Photovoltaic flexible support system static wind instability critical wind speed prediction and related device

Abstract

The application discloses a photovoltaic flexible support system static wind instability critical wind speed prediction and related device, belongs to photovoltaic power generation technical field, the method includes: obtaining the static wind three-component force coefficient of photovoltaic module under different wind attack angle;Based on the initial wind speed and the static wind three-component force coefficient of photovoltaic module, the static wind load suffered by the structure under the initial wind speed is calculated;Based on the static wind load, the structure balance equation is constructed, the structure balance equation is solved, and the photovoltaic module torsion angle is extracted from the obtained structure displacement matrix;The static wind three-component force coefficient and the static wind load are updated by the photovoltaic module torsion angle;Under the condition that the Euclidean norm of the static wind three-component force coefficient converges, the wind speed is increased, the structure displacement matrix is updated, until the static wind instability state occurs, and the wind speed under the static wind instability state or the previous wind speed of the wind speed under the static wind instability state is the static wind instability critical wind speed of the photovoltaic flexible support system.The application has strong universality, can effectively reduce the number of wind tunnel test, and reduces the engineering construction cost.

Description

Technical Field

[0001] This invention belongs to the field of photovoltaic power generation technology, specifically relating to the prediction of critical wind speed for static wind instability of photovoltaic flexible support systems and related devices. Background Technology

[0002] Flexible photovoltaic (PV) supports, as a novel type of support structure for solar power generation systems, have been widely used in the field of photovoltaic power generation in recent years. Compared with traditional rigid supports, flexible supports have advantages such as high land utilization efficiency, convenient installation, and strong adaptability, making them particularly suitable for areas with complex terrain.

[0003] However, photovoltaic flexible support systems are large-span flexible cable structures, making them highly sensitive to wind loads. The static force of wind is transmitted through the photovoltaic modules to the cable structure, causing bending and torsional deformation. This alters the structural stiffness and changes the magnitude of the wind load due to changes in structural attitude. As wind speed increases, when the increase in resistance caused by the structural deformation of the cable structure is less than the increase in external load, wind-induced instability occurs, primarily manifested as torsional divergence caused by lift moment. Wind-induced instability is a manifestation of the coupling effect between static wind load and structural deformation. Initial wind angle of attack, wind force coefficients, Reynolds number, nonlinearity, and turbulence are the main factors affecting the wind-induced stability of photovoltaic flexible support systems. Compared to wind-induced dynamic instability in flexible support systems, wind-induced instability occurs without any warning, is highly sudden, and is far more dangerous; therefore, its occurrence should be absolutely avoided.

[0004] Traditional methods for analyzing wind stability are based on theoretical formulas derived from airfoil cross-sections. This method, based on linear assumptions, ignores the nonlinear effects of structural geometry, materials, and wind loads. To some extent, it may overestimate the wind speed at which wind instability occurs, leading to potentially unstable fixing methods for photovoltaic modules. Under long-term wind loads, photovoltaic modules may loosen or shift due to unstable fixing, thus affecting their solar energy reception efficiency and increasing the risk of support deformation, damage, or even overturning. Wind stability testing of flexible photovoltaic support systems can also be achieved through wind tunnel testing, but wind tunnel testing is relatively expensive. Testing the wind stability of all flexible photovoltaic support projects through wind tunnels would increase project construction costs. Summary of the Invention

[0005] The purpose of this invention is to provide a device for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system and related devices. It has strong versatility, can effectively reduce the number of wind tunnel tests, and reduce engineering construction costs.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] In a first aspect, the present invention provides a method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system, comprising:

[0008] Obtain the three-component force coefficients of photovoltaic modules under different wind angles of attack;

[0009] Based on the initial wind speed and the three-component force coefficient of the photovoltaic module, the static wind load on the photovoltaic module under the initial wind speed is calculated.

[0010] Structural equilibrium equations are constructed based on static wind loads, and the structural equilibrium equations are solved to obtain the structural displacement matrix. The torsional angle of the photovoltaic module is then extracted from the structural displacement matrix.

[0011] Update the static wind force coefficient and static wind load based on the torsion angle of the photovoltaic module;

[0012] Under the condition that the Euclidean norm of the three-component force coefficients in calm wind converges, the wind speed is increased and the structural displacement matrix is ​​updated until calm wind instability occurs. The wind speed in calm wind instability or the wind speed before calm wind instability is the critical wind speed for calm wind instability of the photovoltaic flexible support system.

[0013] Furthermore, the static wind force coefficients of photovoltaic modules under different wind attack angles can be obtained through wind tunnel experiments or computational fluid dynamics.

[0014] Furthermore, based on the initial wind speed and the static wind force coefficients of the photovoltaic modules, the static wind load on the photovoltaic modules at the initial wind speed is calculated, including:

[0015] Calculate the drag, lift, and lift torque experienced by the photovoltaic modules in the flexible support system:

[0016]

[0017]

[0018]

[0019] In the formula, , and respectively wind attack angle The drag, lift, and lift torque experienced by the photovoltaic module; air density; Average wind speed; , and respectively wind attack angle The drag coefficient, lift coefficient, and lift moment coefficient of photovoltaic modules; For the thickness of photovoltaic modules; Width of the photovoltaic module;

[0020] Define the global coordinate system, the body axis coordinate system, and the wind axis coordinate system respectively; transform the three static wind forces in equations (1) to (3) into the global coordinate system according to the following formula to obtain the lateral force, vertical force, and torque in the global coordinate system:

[0021]

[0022]

[0023]

[0024] In the formula, , and These represent the horizontal force, vertical force, and torque in the global coordinate system, respectively. This is the initial angle of attack. The effective angle of attack after the component cable deformation was taken into account.

[0025] Furthermore, the Newton-Raphson iterative method is used to solve the structural equilibrium equations.

[0026] Furthermore, the structural equilibrium equations are as follows:

[0027] In the formula, Here is the linear elastic stiffness matrix of the structure; Here is the structural geometric stiffness matrix; and These are, respectively, self-weight and wind load; For structural displacement; Here is the structural displacement matrix; This is the static wind load matrix.

[0028] Furthermore, the convergence of the Euclidean norm of the three-component force coefficients in still wind is determined by the following formula:

[0029]

[0030] In the formula, This represents the total number of nodes in the photovoltaic module subjected to static wind loads. The node number is the node subjected to static wind load. The drag, lift, and lift moment coefficients of the photovoltaic module in the current iteration step; The drag, lift, and lift moment coefficients of the photovoltaic module in the previous iteration step; The first under static wind load The effective angle of attack of each node; It is the corresponding Euclidean norm convergence tolerance.

[0031] Furthermore, if the iteration fails to converge at a certain wind speed, the system reverts to the previous wind speed level, shortens the step size, and recalculates until the difference between two adjacent wind speeds is less than a predetermined value.

[0032] Secondly, the present invention provides a critical wind speed prediction system for static wind instability of a photovoltaic flexible support system, comprising:

[0033] The acquisition module is used to obtain the static wind force coefficients of photovoltaic modules under different angles of attack.

[0034] The static wind load calculation module is used to calculate the static wind load on the photovoltaic module at the initial wind speed based on the initial wind speed and the static wind force coefficient of the photovoltaic module.

[0035] The solver module is used to construct the structural equilibrium equations based on static wind loads, solve the structural equilibrium equations, obtain the structural displacement matrix, and extract the torsion angle of the photovoltaic module from the structural displacement matrix.

[0036] The iterative module is used to update the static wind force coefficient and static wind load based on the torsion angle of the photovoltaic module. Under the condition that the Euclidean norm of the static wind force coefficient converges, the wind speed is increased and the structural displacement matrix is ​​updated until a static wind instability state occurs. The wind speed in the static wind instability state or the previous wind speed in the static wind instability state is the critical wind speed for static wind instability of the photovoltaic flexible support system.

[0037] Thirdly, the present invention provides an electronic device, comprising:

[0038] At least one processor; and,

[0039] A memory communicatively connected to the at least one processor; wherein,

[0040] The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method for predicting critical wind speed for static wind instability of a photovoltaic flexible support system as described in any one of the first aspects of the present invention.

[0041] Fourthly, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system as described in any one of the first aspects of the present invention.

[0042] Compared with the prior art, the present invention has at least the following beneficial technical effects:

[0043] This invention, based on the finite element method, employs a combination of incremental load calculations and internal / external iterations. The incremental method increases the wind speed in specified steps, with the inner iteration performing structural nonlinear calculations and the outer iteration determining whether the photovoltaic (PV) module has reached its equilibrium position at that wind speed. Considering both static wind load nonlinearity and geometric nonlinearity, and assuming the PV module is only subjected to a constant load as the initial state, an optimized iterative algorithm is used to analyze the entire process of nonlinear static wind stability of the structure. The method described in this invention can obtain the static wind force coefficients of the PV module under different wind attack angles in a single wind tunnel test. It eliminates the need for customized wind tunnel tests for different projects or different project schemes, exhibiting strong versatility and effectively reducing the number of wind tunnel tests and engineering construction costs.

[0044] The present invention provides a method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system. By controlling the critical wind speed for static wind instability of the photovoltaic flexible support to be higher than the 25-year return period design wind speed of the project site during the structural design stage, the static wind instability phenomenon of the photovoltaic flexible support can be effectively avoided during the service life of the photovoltaic flexible support, thereby improving the reliability of the photovoltaic power station and reducing the economic losses caused by system damage and reduced power generation during reinforcement and maintenance. Attached Figure Description

[0045] Figure 1 This is a schematic diagram of the method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system.

[0046] Figure 2 This is a schematic diagram of the coordinate system for photovoltaic modules;

[0047] Figure 3 This is the solution process for the three-dimensional static wind stability of a photovoltaic flexible support system;

[0048] Figure 4 This is a structural block diagram of the critical wind speed prediction system for static wind instability of a photovoltaic flexible support system provided in an embodiment of the present invention;

[0049] Figure 5 This is a block diagram of an electronic device according to an embodiment of the present invention.

[0050] The following are the labels in the diagram: 1. Photovoltaic module; 2. Flow direction; 3. Wind axis coordinate system; 4. Global coordinate system; 5. Body axis coordinate system; 6. Drag in the wind axis coordinate system; 7. Lift in the wind axis coordinate system; 8. Lift torque; 9. Lateral force in the global coordinate system; 10. Vertical force in the global coordinate system. Detailed Implementation

[0051] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0052] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0053] The present invention will now be described in further detail with reference to the accompanying drawings:

[0054] Example 1

[0055] Reference Figures 1 to 3 This embodiment provides a method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system, including the following steps:

[0056] (1) Establish a three-dimensional finite element model of the photovoltaic flexible support system.

[0057] (2) Assume an initial wind speed The static wind load on the photovoltaic module (hereinafter referred to as the structure) under the wind speed was calculated based on the three-dimensional finite element model of the photovoltaic flexible support system.

[0058] The static wind load on photovoltaic module 1 in the flexible support system can be decomposed into drag, lift, and lift moment:

[0059]

[0060]

[0061]

[0062] In the formula, , and respectively wind attack angle The drag, lift, and lift torque experienced by the photovoltaic module; air density; Average wind speed; , and respectively wind attack angle The drag coefficient, lift coefficient, and lift moment coefficient of photovoltaic modules. , and Obtained through wind-driven experiments or computational fluid dynamics; For the thickness of photovoltaic modules; The width of the photovoltaic module.

[0063] Reference Figure 2 The wind angle of attack and the torsional deformation of the module cables will cause changes in the coordinates of the forces. We define a global coordinate system (4), a body-axis coordinate system (5), and a wind-axis coordinate system (3). The origins of the global, body-axis, and wind-axis coordinate systems coincide at the centroid. The x-axis of the global coordinate system is horizontal, the x-axis of the body-axis coordinate system is the axis of the photovoltaic module, and the x-axis of the wind-axis coordinate system is the direction of the incoming flow (2). Figure 2 The diagram shows drag (6), lift (7), and lift moment (8) in the wind axis coordinate system, lateral force (9) in the global coordinate system, and vertical force (10) in the global coordinate system, as well as the initial angle of attack. 12. Effective angle of attack and twist angle β。

[0064] The three components of the static wind force in equations (1) to (3) are located in the wind axis coordinate system. When performing finite element loading, it is necessary to transform to the global coordinate system and calculate using the following formula:

[0065]

[0066]

[0067]

[0068] In the formula, , and These are the horizontal force 9, the vertical force 10, and the torque in the global coordinate system, respectively. This is the initial angle of attack. It takes into account the effective angle of attack of the component cable after deformation.

[0069] (3) The structural displacement matrix is ​​obtained by solving the structural equilibrium equations using the Newton-Raphson iterative method. ;

[0070] According to the spatial stability theory of pole structures, the static wind stability problem of photovoltaic flexible support systems can be reduced to solving the structural equilibrium equations shown in equation (7):

[0071]

[0072] In the formula, Here is the linear elastic stiffness matrix of the structure; Here is the structural geometric stiffness matrix; and These are, respectively, self-weight and wind load; For structural displacement; Here is the structural displacement matrix; This is the static wind load matrix.

[0073] (4) Extract the torsion angle of the photovoltaic module from the structural displacement matrix X. β (Average torsional displacement of the left and right nodes), update the angle of attack based on the torsional angle, and recalculate the three-component force coefficients of the still wind and the still wind load of the structure based on the updated angle of attack.

[0074] (5) Check whether the Euclidean norm of the three-component force coefficient of the still wind is less than the convergence tolerance.

[0075] The Euclidean norm convergence tolerance test of the static wind force coefficient of photovoltaic modules is calculated using the following formula:

[0076]

[0077] In the formula, This represents the total number of nodes in the photovoltaic module subjected to static wind loads. The node number is the node subjected to static wind load. The drag, lift, and lift moment coefficients of the photovoltaic module in the current iteration step; The drag, lift, and lift moment coefficients of the photovoltaic module in the previous iteration step; The first under static wind load The effective angle of attack of each node; It is the corresponding Euclidean norm convergence tolerance.

[0078] (6) If the Euclidean norm of the static wind force coefficient of the photovoltaic module is less than the allowable value, the wind speed is increased by a predetermined step size, and steps 2-5 are repeated; otherwise, steps 3-5 are repeated.

[0079] If the iteration fails to converge at a certain wind speed, the system will revert to the previous wind speed level, shorten the step size, and recalculate until the difference between two adjacent wind speeds is less than the predetermined value.

[0080] (7) When the structural displacement of the photovoltaic module changes abruptly or the structural displacement of the photovoltaic module suddenly increases with the increase of wind speed, it is considered to be a calm wind instability. The wind speed at the time of the change or the wind speed before the change is taken as the critical wind speed.

[0081] Example 2

[0082] Please see Figure 4 In this embodiment, a critical wind speed prediction system for static wind instability of a photovoltaic flexible support system is provided, comprising:

[0083] The acquisition module is used to obtain the static wind force coefficients of photovoltaic modules under different angles of attack.

[0084] The static wind load calculation module is used to calculate the static wind load on the photovoltaic module at the initial wind speed based on the initial wind speed and the static wind force coefficient of the photovoltaic module.

[0085] The solver module is used to construct the structural equilibrium equations based on static wind loads, solve the structural equilibrium equations, obtain the structural displacement matrix, and extract the torsion angle of the photovoltaic module from the structural displacement matrix.

[0086] The iterative module is used to update the static wind force coefficient and static wind load based on the torsion angle of the photovoltaic module. Under the condition that the Euclidean norm of the static wind force coefficient converges, the wind speed is increased and the structural displacement matrix is ​​updated until a static wind instability state occurs. The wind speed in the static wind instability state or the previous wind speed in the static wind instability state is the critical wind speed for static wind instability of the photovoltaic flexible support system.

[0087] All relevant content of each step involved in the aforementioned embodiments of the photovoltaic flexible support system static wind instability critical wind speed prediction method can be referenced from the functional description of the corresponding functional module of the photovoltaic flexible support system static wind instability critical wind speed prediction system in the embodiments of the present invention, and will not be repeated here.

[0088] Example 3

[0089] Reference Figure 5This embodiment provides an electronic device including a processor and a memory, with the processor and memory connected via a bus. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve corresponding method flows or corresponding functions. The processor described in this embodiment can be used for the operation of the critical wind speed prediction method for static wind instability of a photovoltaic flexible support system. The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. Buses can be categorized into address buses, data buses, control buses, etc. For ease of representation, Figure 5 The symbol is represented by only one line, but this does not mean that there is only one bus or one type of bus.

[0090] Example 4

[0091] This embodiment provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in an electronic device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the electronic device and extended storage media supported by the electronic device. The computer-readable storage medium provides storage space that stores the terminal's operating system. Furthermore, this storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the method for predicting the critical wind speed for static wind instability of the photovoltaic flexible support system in the above embodiment.

[0092] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0093] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0094] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1The function specified in one or more boxes.

[0095] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0096] Example 5

[0097] This embodiment provides a computer program product, including a non-volatile computer-readable storage medium storing the computer program product. When the computer program is executed by a processor, it implements the steps of the methods described in various embodiments of this application.

[0098] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0099] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0100] 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 it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the protection scope of the claims of the present invention.

Claims

1. A method for predicting the critical wind speed for static wind instability in a photovoltaic flexible support system, characterized in that, include: Obtain the three-component force coefficients of photovoltaic modules under different wind angles of attack; Based on the initial wind speed and the three-component force coefficient of the photovoltaic module, the static wind load on the photovoltaic module under the initial wind speed is calculated. Structural equilibrium equations are constructed based on static wind loads, and the structural equilibrium equations are solved to obtain the structural displacement matrix. The torsional angle of the photovoltaic module is then extracted from the structural displacement matrix. Update the static wind force coefficient and static wind load based on the torsion angle of the photovoltaic module; Under the condition that the Euclidean norm of the three-component force coefficients in calm wind converges, the wind speed is increased and the structural displacement matrix is ​​updated until calm wind instability occurs. The wind speed in calm wind instability or the wind speed before calm wind instability is the critical wind speed for calm wind instability of the photovoltaic flexible support system.

2. The method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system according to claim 1, characterized in that, The static wind force coefficients of photovoltaic modules under different wind attack angles are obtained through wind tunnel experiments or computational fluid dynamics.

3. The method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system according to claim 1, characterized in that, The calculation of the static wind load on the photovoltaic module at the initial wind speed, based on the initial wind speed and the static wind force coefficient of the photovoltaic module, includes: Calculate the drag, lift, and lift torque experienced by the photovoltaic modules in the flexible support system: In the formula, , and respectively wind attack angle The drag, lift, and lift torque experienced by the photovoltaic module; air density; Average wind speed; , and respectively wind attack angle The drag coefficient, lift coefficient, and lift moment coefficient of photovoltaic modules; For the thickness of photovoltaic modules; Width of the photovoltaic module; Define the global coordinate system, the body axis coordinate system, and the wind axis coordinate system respectively; transform the three static wind forces in equations (1) to (3) into the global coordinate system according to the following formula to obtain the lateral force, vertical force, and torque in the global coordinate system: In the formula, , and These represent the horizontal force, vertical force, and torque in the global coordinate system, respectively. This is the initial angle of attack. The effective angle of attack after the component cable deformation was taken into account.

4. The method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system according to claim 1, characterized in that, The Newton-Raphson iterative method was used to solve the structural equilibrium equations.

5. The method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system according to claim 1, characterized in that, The structural equilibrium equation is: In the formula, Here is the linear elastic stiffness matrix of the structure; Here is the structural geometric stiffness matrix; and These are, respectively, self-weight and wind load; For structural displacement; Here is the structural displacement matrix; This is the static wind load matrix.

6. The method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system according to claim 1, characterized in that, The convergence of the Euclidean norm of the three-component force coefficients in still wind is determined by the following formula: In the formula, This represents the total number of nodes in the photovoltaic module subjected to static wind loads. The node number is the node subjected to static wind load. The drag, lift, and lift moment coefficients of the photovoltaic module in the current iteration step; The drag, lift, and lift moment coefficients of the photovoltaic module in the previous iteration step; The first under static wind load The effective angle of attack of each node; It is the corresponding Euclidean norm convergence tolerance.

7. The method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system according to claim 1, characterized in that, If the iteration fails to converge at a certain wind speed, the system will revert to the previous wind speed level, shorten the step size, and recalculate until the difference between two adjacent wind speeds is less than the predetermined value.

8. A critical wind speed prediction system for static wind instability of a photovoltaic flexible support system, characterized in that, include: The acquisition module is used to obtain the static wind force coefficients of photovoltaic modules under different angles of attack. The static wind load calculation module is used to calculate the static wind load on the photovoltaic module at the initial wind speed based on the initial wind speed and the static wind force coefficient of the photovoltaic module. The solver module is used to construct the structural equilibrium equations based on static wind loads, solve the structural equilibrium equations, obtain the structural displacement matrix, and extract the torsion angle of the photovoltaic module from the structural displacement matrix. The iterative module is used to update the static wind force coefficient and static wind load based on the torsion angle of the photovoltaic module. Under the condition that the Euclidean norm of the static wind force coefficient converges, the wind speed is increased and the structural displacement matrix is ​​updated until a static wind instability state occurs. The wind speed in the static wind instability state or the previous wind speed in the static wind instability state is the critical wind speed for static wind instability of the photovoltaic flexible support system.

9. An electronic device, characterized in that, include: At least one processor; as well as, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, which, when executed by the at least one processor, enables the at least one processor to perform the method for predicting critical wind speed for static wind instability of a photovoltaic flexible support system as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the method for predicting the critical wind speed of static wind instability of the photovoltaic flexible support system as described in any one of claims 1 to 7.

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