppression effect. The vibration system includes the damper and the tower; the damper is used to suppress the vibration of the tower; the detection results of the damper's vibration suppression effect include at least one of the following: the tower's amplitude, vibration acceleration, vibration velocity, damping force, and the sloshing amplitude of the liquid inside the damper. The detection module couples the structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper based on the aerodynamic load time series data to obtain the detection results of the damper's vibration suppression effect, including: The structural dynamics model of the vibration system and the three-dimensional flow field model inside the damper are coupled to construct the dynamic equations of the vibration system. Using the aerodynamic load time series data as input, the dynamic equations are solved to obtain the detection results of the damper's vibration suppression effect.

9. A wind turbine generator, characterized in that, include: The generator body, the damper, and the vibration damping effect testing device for the liquid damper as described in claim 8.

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