Mountain photovoltaic array load analysis method and system considering shielding effect

Abstract

The invention belongs to the field of photovoltaic technology, and discloses a mountain photovoltaic array load analysis method considering a shielding effect, which comprises the following steps of: performing transient analysis (numerical method) on a photovoltaic array under the action of wind load, and then emphatically analyzing a first row of photovoltaic windward side and photovoltaic panels on the outermost periphery of the array; the pulsating pressure under the wind load is obtained, then whether the photovoltaic supports in the areas are intensified or not is evaluated and analyzed on the basis of the end, and the fatigue effect of the supports is mainly considered; and the other one is the influence of the shielding effect of the first row of photovoltaic panels on the back row of photovoltaic panels on the windward side of the array, so that the mountain photovoltaic array load can be accurately analyzed.

Description

Technical Field

[0001] This invention belongs to the field of photovoltaic technology, and in particular relates to a method and system for load analysis of mountain photovoltaic arrays that takes into account shading effects. Background Technology

[0002] Existing Technology 1: Comparison Method of Wind Tunnel Test and Standards for Wind Load on Mountain Photovoltaic Arrays

[0003] Du et al. (2024) conducted a 1:15 rigid model wind tunnel pressure test to systematically compare the surface average wind pressure distribution of mountain photovoltaic arrays under different slope angles (0°-45°) and component tilt angles (15°-30°). They compared the test results with the wind pressure coefficient values ​​in the current "Code for Design of Building Structures" and proposed a correction suggestion that "the front row on gentle slopes and the back row on steep slopes have the largest wind pressure".

[0004] Technical issues: This method significantly improves the targeting of mountain site design, but limitations still exist:

[0005] 1) Only considering the average wind pressure and ignoring the pulsating pressure and transient flow field makes it difficult to assess the cumulative fatigue effect of photovoltaic supports under strong gusts;

[0006] 2) The number of test rows is limited (three rows), which is insufficient for extrapolating the shielding-interference law of the middle and inner layers of large arrays;

[0007] 3) The rigid panel simplifies the coupling of the flexible support and components, without considering the aerodynamic-structural feedback caused by the windward swaying of the support;

[0008] 4) The wind field boundary conditions are static, and the time-sharing wind direction switching and turbulence enhancement in complex mountainous areas are not superimposed, resulting in insufficient assessment of safety reserves under extreme conditions.

[0009] Existing Technology 2: Wind Tunnel Test Study on Wind Load Interference Effect of Photovoltaic Array

[0010] Ma Wenyong et al. (2021) used a rigid model to change the number of rows, tilt angle and wind direction angle, and quantified the shading-load reduction effect of upstream modules on downstream modules. They found that "the wind pressure tends to stabilize after the first three rows, and the larger the tilt angle, the more significant the shading". They also gave the array shape coefficient correction value for wind-resistant design of large-area photovoltaic arrays on flat sites ([Chinese Journal of Mechanics][1]).

[0011] Technical issues:

[0012] 1) The terrain is assumed to be horizontal or slightly undulating—the influence of mountain undulation on the shearing, reattachment and gust amplification factor of the incoming flow is not considered, making it difficult to apply directly to complex terrain;

[0013] 2) It focuses on static wind pressure interference and lacks analysis of the coupling between the pulsating wind load spectrum and the natural frequency of the structure, which cannot guide fatigue durability and dynamic response design.

[0014] 3) The stress analysis of the support structure is limited to the extreme wind pressure level and does not extend to the stress-deformation and fatigue life verification of the support section under cyclic load;

[0015] 4) No support reinforcement or zoning design strategy was established, and the excessive stress of the first row edge components and the material redundancy after the load reduction of the rear row were not optimized.

[0016] The two closest existing technologies mentioned above have recognized the significant effects of inter-row interference and terrain factors on the wind load of photovoltaic arrays. However, there are still gaps in transient pulsating wind-structure coupling, fatigue effect assessment, complex three-dimensional flow field reproduction in mountainous areas, and support zonal reinforcement design. This provides ample room for improvement and creative focus for the proposed "mountain photovoltaic array load analysis method considering shading effect". Summary of the Invention

[0017] To address the problems existing in the prior art, this invention provides a load analysis method for mountain photovoltaic arrays that takes into account the shading effect.

[0018] This invention is implemented as follows: a load analysis method for mountain photovoltaic arrays considering shading effects includes:

[0019] Step 1: Conduct transient analysis of the photovoltaic array under wind load.

[0020] Step 2: Analyze the first row of photovoltaic panels on the windward side of the array, as well as the outermost photovoltaic panels, to obtain their pulsating pressure under wind load;

[0021] Step 3: Based on the evaluation and analysis, determine whether to focus on strengthening the photovoltaic support in these areas, mainly considering the fatigue effect of the support.

[0022] Step 4: Analyze the shading effect of the first row of photovoltaic panels on the windward side of the array on the rear row of photovoltaic panels.

[0023] Another object of the present invention is to provide a load analysis system for mountain photovoltaic arrays that takes into account shading effects, comprising:

[0024] The transient analysis module is used to perform transient analysis on photovoltaic arrays under wind load.

[0025] The pulsating pressure module is used to analyze the first row of photovoltaic panels on the windward side of the array, as well as the outermost photovoltaic panels, to obtain their pulsating pressure under wind load.

[0026] The judgment module is used to determine whether to focus on strengthening the photovoltaic support in these areas based on the evaluation and analysis, mainly considering the fatigue effect of the support.

[0027] The shading effect analysis module is used to analyze the shading effect of the first row of photovoltaic panels on the windward side of the array on the rear row of photovoltaic panels.

[0028] Another object of the present invention is to provide a computer device including a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method for analyzing the load of a mountain photovoltaic array considering shading effects.

[0029] Another object of the present invention is to provide a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform the steps of the method for analyzing the load of a mountain photovoltaic array considering shading effects.

[0030] Another objective of the present invention is to provide an information data processing terminal for implementing the mountain photovoltaic array load analysis system that takes into account the shading effect.

[0031] Based on the above technical solutions and the technical problems solved, the advantages and positive effects of the technical solution to be protected by this invention are as follows:

[0032] This invention uses transient analysis (numerical method) of photovoltaic arrays under wind load, focusing on the first row of photovoltaic panels on the windward side and the outermost photovoltaic panels of the array to obtain their pulsating pressure under wind load. Based on this, an evaluation analysis is conducted to determine whether to strengthen the photovoltaic support structure in these areas, mainly considering the fatigue effect of the support structure. Another aspect is the influence of the shading effect of the first row of photovoltaic panels on the windward side of the array on the rear row of photovoltaic panels, which can accurately analyze the load of mountain photovoltaic arrays. Attached Figure Description

[0033] Figure 1 This is a flowchart of the load analysis method for mountain photovoltaic arrays considering shading effects provided in an embodiment of the present invention.

[0034] Figure 2 This is a structural block diagram of a mountain photovoltaic array load analysis system considering shading effects, provided in an embodiment of the present invention.

[0035] Figure 3 This is a wind field model diagram provided in an embodiment of the present invention.

[0036] Figure 4 This is a diagram of a single photovoltaic panel provided in an embodiment of the present invention.

[0037] Figure 5 This is a diagram of wind speed and turbulence conditions in the near-surface atmospheric wind field provided in an embodiment of the present invention.

[0038] Figure 6 This is a profile of wind speed and turbulence intensity changes at the inlet of the numerical simulation setup provided in this embodiment of the invention.

[0039] Figure 7 This is a schematic diagram of the boundary layer grid around the photovoltaic panel and the ground provided in an embodiment of the present invention.

[0040] Figure 8 This is a graph showing the variation of vertical pressure (Fn) on the surface of each photovoltaic panel provided in an embodiment of the present invention.

[0041] Figure 9 This is a time-history graph showing the total overturning moment (My) on the surface of each photovoltaic panel provided in an embodiment of the present invention.

[0042] Figure 10 This is a wind speed cloud map of the middle cross section provided in an embodiment of the present invention.

[0043] Figure 11 This is a diagram of the verified model parameters provided in the embodiments of the present invention.

[0044] Figure 12 This is a diagram showing the setting of the computational domain boundary conditions provided in an embodiment of the present invention.

[0045] Figure 13 This is a graph showing the average pressure coefficient Cp (based on an experiment under a 0° wind angle of attack) of the upper and lower surfaces of the photovoltaic panel provided in an embodiment of the present invention.

[0046] Figure 14 This is a diagram of the photovoltaic panel drag coefficient Cd under different wind attack angles (0°-180°) provided in an embodiment of the present invention.

[0047] Figure 15 This is a diagram of the lift coefficient C1 of a photovoltaic panel under different wind attack angles (0°-180°) provided in an embodiment of the present invention.

[0048] Figure 16 This is a single-board dimension diagram provided in an embodiment of the present invention.

[0049] Figure 17 This is a photovoltaic array size diagram provided in an embodiment of the present invention.

[0050] Figure 18 This is a mesh partitioning diagram provided in an embodiment of the present invention.

[0051] Figure 19 This is a boundary condition diagram provided in an embodiment of the present invention.

[0052] Figure 20 This is a velocity cloud map of the cross-section between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array provided in an embodiment of the present invention.

[0053] Figure 21 This is a pressure cloud diagram of the cross-section between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array provided in an embodiment of the present invention.

[0054] Figure 22 This is a pressure cloud map of the photovoltaic panel surface on the upper (top) and lower (bottom) surfaces of the photovoltaic array provided in an embodiment of the present invention.

[0055] Figure 23 This is a velocity cloud map of the cross-section between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array provided in an embodiment of the present invention.

[0056] Figure 24 This is a pressure cloud diagram of the cross-section between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array provided in an embodiment of the present invention.

[0057] Figure 25 This is a pressure cloud map of the photovoltaic panel surface on the upper (top) and lower (bottom) surfaces of the photovoltaic array provided in an embodiment of the present invention.

[0058] Figure 26 This is a velocity cloud map of the cross-section between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array provided in an embodiment of the present invention.

[0059] Figure 27 This is a pressure cloud diagram of the cross-section between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array provided in an embodiment of the present invention.

[0060] Figure 28 This is a pressure cloud map of the photovoltaic panel surface on the upper (top) and lower (bottom) surfaces of the photovoltaic array provided in an embodiment of the present invention.

[0061] Figure 29 The vertical surface force Fn provided in this embodiment of the invention varies significantly in the first three rows of photovoltaic panels, but there is no obvious trend after the fourth row of photovoltaic panels.

[0062] Figure 30 The present invention provides that changing the tilt angle of the photovoltaic panel has a more significant impact on the vertical surface force Fn on the photovoltaic panel in the second row, and the vertical surface force increases accordingly as the tilt angle increases, but has a smaller impact on the vertical surface force Fn of the photovoltaic panels in other rows.

[0063] Figure 31 The overturning moment Mx provided in this embodiment of the invention varies significantly in the first three rows of photovoltaic panels, but there is no obvious trend after the fourth row of photovoltaic panels.

[0064] Figure 32This embodiment of the invention provides a diagram showing that, for photovoltaic panels in an array, as the distance between the front and rear photovoltaic panels increases, the overturning moment Mx of the photovoltaic panels gradually increases, and the effect on the overturning moment Mx of the photovoltaic panels in the second row is relatively significant.

[0065] Figure 33 The vertical force Fn provided in this embodiment of the invention varies significantly in the first three rows of photovoltaic panels, but there is no obvious trend after the fourth row of photovoltaic panels.

[0066] Figure 34 This embodiment of the invention provides a diagram showing that, for photovoltaic panels in an array, as the distance between the front and rear photovoltaic panels increases, the vertical surface force Fn of the photovoltaic panel gradually increases, and the effect on the overturning moment Mx on the photovoltaic panel in the second row is relatively significant.

[0067] Figure 35 The overturning moment Mx provided in this embodiment of the invention varies significantly in the first three rows of photovoltaic panels, but there is no obvious trend after the fourth row of photovoltaic panels.

[0068] Figure 36 This embodiment of the invention provides a diagram showing that, for photovoltaic panels in an array, as the distance between the front and rear photovoltaic panels increases, the overturning moment Mx of the photovoltaic panels gradually increases, and the effect on the overturning moment Mx of the photovoltaic panels in the second row is relatively significant. Detailed Implementation

[0069] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0070] like Figure 1 As shown, the load analysis method for mountain photovoltaic arrays considering shading effects provided by this embodiment of the invention includes the following steps:

[0071] S101, through transient analysis of photovoltaic array under wind load;

[0072] S102, analyze the first row of photovoltaic panels on the windward side of the array and the outermost photovoltaic panels to obtain their pulsating pressure under wind load;

[0073] S103, based on the evaluation and analysis, it is determined whether to focus on strengthening the photovoltaic support in these areas, mainly considering the fatigue effect of the support;

[0074] S104, Analyze the effect of the first row of photovoltaic panels on the windward side of the array on the shading effect of the rear row of photovoltaic panels.

[0075] like Figure 2As shown, an embodiment of the present invention provides a load analysis system for mountain photovoltaic arrays that considers shading effects, comprising:

[0076] The transient analysis module is used to perform transient analysis on photovoltaic arrays under wind load.

[0077] The pulsating pressure module is used to analyze the first row of photovoltaic panels on the windward side of the array, as well as the outermost photovoltaic panels, to obtain their pulsating pressure under wind load.

[0078] The judgment module is used to determine whether to focus on strengthening the photovoltaic support in these areas based on the evaluation and analysis, mainly considering the fatigue effect of the support.

[0079] The shading effect analysis module is used to analyze the shading effect of the first row of photovoltaic panels on the windward side of the array on the rear row of photovoltaic panels.

[0080] Another object of the present invention is to provide a computer device including a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method for analyzing the load of a mountain photovoltaic array considering shading effects.

[0081] Another object of the present invention is to provide a computer-readable storage medium storing a computer program that, when executed by a processor, causes the processor to perform the steps of the method for analyzing the load of a mountain photovoltaic array considering shading effects.

[0082] Another objective of the present invention is to provide an information data processing terminal for implementing the mountain photovoltaic array load analysis system that takes into account the shading effect.

[0083] Specific implementation of the present invention:

[0084] (1) Model parameters

[0085] Wind field model Figure 3 ;

[0086] Single photovoltaic panel Figure 4 ;

[0087] The wind tunnel is a full-size model with dimensions of 116.6m in length, 73.2mm in width, and 7.5m in height. Each photovoltaic panel model is 9.14m long, 1.34m wide, and 0.095m thick, and is mounted on a pair of 251 inclined trapezoidal supports with a short leg length of 0.81m.

[0088] (2) Setting the entrance boundary conditions

[0089] Based on the information obtained from the references regarding near-surface wind speed and turbulence conditions in the atmosphere Figure 5:

[0090] The numerical simulation sets the changes in wind speed and turbulence intensity profiles at the inlet. Figure 6 (Data obtained from steady-state simulations and monitoring at the inlet):

[0091] Schematic diagram of the boundary layer grid around the photovoltaic panels and on the ground. Figure 7 ;

[0092] (3) Vertical force and overturning moment on photovoltaic panel surface

[0093] The vertical pressure (Fn) on the surface of each photovoltaic panel was obtained through software monitoring. Figure 8 Total overturning moment (My) time history variation Figure 9 (Taking a 5-12 array in the k-ωsst model as an example)

[0094] Wind speed cloud in the middle cross section Figure 10 .

[0095] The specific application areas or related products of this invention.

[0096] I. Validation of Numerical Simulation Methods

[0097] 1. Validation model parameters Figure 11 and the setting of computational domain boundary conditions Figure 12

[0098] The photovoltaic panel measures 200×100×20mm, has a tilt angle of 25°, and is mounted on a cylindrical support with a diameter of 20mm.

[0099] The wind tunnel computational domain, where H is the height of the photovoltaic panel, which is 120mm.

[0100] 2. Numerical Verification

[0101] The data for numerical verification comes from Yemenici's paper.

[0102] https: / / www.sciencedirect.com / science / article / pii / S0167610521001161

[0103] Average pressure coefficient Cp on the upper and lower surfaces of the photovoltaic panel (based on experiments under 0° wind angle of attack). Figure 13 .

[0104] Figure 14 Photovoltaic panel drag coefficient Cd under different wind angles of attack (0°-180°)

[0105] Figure 15 The lift coefficient Cl of the photovoltaic panel under different wind angles of attack (0°-180°).

[0106] The pressure coefficients, lift and drag coefficients of the upper and lower surfaces of a single photovoltaic panel are compared with wind tunnel test data in the literature in the above figure. The results show that they are more consistent with the actual wind tunnel test conditions.

[0107] 3. Conclusions of numerical verification

[0108] By comparing the wind tunnel experimental data and numerical simulation results in the literature with the numerical simulation results of this study under the same working conditions, it can be found that the numerical simulation method used in this study basically conforms to the actual wind tunnel experimental conditions, indicating that the numerical simulation experimental method used in this study can be applied to actual situations.

[0109] II. Photovoltaic Array Simulation

[0110] 1. Model Parameters and Condition Settings

[0111] (1) Dimensions of a single board: Figure 16

[0112] Each photovoltaic panel measures 37.0244.788m in size and 0.033m in thickness, with the center of the panel 8.75m above the ground.

[0113] (2) Photovoltaic array size: Figure 17

[0114] The photovoltaic array consists of 10 rows and 3 columns, with a spacing of 0.3m between the edges of the left and right panels. To investigate the effects of the array's front-to-back spacing and tilt angle on wind load, three sets of spacings were set: 5.4m, 8.1m, and 10.8m, and three sets of tilt angles: 12°, 18°, and 24°.

[0115] (3) Grid generation Figure 18

[0116] Here, a Y+ value of approximately 50 is used to determine the boundary layer mesh size, resulting in a total mesh size of approximately 38.54 million. The figure below shows the Y+ value of the first boundary layer mesh on the photovoltaic panel surface, as well as the final generated volume mesh.

[0117] (4) Boundary conditions Figure 19

[0118] The top and side walls of the wind farm are set to smooth walls (no shear force), while the remaining surfaces of the wind farm, including the photovoltaic panel surfaces, are set to non-slip walls.

[0119] Wind speed conditions at the entrance: According to the "Code for Design of Building Structures" and the "Code for Design of Photovoltaic Support Structures", the terrain is classified as Class A. The basic wind pressure in Huainan over a 25-year period is [value missing]. Based on the standard values ​​of wind load and wind speed calculation formulas in the codes [details missing].

[0120] The basic wind speed is finally obtained. Based on the wind speed profile formula: , to better meet the requirements, the wind speed below 2.5m in height is set to a constant value. The turbulence intensity at the inlet is set to 13%.

[0121] (5) Solver settings

[0122] The turbulence model used was the standard k-epsilon plus standard wall function model, and the solution method used was the SIMPLEC second-order wind method in Fluent.

[0123] II. Evidence related to the technical effects obtained by the embodiments of the present invention.

[0124] 1. Results Display

[0125] (1) Result cloud map

[0126] Here is a cloud map showing the results when the front and rear spacing of the photovoltaic array is 8.1m.

[0127] a) The photovoltaic panel tilt angle is 12°

[0128] Figure 20 Velocity cloud diagrams of the cross-sections between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array.

[0129] Figure 21 Pressure cloud diagrams of the cross-sections between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array.

[0130] Figure 22 Pressure cloud maps of the upper (top) and lower (bottom) surfaces of the photovoltaic array.

[0131] b) The photovoltaic panel tilt angle is 18°

[0132] Figure 23 Velocity cloud diagrams of the cross-sections between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array.

[0133] Figure 24 Pressure cloud diagrams of the cross-sections between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array.

[0134] Figure 25 Pressure cloud maps of the upper (top) and lower (bottom) surfaces of the photovoltaic array.

[0135] c) The photovoltaic panel tilt angle is 24°

[0136] Figure 26 Velocity cloud diagrams of the cross-sections between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array.

[0137] Figure 27 Pressure cloud diagrams of the cross-sections between the outer (top) and inner (bottom) photovoltaic panels of the photovoltaic array.

[0138] Figure 28 Pressure cloud maps of the upper (top) and lower (bottom) surfaces of the photovoltaic array.

[0139] (2) Response at different tilt angles

[0140] a) Vertical surface force Fn

[0141] from Figure 29 It can be seen that the vertical force Fn varies significantly in the first three rows of photovoltaic panels, but shows no obvious trend after the fourth row. Furthermore, as the tilt angle of the photovoltaic panels increases, the "shading effect" of the first row of photovoltaic panels on the rear rows, especially on the second row, gradually increases.

[0142] from Figure 30 It can be seen that changing the tilt angle of the photovoltaic panel has a more significant impact on the vertical surface force Fn on the photovoltaic panel in the second row, and the vertical surface force increases accordingly as the tilt angle increases, but has a smaller impact on the vertical surface force Fn of the photovoltaic panels in other rows.

[0143] b) Overturning moment Mx

[0144] Figure 31 It can be seen that the overturning moment Mx varies significantly in the first three rows of photovoltaic panels, but shows no obvious trend after the fourth row. Furthermore, as the tilt angle of the photovoltaic panels increases, the "shading effect" of the first row of photovoltaic panels on the rear rows, especially on the second row, gradually increases.

[0145] Figure 32 It can be seen that for photovoltaic panels other than those in the first row, the overturning moment Mx of the photovoltaic panel gradually decreases as the tilt angle of the photovoltaic panel increases, and the effect on the overturning moment Mx of the photovoltaic panel in the second row is more significant.

[0146] (3) Different spacing

[0147] a) Vertical surface force Fn

[0148] Figure 33 It can be seen that the vertical force Fn varies significantly in the first three rows of photovoltaic panels, but shows no obvious trend after the fourth row. Furthermore, as the spacing between the photovoltaic panels increases, the "shading effect" of the first row of photovoltaic panels on the rear rows, especially on the second row, gradually increases.

[0149] Figure 34 It can be seen that for the photovoltaic panels in the array, as the distance between the front and rear photovoltaic panels increases, the vertical force Fn of the photovoltaic panel gradually increases, and it has a more significant impact on the overturning moment Mx of the photovoltaic panel in the second row.

[0150] b) Overturning moment Mx

[0151] Figure 35 It can be seen that the overturning moment Mx varies significantly in the first three rows of photovoltaic panels, but shows no obvious trend after the fourth row. Furthermore, as the spacing between the photovoltaic panels increases, the "shading effect" of the first row on the rear rows, especially on the second row, gradually increases.

[0152] Figure 36 It can be seen that for the photovoltaic panels in the array, as the distance between the front and rear photovoltaic panels increases, the overturning moment Mx of the photovoltaic panels gradually increases, and the effect on the overturning moment Mx of the photovoltaic panels in the second row is more significant.

[0153] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications, equivalent substitutions, and improvements made by those skilled in the art within the scope of the technology disclosed in the present invention, and within the spirit and principles of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for load analysis of mountain photovoltaic arrays considering shading effects, characterized in that, Includes the following steps: S1. Perform transient structural response analysis on the photovoltaic array under wind load to obtain the stress state of each plate in the array; S2. Obtain the pulsating pressure distribution of the first row of photovoltaic panels on the windward side of the array and the outermost photovoltaic panels on the array under wind load; S3. Based on the pressure distribution analysis results, determine whether fatigue strengthening design is required for the photovoltaic support structure in the above-mentioned areas; S4. Based on the shading position relationship and the influence of airflow disturbance, analyze the shading effect of the first row of photovoltaic panels on the windward side of the array on the photovoltaic panels behind it, and output the corresponding shading factor.

2. The method according to claim 1, characterized in that, The transient structural response analysis in S1 is performed by establishing a linkage model between the photovoltaic panel and the support and applying unsteady wind field data for simulation calculation.

3. The method according to claim 1, characterized in that, The pulsating pressure in S2 is obtained by time-domain distributed solution based on finite element mesh, and local densification models are set for the edge plate and corner plate.

4. The method according to claim 1, characterized in that, The fatigue assessment in S3 is based on historical load spectrum data and stress-life curve library, and the remaining life index of photovoltaic bracket is calculated by combining alternating stress.

5. The method according to claim 1, characterized in that, The shading effect analysis in S4 includes wind direction angle and spacing parameters, which are used to construct a shading matrix model and calculate the effective wind pressure correction coefficient for each photovoltaic panel in the back row.

6. A load analysis system implementing the method according to any one of claims 1-5, characterized in that, include: Transient analysis module, pulsating pressure module, judgment module, and shading effect analysis module. The transient analysis module is used to simulate the response process of the photovoltaic array under wind load. The pulsed pressure module is used to obtain the instantaneous pressure state of the photovoltaic panel in the wind field; The judgment module is used to determine whether the structure needs to be strengthened based on fatigue criteria. The shading effect analysis module is used to evaluate the shading effects between array structures.

7. The system according to claim 6, characterized in that, The transient analysis module calls the wind load database and supports simulation input of various wind condition combinations.

8. The system according to claim 6, characterized in that, The shading effect analysis module uses a combination of visible light shading path tracing method and fluid disturbance overlap algorithm to model and construct a back row correction coefficient curve.

9. A fatigue reinforcement method for photovoltaic support structures constructed based on the method described in claim 1, characterized in that, For photovoltaic brackets with fatigue life below a set threshold, their durability can be improved by adjusting the material thickness, the number of support points, and the welding process.

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