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

Abstract

The invention discloses a photovoltaic flexible support system static wind instability critical wind speed prediction and related device, and belongs to the technical field of photovoltaic power generation, and the method comprises the steps: obtaining the static wind three-component coefficients of a photovoltaic module under different wind attack angles; based on the initial wind speed and the static wind three-component coefficient of the photovoltaic module, the static wind load borne by the structure at the initial wind speed is calculated; constructing a structure balance equation based on the static wind load, solving the structure balance equation, and extracting the torsion angle of the photovoltaic module from the obtained structure displacement matrix; updating a static wind three-component coefficient and a static wind load by a torsion angle of the photovoltaic module; and under the condition that the Euclidean norm of the calm wind three-component coefficient converges, the wind speed is increased, the structure displacement matrix is updated until the calm wind instability state occurs, and the wind speed in the calm wind instability state or the previous wind speed of the wind speed in the calm wind instability state is the calm wind instability critical wind speed of the photovoltaic flexible supporting system. The method has high universality, the wind tunnel test frequency can be effectively reduced, and the engineering construction cost is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of photovoltaic power generation, and in particular relates to prediction of critical wind speed for static wind instability of a photovoltaic flexible support system and related devices. Background Art

[0002] As a new type of solar power generation system support structure, photovoltaic flexible support has been widely used in the field of photovoltaic power generation in recent years. Compared with traditional rigid supports, flexible supports have the advantages of high land comprehensive utilization efficiency, convenient installation, strong adaptability, etc., and are especially suitable for areas with complex terrain.

[0003] However, the photovoltaic flexible support is a large-span flexible cable structure and is relatively sensitive to wind loads. The static force of wind is transmitted to the component cable through the photovoltaic module, causing it to bend and twist. On the one hand, it changes the structural stiffness, and on the other hand, it changes the size of the wind load due to the change in the structural posture. With the increase of wind speed, when the resistance increment caused by the structural deformation of the component cable is less than the external load increment, static wind instability will occur, which is mainly manifested as torsional divergence caused by the lift moment. Static wind instability is a manifestation of the coupling effect of static wind load and structural deformation. The initial wind attack angle, static wind three-force coefficient, Reynolds number, nonlinearity, turbulence, etc. are the main factors affecting the static wind stability performance of the photovoltaic flexible support system. Compared with the wind-induced dynamic instability of the flexible support system, static wind instability has no precursors before it occurs, is more sudden, and is more dangerous. It should be absolutely avoided.

[0004] The traditional static wind stability analysis method is based on the theoretical formula derived from the wing section. This method is based on linear assumptions and ignores the nonlinear effects of structural geometry, materials and static wind loads. To a certain extent, it will overestimate the static wind instability wind speed, resulting in the designed photovoltaic module fixing method may not be stable enough. Under the long-term action of wind loads, the photovoltaic modules may loosen or displace due to unstable fixation, which will affect their efficiency in receiving solar energy and increase the risk of deformation, damage and even overturning of the bracket. The static wind stability test of the photovoltaic flexible support system can also be achieved through wind tunnel tests, but the cost of wind tunnel tests is relatively high. If all photovoltaic flexible bracket projects are tested for static wind stability through wind tunnel tests, it will increase the project construction cost. Summary of the invention

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

[0006] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for predicting the critical wind speed of static wind instability of a photovoltaic flexible support system, comprising: Obtain the static wind three-dimensional force coefficient of photovoltaic modules under different wind attack angles; Based on the initial wind speed and the three-part static wind force coefficient of the photovoltaic module, the static wind load on the photovoltaic module under the initial wind speed is calculated; The structural equilibrium equation is constructed based on the static wind load, and the structural equilibrium equation is solved to obtain the structural displacement matrix, from which the torsion angle of the photovoltaic module is extracted; Update the static wind three-force coefficient and static wind load according to the torsion angle of the PV module; Under the condition that the Euclidean norm of the static wind three-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 wind speed before the wind speed in the static wind instability state is the critical wind speed of static wind instability of the photovoltaic flexible support system.

[0007] Furthermore, the static wind three-dimensional force coefficient of the photovoltaic module under different wind attack angles is obtained through wind tunnel experiments or computational fluid dynamics.

[0008] Furthermore, based on the initial wind speed and the three-part static wind force coefficient of the photovoltaic module, the static wind load on the photovoltaic module under the initial wind speed is calculated, including: Calculate the drag, lift and lift moment of the photovoltaic module in the flexible support system:

[0009]

[0010]

[0011] In the formula, , and Wind attack angle The resistance, lift and lift moment of the photovoltaic module; is the air density; is the average wind speed; , and Wind attack angle The drag coefficient, lift coefficient and lift moment coefficient of the photovoltaic module; is the thickness of the photovoltaic module; is the width of the photovoltaic module; Define the global coordinate system, body axis coordinate system and wind axis coordinate system respectively; transform the static wind tri-force of 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:

[0012]

[0013]

[0014] In the formula, , and are the lateral force, vertical force and torque in the global coordinate system respectively; is the initial wind attack angle; The effective wind attack angle after the deformation of the component cable is considered.

[0015] Furthermore, the Newton-Raphson iteration method is used to solve the structural equilibrium equation.

[0016] Furthermore, the structural equilibrium equation is:

[0017] In the formula, is the structural linear elastic stiffness matrix; is the structural geometric stiffness matrix; and are self-weight and wind load respectively; is the structural displacement; is the structural displacement matrix; is the static wind load matrix.

[0018] Furthermore, the convergence of the Euclidean norm of the static wind three-force coefficient is judged by the following formula:

[0019] In the formula, is the total number of nodes where the PV panels are subjected to static wind load; is the node number subjected to static wind load; are the drag, lift and lift moment coefficients of the photovoltaic module in the current iteration step; are the drag, lift and lift moment coefficients of the PV module in the previous iteration; The first The effective wind angle of attack at each node; is the corresponding Euclidean norm convergence tolerance.

[0020] Furthermore, if the iteration does not converge at a certain wind speed level, the state of the previous wind speed level is restored, the step size is shortened, and the calculation is recalculated until the difference between two adjacent wind speeds is less than a predetermined value.

[0021] In a second aspect, the present invention provides a system for predicting critical wind speed of static wind instability of a photovoltaic flexible support system, comprising: An acquisition module is used to obtain the static wind three-force coefficient of the photovoltaic module under different attack angles; The static wind load calculation module is used to calculate the static wind load on the photovoltaic module under the initial wind speed based on the initial wind speed and the static wind three-force coefficient of the photovoltaic module; A solution module is used to construct a structural equilibrium equation based on static wind load, solve the structural equilibrium equation, obtain a structural displacement matrix, and extract the torsion angle of the photovoltaic module from the structural displacement matrix; The iteration module is used to update the static wind three-force coefficient and the static wind load according to the torsion angle of the photovoltaic module; under the condition that the Euclidean norm of the static wind three-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.

[0022] In a third aspect, the present invention provides an electronic device, comprising: at least one processor; and, 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, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for predicting the critical wind speed of static wind instability of a photovoltaic flexible support system as described in any one of the first aspects of the present invention.

[0023] In a fourth aspect, 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 of static wind instability of a photovoltaic flexible support system as described in any one of the first aspects of the present invention.

[0024] Compared with the prior art, the present invention has at least the following beneficial technical effects: The present invention is based on the finite element method, and adopts a combination of load increment and internal and external iteration. The incremental method increases the wind speed according to a specified step size, the inner iteration performs structural nonlinear calculations, and the outer iteration determines whether the photovoltaic module reaches a balanced position under the wind speed. Taking into account the nonlinearity of static wind load and geometric nonlinearity, the photovoltaic module is only subjected to a constant load as the initial state, and the optimization iterative algorithm is used to perform a full process analysis of the nonlinear static wind stability of the structure. The method of the present invention can obtain the static wind three-force coefficient of the photovoltaic module under different wind attack angles at one time through a wind tunnel test. There is no need to customize the design of wind tunnel tests for different projects or different project plans. It has strong versatility, can effectively reduce the number of wind tunnel tests, and reduce engineering construction costs.

[0025] By adopting a method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system provided by the present invention, during the structural design stage, the critical wind speed for static wind instability of the photovoltaic flexible support is controlled to be higher than the design wind speed of once in 25 years at the project location, thereby effectively avoiding static wind instability during the service life of the photovoltaic flexible support, improving the reliability of the photovoltaic power station, and reducing the economic losses caused by reduced power generation during system damage and reinforcement and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of a method for predicting the critical wind speed of static wind instability of a photovoltaic flexible support system; Figure 2 It is a schematic diagram of the coordinate system of photovoltaic modules; Figure 3 It is the solution process of three-dimensional static wind stability of photovoltaic flexible support system; Figure 4 A structural block diagram of a system for predicting critical wind speed for static wind instability of a photovoltaic flexible support system provided by an embodiment of the present invention; Figure 5 A block diagram of an electronic device according to an embodiment of the present invention.

[0027] Numbers in the figure: 1. Photovoltaic module; 2. Incoming flow direction; 3. Wind axis coordinate system; 4. Overall coordinate system; 5. Body axis coordinate system; 6. Resistance in wind axis coordinate system; 7. Lift in wind axis coordinate system; 8. Lift moment; 9. Lateral force in overall coordinate system; 10. Vertical force in overall coordinate system. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] The present invention is further described in detail below in conjunction with the accompanying drawings: Example 1 Reference Figures 1 to 3 This embodiment provides a method for predicting the critical wind speed of static wind instability of a photovoltaic flexible support system, comprising the following steps: (1) Establish a three-dimensional finite element model of the photovoltaic flexible support system.

[0031] (2) Assuming an initial wind speed ,Based on the three-dimensional finite element model of the photovoltaic flexible support system, the static wind load on the photovoltaic module (hereinafter referred to as the structure) at this wind speed is calculated.

[0032] The static wind load on the photovoltaic module 1 in the flexible support system can be decomposed into resistance, lift and lift moment:

[0033]

[0034]

[0035] In the formula, , and Wind attack angle The resistance, lift and lift moment of the photovoltaic module; is the air density; is the average wind speed; , and Wind attack angle The drag coefficient, lift coefficient and lift moment coefficient of the photovoltaic module are , and Obtained through wind tests or computational fluid dynamics; is the thickness of the photovoltaic module; is the width of the PV module.

[0036] Reference Figure 2 , the wind attack angle and the component cable torsional deformation will cause the change of the force coordinates, and define the global coordinate system 4, the body axis coordinate system 5 and the wind axis coordinate system 3 respectively. The coordinate origins of the global coordinate system, the body axis coordinate system and the wind axis coordinate system coincide and are located at the centroid. The x-axis direction of the global coordinate system is the horizontal direction, the x-axis direction of the body axis coordinate system is the axis direction of the photovoltaic module, and the x-axis direction of the wind axis coordinate system is the incoming flow direction 2. Figure 2 The figure shows the drag force 6 in the wind axis coordinate system, the lift force 7 in the wind axis coordinate system, the lift moment 8, the lateral force 9 in the global coordinate system, the vertical force 10 in the global coordinate system, and the initial wind attack angle. ; 12. Effective wind attack angle and torsion angle β。

[0037] The three static wind forces in equations (1) to (3) are in the wind axis coordinates. They need to be converted to the global coordinate system during finite element loading and calculated as follows:

[0038]

[0039]

[0040] In the formula, , and They are the lateral force 9, vertical force 10 and torque in the global coordinate system respectively; is the initial wind attack angle; is the effective wind attack angle after considering the deformation of the component cable.

[0041] (3) Use the Newton-Raphson iteration method to solve the structural equilibrium equation and obtain the structural displacement matrix ; According to the theory of spatial stability of pole structure, the static wind stability problem of photovoltaic flexible support system can be reduced to solving the structural equilibrium equation shown in formula (7):

[0042] In the formula, is the structural linear elastic stiffness matrix; is the structural geometric stiffness matrix; and are self-weight and wind load respectively; is the structural displacement; is the structural displacement matrix; is the static wind load matrix.

[0043] (4) Extract the torsion angle of the photovoltaic module from the structural displacement matrix X β (average value of torsional displacements of the left and right nodes), update the angle of attack based on the torsion angle, and recalculate the static wind three-force coefficient and the structural static wind load based on the updated angle of attack.

[0044] (5) Check whether the Euclidean norm of the three-dimensional static wind force coefficient is less than the convergence tolerance.

[0045] The Euclidean norm convergence tolerance test of the three-dimensional static wind force coefficient of the photovoltaic module is calculated as follows:

[0046] In the formula, is the total number of nodes where the PV panels are subjected to static wind load; is the node number subjected to static wind load; are the drag, lift and lift moment coefficients of the photovoltaic module in the current iteration step; are the drag, lift and lift moment coefficients of the PV module in the previous iteration; The first The effective wind angle of attack at each node; is the corresponding Euclidean norm convergence tolerance.

[0047] (6) If the Euclidean norm of the three-dimensional static wind force coefficient of the PV module is less than the allowable value, increase the wind speed by a predetermined step and repeat steps 2-5; otherwise, repeat steps 3-5.

[0048] If the iteration does not converge at a certain wind speed level, it will be restored to the previous wind speed state, the step size will be shortened, and the calculation will be recalculated until the difference between two adjacent wind speeds is less than the preset value.

[0049] (7) When the structural displacement of the PV module changes suddenly or the structural displacement of the PV module increases suddenly with the increase of wind speed, it is considered as static wind instability. The wind speed at which the sudden change occurs or the wind speed before the sudden change occurs is the critical wind speed.

[0050] Example 2 See also Figure 4 In this embodiment, a critical wind speed prediction system for static wind instability of a photovoltaic flexible support system is provided, comprising: An acquisition module is used to obtain the static wind three-force coefficient of the photovoltaic module under different attack angles; The static wind load calculation module is used to calculate the static wind load on the photovoltaic module under the initial wind speed based on the initial wind speed and the static wind three-force coefficient of the photovoltaic module; A solution module is used to construct a structural equilibrium equation based on static wind load, solve the structural equilibrium equation, obtain a structural displacement matrix, and extract the torsion angle of the photovoltaic module from the structural displacement matrix; The iteration module is used to update the static wind three-force coefficient and the static wind load according to the torsion angle of the photovoltaic module; under the condition that the Euclidean norm of the static wind three-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.

[0051] All relevant contents of each step involved in the embodiment of the above-mentioned method for predicting the critical wind speed for static wind instability of photovoltaic flexible support system can be referred to the functional description of the functional module corresponding to the system for predicting the critical wind speed for static wind instability of photovoltaic flexible support system in the embodiment of the present invention, and will not be repeated here.

[0052] Example 3 Reference Figure 5, this embodiment provides an electronic device, which includes a processor and a memory, and the processor and the memory are connected through a bus; the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute 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 (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the critical wind speed prediction method for static wind instability of photovoltaic flexible support system. The bus can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The fact that only one line is used in the diagram does not mean that there is only one bus or only one type of bus.

[0053] Example 4 This embodiment provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in electronic devices and, of course, extended storage media supported by electronic devices. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. 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 of static wind instability of a photovoltaic flexible support system in the above embodiment.

[0054] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0055] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0056] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0057] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0058] Example 5 This embodiment provides a computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program product, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0059] 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, stored data, displayed data, 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 relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0060] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0061] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for predicting the critical wind speed of static wind instability of photovoltaic flexible support system, characterized in that: include: Obtain the static wind three-dimensional force coefficient of photovoltaic modules under different wind attack angles; Based on the initial wind speed and the three-part static wind force coefficient of the photovoltaic module, the static wind load on the photovoltaic module under the initial wind speed is calculated; The structural equilibrium equation is constructed based on the static wind load, and the structural equilibrium equation is solved to obtain the structural displacement matrix, from which the torsion angle of the photovoltaic module is extracted; Update the static wind three-force coefficient and static wind load according to the torsion angle of the PV module; Under the condition that the Euclidean norm of the static wind three-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 wind speed before the wind speed in the static wind instability state is the critical wind speed of static wind instability of the photovoltaic flexible support system.

2. The method for predicting critical wind speed of static wind instability of photovoltaic flexible support system according to claim 1 is characterized in that: The static wind three-dimensional force coefficient of photovoltaic modules under different wind attack angles is obtained through wind tunnel experiments or computational fluid dynamics.

3. The method for predicting critical wind speed of static wind instability of photovoltaic flexible support system according to claim 1 is characterized in that: The calculation of the static wind load on the photovoltaic module under the initial wind speed based on the initial wind speed and the static wind three-force coefficient of the photovoltaic module includes: Calculate the drag, lift and lift moment of the photovoltaic module in the flexible support system: In the formula, , and Wind attack angle The resistance, lift and lift moment of the photovoltaic module; is the air density; is the average wind speed; , and Wind attack angle The drag coefficient, lift coefficient and lift moment coefficient of the photovoltaic module; is the thickness of the photovoltaic module; is the width of the photovoltaic module; Define the global coordinate system, body axis coordinate system and wind axis coordinate system respectively; transform the static wind tri-force of 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 are the lateral force, vertical force and torque in the global coordinate system respectively; is the initial wind attack angle; The effective wind attack angle after the deformation of the component cable is considered.

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

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

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

7. The method for predicting critical wind speed of static wind instability of photovoltaic flexible support system according to claim 1, characterized in that: If the iteration does not converge at a certain wind speed level, it will be restored to the previous wind speed state, the step size will be shortened, and the calculation will be recalculated until the difference between two adjacent wind speeds is less than the preset value.

8. The critical wind speed prediction system for static wind instability of photovoltaic flexible support system is characterized by: include: An acquisition module is used to obtain the static wind three-force coefficient of the photovoltaic module under different attack angles; The static wind load calculation module is used to calculate the static wind load on the photovoltaic module under the initial wind speed based on the initial wind speed and the static wind three-force coefficient of the photovoltaic module; A solution module is used to construct a structural equilibrium equation based on static wind load, solve the structural equilibrium equation, obtain a structural displacement matrix, and extract the torsion angle of the photovoltaic module from the structural displacement matrix; The iteration module is used to update the static wind three-force coefficient and the static wind load according to the torsion angle of the photovoltaic module; under the condition that the Euclidean norm of the static wind three-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 executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for predicting the critical wind speed of 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 a processor, the method for predicting the critical wind speed for static wind instability of a photovoltaic flexible support system according to any one of claims 1 to 7 is implemented.

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