Wind disturbance intensity evaluation method and system for photovoltaic tracking support and wind-avoiding posture adjustment method and system

Abstract

The present application relates to photovoltaic power generation technology field, disclose a photovoltaic tracking support wind disturbance intensity evaluation, sheltered posture adjustment method and system. In which the wind disturbance intensity evaluation method through time series average wind speed and wind direction data, by wind speed weighted vector superposition solution leading wind direction, combined with the support plane coordinate point product operation quantification single wind disturbance intensity, can be with real-time leading wind direction dynamic characterization relative wind degree; Single station posture adjustment method is based on wind disturbance intensity division five gears, using the circumferential angle interpolation fusion local and field wind direction realizes differentiated posture adjustment; Cluster posture adjustment method is sorted according to wind disturbance intensity and divided into three wind receiving areas, after zoning unified posture adjustment, each station is checked. The present application can effectively improve the overall and single station equipment of cluster sheltered regulation accuracy, reduce unnecessary mechanical loss, while guaranteeing the safety of support structure, give consideration to power generation benefit, suitable for various cluster photovoltaic power station.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic power generation technology, specifically a method for assessing the wind disturbance intensity of a photovoltaic tracking bracket, a method for adjusting the wind-sheltered attitude of a single photovoltaic tracking bracket, a method for adjusting the wind-sheltered attitude of a group of photovoltaic tracking brackets, and a system for adjusting the wind-sheltered attitude of a group of photovoltaic tracking brackets. Background Technology

[0002] With the widespread application of photovoltaic tracking brackets in large-scale ground-mounted photovoltaic power plants, wind load has become a key environmental factor affecting the structural safety, service life and power generation efficiency of the brackets. Accurate assessment of wind disturbance intensity is the core prerequisite for achieving adaptive wind avoidance control.

[0003] Currently, the industry generally uses a holistic evaluation method to assess the wind disturbance intensity of photovoltaic (PV) tracking brackets: using a uniform wind direction across the entire site as a benchmark, the overall wind disturbance level is judged by the angle between the PV panel surface and the wind direction. It is generally believed that the closer the angle between the panel surface and the wind direction is to perpendicular and the higher the ambient wind speed, the greater the corresponding wind disturbance intensity. When adjusting for wind protection, the posture of all PV tracking brackets across the entire site is uniformly adjusted to reduce the angle between the panel surface and the wind direction, thereby reducing the overall wind disturbance. Although this holistic control method can reduce wind load risk to a certain extent, its accuracy is insufficient in practical applications: for clustered PV tracking bracket groups, due to factors such as wake effect, local shading, and differences in turbulence distribution, the actual degree of wind disturbance experienced by brackets at different locations within the group varies significantly, and not every PV tracking bracket needs to be adjusted for wind protection; the uniform control mode will cause unnecessary mechanical rotational losses in brackets that are less affected by the wind, shortening the equipment's lifespan, while unnecessarily sacrificing the PV power generation time, making it difficult to achieve the optimal balance between wind protection safety and power generation efficiency.

[0004] To address the issue of insufficient precision in overall unified control, some management schemes adopt a fixed zoning approach. This involves pre-dividing the photovoltaic tracking bracket array into several preset zones, such as windward, transition, and leeward zones, according to fixed rows and columns, and setting differentiated wind-avoidance strategies for different zones. However, this fixed zoning method is only suitable for scenarios where the prevailing wind direction and the cluster distribution direction are fixed. In actual natural wind fields, the prevailing wind direction often deviates. Once the wind direction deviates from the preset direction, the pre-defined zoning boundaries become misaligned with the actual wind-affected level. The originally designated windward area may become a crosswind or leeward area, resulting in a serious discrepancy between the zoning control basis and the actual wind disturbance distribution. It still cannot accurately reflect the actual wind exposure of each photovoltaic tracking bracket, and the accuracy of wind-avoidance control cannot be effectively guaranteed.

[0005] It is evident that the existing technology lacks a wind disturbance intensity assessment method that can dynamically adapt to the real-time prevailing wind direction and accurately quantify the relative wind exposure of a single photovoltaic tracking bracket, which restricts the accuracy of wind avoidance control of photovoltaic tracking brackets and therefore urgently needs to be solved. Summary of the Invention

[0006] To address the technical problem of insufficient accuracy in wind protection control caused by the inability of existing photovoltaic (PV) tracking brackets to accurately quantify the relative wind exposure of individual brackets within a cluster in accordance with real-time dynamic changes in the prevailing wind direction due to their unified overall assessment of wind disturbance intensity, this invention provides a method for assessing the wind disturbance intensity of PV tracking brackets and a method for adjusting the wind protection posture of a single PV tracking bracket. Furthermore, to address the technical problem of poor wind protection adjustment performance for some PV tracking brackets due to their fixed zoning, which prevents them from dynamically adapting to the real-time prevailing wind direction, this invention provides a method for adjusting the wind protection posture of a PV tracking bracket group and a system for adjusting the wind protection posture of a PV tracking bracket group.

[0007] To achieve the above objectives, the present invention provides the following technical solution: A method for assessing the wind disturbance intensity of a photovoltaic tracking bracket includes the following assessment steps: Within a preset time window, the wind speed v of each photovoltaic tracking bracket in the target photovoltaic tracking bracket group is collected simultaneously. k and wind direction angle θ k , where k is the photovoltaic tracking bracket number, and the total number of photovoltaic tracking brackets is K; θ k Convert to the corresponding wind direction vector ; With each v k As weight, for all By performing weighted summation, the dominant wind direction vector of the target photovoltaic tracking bracket group is obtained. ; Calculate the modulus |V| of V, and normalize V to obtain the dominant wind direction unit vector e=V / |V| of the target photovoltaic tracking support group within the current time window; Retrieve the center plane coordinates P of the k-th photovoltaic tracking bracket k =(x k ,y k ), for P k Performing a two-dimensional vector dot product operation with e yields the wind disturbance intensity s, which characterizes the photovoltaic tracking bracket. k =P k ·e.

[0008] As a further improvement to the above scheme: when collecting wind speed and wind direction angle data for each photovoltaic tracking bracket, multiple sets of time-series sampling data within a preset time window are selected, and the window-average wind speed and window-average wind direction angle for each photovoltaic tracking bracket are calculated respectively, and used as the wind speed v k and wind direction angle θ k It participates in the calculation of V.

[0009] A method for adjusting the wind-sheltered attitude of a single photovoltaic tracking bracket includes the following adjustment steps: The wind disturbance intensity of the current photovoltaic tracking bracket is calculated using a method for evaluating the wind disturbance intensity of the photovoltaic tracking bracket. The wind disturbance intensity was compared with multi-level thresholds to divide it into five levels: extreme forced wind avoidance, high wind disturbance, medium wind disturbance, low wind disturbance, and no wind disturbance. Based on the current position and the wind direction angle θ of the current photovoltaic tracking bracket. k The prevailing wind direction angle θ corresponding to the prevailing wind direction vector V across the entire field e The wind-avoidance posture of the photovoltaic tracking bracket is adjusted according to the preset single-unit posture adjustment strategy; After completing this wind-sheltered attitude adjustment, the next time window will begin, and the wind-sheltered attitude adjustment for each unit will be performed periodically.

[0010] As a further improvement to the above scheme: The four-quadrant arctangent function arctan2(e y ,e x The prevailing wind direction unit vector e is converted to obtain the corresponding overall prevailing wind direction angle θ. e , where e y e x These are the components of e along the X and Y axes of the Earth coordinate system, respectively.

[0011] As a further improvement to the above scheme, the single-unit attitude adjustment strategy is specifically expressed as follows: When in the extreme forced wind avoidance mode, the current photovoltaic tracking bracket is directly rotated to the preset limit safety attitude angle; when in the high wind disturbance mode, the photovoltaic panel surface of the current photovoltaic tracking bracket is aligned with θ. k The directions are parallel; when in a medium wind disturbance setting, the photovoltaic panel surface of the current photovoltaic tracking bracket is parallel to θ. k and θ e The direction of the middle angle; when in the low wind disturbance setting, so that the photovoltaic panel surface of the current photovoltaic tracking bracket is aligned with θ. e The directions are parallel; when in the windless mode, the photovoltaic tracking bracket returns to the preset solar tracking position corresponding to the current moment.

[0012] As a further improvement to the above scheme: θ k and θ eThe steps for calculating the intermediate angle are as follows: Calculate θ k and θ e The absolute angle difference; if the absolute angle difference is less than or equal to 180°, then θ k and θ e The arithmetic mean of the angles is used as the initial intermediate angle; if the absolute angle difference is greater than 180°, according to the shortest path rule of the circle, (θ) is used as the initial intermediate angle. k +θ e The result of the calculation (+360°) / 2 is used as the initial intermediate angle; the initial intermediate angle is normalized: if the initial intermediate angle is greater than 360°, then 360° is subtracted from it, and the final intermediate angle with a value range of 0~360° is obtained.

[0013] A method for adjusting the wind-sheltered attitude of a photovoltaic tracking bracket group includes the following adjustment steps: The wind disturbance intensity of each photovoltaic tracking bracket in the group was calculated using the photovoltaic tracking bracket wind disturbance intensity assessment method. Based on the wind disturbance intensity of all photovoltaic tracking brackets, the photovoltaic tracking bracket group is divided into three wind-receiving areas: the leading wind-receiving layer, the wake transition layer, and the wake attenuation layer. The regional comprehensive wind disturbance intensity and regional representative wind direction of each wind-affected area are calculated separately. The regional comprehensive wind disturbance intensity is compared with multi-level thresholds, and each area is uniformly divided into five levels: extreme forced wind avoidance, high wind disturbance, medium wind disturbance, low wind disturbance and no wind disturbance. Combining the regional representative wind direction with the prevailing wind angle θ for the entire field e The wind-sheltered posture of each area is uniformly adjusted according to the preset group posture adjustment strategy; After completing the unified adjustment of the windward posture in the wind-receiving area, the position of all photovoltaic panels in the group was checked one by one. For photovoltaic panels whose positions were not aligned with the wind direction angle θ of the corresponding photovoltaic tracking bracket, the positions were checked individually. k With the prevailing wind angle θ e The photovoltaic tracking brackets between them are adjusted to wind-sheltered attitudes individually according to the method for adjusting the wind-sheltered attitude of a single photovoltaic tracking bracket. After completing this group's wind-sheltered posture adjustment, the next time window will begin, and the group's wind-sheltered posture adjustment will be performed periodically.

[0014] As a further improvement to the above scheme: the regional comprehensive wind disturbance intensity is the maximum value of the wind disturbance intensity of all photovoltaic tracking brackets in the same wind-receiving area, or the arithmetic mean of the wind disturbance intensity of all photovoltaic tracking brackets in the same wind-receiving area. The regional representative wind direction is obtained through the following steps: First, the wind direction angle of each photovoltaic tracking bracket in the same wind-receiving area is converted into the corresponding wind direction vector. Then, all wind direction vectors are weighted and superimposed using the wind speed of each photovoltaic tracking bracket in the wind-receiving area to obtain the regional wind direction vector. The magnitude of the regional wind direction vector is calculated and normalized to obtain the regional dominant wind direction unit vector. Finally, the regional representative wind direction is obtained by converting the four-quadrant arctangent function.

[0015] As a further improvement to the above scheme, the group attitude adjustment strategy is specifically expressed as follows: When in the extreme forced wind avoidance mode, all photovoltaic tracking brackets in the current wind-affected area are directly rotated to the preset limit safety attitude angle; when in the high wind disturbance mode, the photovoltaic panels of all photovoltaic tracking brackets in the current wind-affected area are made parallel to the direction of the regional representative wind direction of the current wind-affected area; when in the medium wind disturbance mode, the photovoltaic panels of all photovoltaic tracking brackets in the current wind-affected area are made parallel to the regional representative wind direction and θ of the current wind-affected area. e The direction of the midpoint angle; when in the low wind disturbance setting, aligning the photovoltaic panels of all photovoltaic tracking brackets within the current wind-affected area with θ. e The directions are parallel; when in the windless mode, all photovoltaic tracking brackets in the current wind-affected area are restored to the preset solar tracking position corresponding to the current moment.

[0016] A photovoltaic tracking support group wind-avoidance attitude adjustment system includes a data acquisition unit, a wind disturbance intensity assessment unit, and an attitude adjustment unit; The data acquisition unit is used to collect wind speed and wind direction angle data for each photovoltaic tracking bracket; The wind disturbance intensity assessment unit is used to execute the wind disturbance intensity assessment method for photovoltaic tracking brackets and obtain the corresponding wind disturbance intensity. The attitude adjustment unit includes a single-unit adjustment submodule and a cluster partition adjustment submodule. The single-unit adjustment submodule executes the wind-sheltered attitude adjustment method for a single photovoltaic tracking bracket, and the cluster partition adjustment submodule executes the wind-sheltered attitude adjustment method for a group of photovoltaic tracking brackets to complete the corresponding wind-sheltered attitude adjustment.

[0017] Compared with the prior art, the beneficial effects of the present invention are: 1. The wind disturbance intensity assessment method of this invention is based on measured wind field data for each photovoltaic tracking bracket, and achieves accurate quantification through a mechanism combining vector operation and spatial projection. First, wind speed and wind direction angle data are independently collected for each photovoltaic tracking bracket in the cluster within a preset time window, preserving the true wind field information of each individual location, thus overcoming the limitation of relying solely on single global data for overall assessment. Second, the angular wind direction angle is converted into a two-dimensional wind direction vector, and all wind direction vectors are weighted and superimposed using the wind speed at each location as the weight. Based on the measured data across the entire field, the real-time dominant wind direction vector is solved. This dominant wind direction is dynamically updated with the sampling data of each time window, naturally adapting to wind direction deflection scenarios and solving the defect that a fixed assessment benchmark cannot follow dynamic changes in the wind field. Subsequently, the dominant wind direction vector is normalized... The process is simplified to obtain a dominant wind direction unit vector containing only wind direction information, which serves as a unified wind reference direction for the entire field. Finally, the wind disturbance intensity scalar of the corresponding single photovoltaic tracking bracket is obtained by performing a two-dimensional dot product operation between the center plane coordinates of the photovoltaic tracking bracket and the dominant wind direction unit vector. Its physical essence is the projection length of the bracket's center coordinates in the dominant wind direction, which can accurately characterize the relative wind exposure of a single bracket in the real-time dominant wind direction across the entire field. This achieves differentiated and dynamic quantification of wind disturbance intensity for each bracket within the cluster, providing reliable data support for subsequent graded differentiated wind shelter control and fundamentally improving the accuracy of wind shelter control.

[0018] 2. The wind-avoidance attitude adjustment method for a single photovoltaic tracking bracket of the present invention uses the precise quantification of the wind disturbance intensity of a single bracket as the core judgment criterion, and has the advantages of precise graded control, strong wind field adaptability, and timely dynamic response. First, it uses the quantified wind disturbance intensity data of each bracket to classify the levels, replacing the unified control logic of the traditional overall evaluation mode. This ensures that the triggering and execution of wind-avoidance actions have clear quantitative support, avoiding unnecessary attitude adjustments for brackets with weak wind disturbance, and fundamentally improving the targeting and accuracy of wind-avoidance control for a single device. Second, it sets five levels: extreme forced wind avoidance, high wind disturbance, medium wind disturbance, low wind disturbance, and no wind disturbance, forming a gradient attitude control system. Differentiated control strategies can be matched according to the degree of wind disturbance. Under strong wind conditions, priority is given to ensuring the structural safety of the equipment, while under weak wind conditions... Prioritizing power generation operation achieves a refined balance between wind protection safety and power generation efficiency. Furthermore, the attitude adjustment process combines the local wind direction angle of a single support with the prevailing wind direction angle of the entire field, taking into account both local wind field characteristics and the overall wind field pattern of the array. This ensures both wind protection and load reduction in strong wind environments and maintains the overall attitude coordination of the array. Finally, the method is executed cyclically with a fixed time window, which can update the wind disturbance intensity and operating level in real time according to the dynamic changes in the wind field, achieving all-weather dynamic adaptive control and effectively ensuring the stability and long-term economic efficiency of the support operation under different wind conditions.

[0019] 3. In the photovoltaic tracking bracket group wind-avoidance attitude adjustment method of the present invention, firstly, three layers of wind-receiving areas are dynamically divided based on real-time wind disturbance intensity ranking. The partition boundaries can be adaptively adjusted according to changes in the dominant wind direction, breaking through the wind direction adaptation limitations of fixed row and column partitions. The partition results are highly matched with the actual wind-receiving level of the array. Next, five-level graded unified attitude adjustment is performed on a regional basis, which significantly reduces the control computing power overhead of large-scale arrays and improves the overall control efficiency of the cluster. Secondly, a two-layer architecture of "regional unified attitude adjustment + unit-by-unit verification and fallback correction" is adopted to correct local attitude deviations while ensuring batch control efficiency, taking into account the control accuracy of the entire cluster and individual devices. Finally, closed-loop operation with a fixed time window period can dynamically respond to changes in the wind field and effectively improve the control accuracy of the cluster photovoltaic tracking brackets. Attached Figure Description

[0020] Figure 1 A flowchart illustrating the method for adjusting the wind-avoidance posture of a photovoltaic tracking support group.

[0021] Figure 2 This is a schematic diagram illustrating the principle of projecting a photovoltaic tracking bracket group into zones along the prevailing wind direction.

[0022] Figure 3 This is a schematic diagram illustrating the correspondence between the prevailing wind direction and the projection axis in a Cartesian coordinate system.

[0023] Figure 4 A schematic diagram of the three-layer wind-receiving area division of an array-type photovoltaic tracking support group. Detailed Implementation

[0024] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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 are within the scope of protection of the present invention.

[0025] like Figure 1 As shown, the complete technical solution of the present invention consists of three parts: a method for assessing the wind disturbance intensity of photovoltaic tracking brackets, a method for adjusting the wind-avoidance posture of a single photovoltaic tracking bracket, and a method for adjusting the wind-avoidance posture of a group of photovoltaic tracking brackets. The three parts are connected in sequence and work together. It is mainly applied to the scenarios of wind field data monitoring, quantitative assessment of wind disturbance intensity, and adaptive wind-avoidance posture adjustment of photovoltaic tracking brackets in various photovoltaic power plants.

[0026] The entire solution is based on a quantitative assessment of wind disturbance intensity. It categorizes attitude adjustment modes into two types according to the spatial distribution of photovoltaic (PV) tracking brackets: for scattered PV tracking brackets without fixed rows and columns, an independent attitude adjustment mode is used for each bracket; for large PV tracking bracket groups with regular rows and columns and an array-like distribution, a cluster attitude adjustment mode combining zoned unified attitude adjustment with individual bracket fallback correction is used. All methods operate on a fixed preset time window, executing periodically. Through core technologies such as time-series data averaging, wind speed weighted vector calculation, circular angle interpolation, and zoned hierarchical control, the solution effectively reduces the risk of wind load damage to PV tracking brackets and PV panels, improving equipment operational stability and service life.

[0027] I. Basic Conditions Setup

[0028] 1. Coordinate system

[0029] All wind direction angles, vector decompositions, and coordinate operations in this invention are based on the Cartesian coordinate system of the horizontal plane where the photovoltaic tracking bracket array is located: the Earth coordinate system.

[0030] The values ​​for wind direction angle, prevailing wind direction angle, and regional representative wind direction are uniformly set at 0~360°, representing the angle between the direction of airflow and the positive direction of the X-axis of the Earth coordinate system.

[0031] 2. Data Collection

[0032] Each photovoltaic (PV) tracking bracket is independently equipped with a wind speed and direction sensor, which is fixedly installed in the middle of the main beam of the PV tracking bracket, on the windward side of the PV panel in an unobstructed area. All PV tracking brackets use completely consistent measurement point positions to avoid interference from equipment obstruction, near-ground turbulence, and local flow around the sampling data, ensuring a unified data acquisition benchmark across the entire area.

[0033] 3. Operating Mechanism

[0034] The entire process of data acquisition, data preprocessing, wind disturbance intensity calculation, gear determination, attitude adjustment, and effect verification is completed within a single preset time window. After a single cycle is completed, it automatically enters the next preset time window, repeating the cycle to achieve all-weather unattended adaptive wind avoidance.

[0035] II. Methods for Assessing the Wind Disturbance Intensity of Photovoltaic Tracking Mounts

[0036] This method forms the underlying foundation of the entire scheme. All attitude adjustment methods rely on the wind speed, wind direction, and wind disturbance intensity data output by this method. It consists of two main parts: time-series data preprocessing and core calculation of wind disturbance intensity. The specific details are as follows: 1. Time series data preprocessing Natural winds are generally characterized by instantaneous gusts and pulsed wind speed fluctuations. Relying solely on single-sample data is insufficient to reflect the stable wind field conditions of a photovoltaic (PV) tracking bracket. Therefore, the system continuously collects multiple sets of time-series wind speed and wind direction angle data within a single preset time window using sensors. The system then performs an arithmetic average calculation on all sampled data for a single PV tracking bracket to obtain the window-average wind speed and window-average wind direction angle. This processing method effectively filters out data interference caused by sensor random errors and instantaneous gusts. The calculated window-average wind speed is defined as wind speed v. k (Wind speed v at the k-th photovoltaic tracking bracket), the window average wind direction angle is defined as the wind direction angle θ. k (The wind direction angle θ at the k-th photovoltaic tracking bracket) is used as the benchmark data for subsequent calculations. This can accurately match the steady-state wind field actually borne by the photovoltaic tracking bracket, further improving the accuracy of the wind disturbance intensity calculation results.

[0037] 2. Calculate wind disturbance intensity

[0038] Since the wind direction angle is an angular quantity, it cannot be directly used for vector superposition calculations. Therefore, it is necessary to calculate the wind direction angle θ for each photovoltaic tracking bracket. k Converted into a two-dimensional wind direction vector .

[0039] Considering the objective law that "strong winds dominate the overall wind direction" in natural wind fields, locations with higher wind speeds have a greater impact on the overall wind direction. This method uses the wind speed v of a single photovoltaic tracking bracket as an example. k As the weight, according to the formula By weighting and superimposing all wind direction vectors, the dominant wind direction vector V of the target photovoltaic tracking support group is obtained. This vector can truly reflect the comprehensive wind direction of the entire support group.

[0040] After obtaining the prevailing wind direction vector V, its magnitude |V| is first calculated, and then normalization is performed according to the formula e=V / |V| to obtain the prevailing wind direction unit vector e. The normalized prevailing wind direction unit vector e retains only the wind direction information and eliminates the influence of wind speed amplitude. Subsequently, only the wind direction is used in the wind disturbance intensity assessment, thereby realizing the quantitative analysis of the wind direction.

[0041] Finally, retrieve the center plane coordinates P of the k-th photovoltaic tracking bracket. k =(x k ,y k ), for coordinate P k Performing a two-dimensional vector dot product operation with the prevailing wind direction unit vector ee yields the wind disturbance intensity s, which characterizes the photovoltaic tracking bracket. k =P k e. Under the same wind field conditions, the result of the dot product operation is a pure scalar, and s kThe magnitude of the value represents the degree of wind exposure of the photovoltaic tracking bracket relative to the prevailing wind direction. The larger the value, the stronger the wind disturbance and the higher the safety risk at the corresponding location.

[0042] like Figure 2 As shown, the lower left corner represents the horizontal Cartesian coordinate system O-XY where the photovoltaic tracking support array is located. The main body is a photovoltaic tracking support array arranged in neat rows and columns. A projection axis extending along the prevailing wind direction is located on the left, and an arrow on the right indicates the direction of the prevailing wind throughout the field, perpendicular to the X-axis. Figure 3 As shown, a slanted projection axis is set on the left side, pointing in the same direction as the prevailing wind direction. The arrow on the right indicates the prevailing wind direction, which is at approximately a 45° angle to the X-axis of the coordinate system.

[0043] Figure 2 and Figure 3 The geometric calculation principle of wind disturbance intensity is presented intuitively: the center plane coordinates of each photovoltaic tracking bracket are projected onto the projection axis along the prevailing wind direction, and the resulting projection length is the wind disturbance intensity s obtained through two-dimensional vector dot product operation. k The larger the projected length, the closer the corresponding support is to the windward front edge of the array, the stronger the relative wind exposure, and the higher the operational safety risk.

[0044] Under the same wind field conditions, the result of the dot product operation is a pure scalar, and s k The magnitude of the value represents the degree of wind exposure of the photovoltaic tracking bracket relative to the prevailing wind direction. The larger the value, the stronger the wind disturbance and the higher the safety risk at the corresponding location.

[0045] III. Method for Adjusting the Wind-Proof Orientation of a Single Photovoltaic Tracking Mount

[0046] This method uses a single photovoltaic tracking bracket as an independent control unit, and is applicable to scattered brackets and local locations with arbitrary distribution. It relies on wind disturbance intensity assessment results to complete the gear position determination and attitude adjustment. The specific content is as follows: 1. Overall Process First, the calculation results of the photovoltaic tracking bracket wind disturbance intensity assessment method are called to obtain the wind disturbance intensity s corresponding to a single photovoltaic tracking bracket. k Then s k The system compares the data with preset multi-level thresholds to determine five operating levels; then, it considers the wind direction angle θ of the photovoltaic tracking bracket. k With the prevailing wind angle θ e The system adjusts the orientation of the photovoltaic panel according to preset rules; after each orientation adjustment is completed, the system waits for the next preset time window and periodically repeats the entire adjustment process.

[0047] 2. Conversion of the prevailing wind direction angle throughout the venue

[0048] Before attitude adjustment, the prevailing wind direction angle θ needs to be calculated from the prevailing wind direction unit vector e. e Extract the components e of the prevailing wind direction unit vector e along the X and Y axes of the Earth coordinate system. y e x The arctangent function arctan2(e) in the four quadrants is used. y ,e x The angle conversion is completed. Because the conventional arctangent function can only output angles from -90° to 90°, it cannot distinguish the four quadrants of a Cartesian coordinate system and therefore cannot match the 0-360° full-circle wind direction definition of this method; while the four-quadrant arctangent function uses the Y-axis component e y For the first input, the X-axis component e x As the second input, it can accurately identify the four quadrants and output the effective wind direction angle within the range of 0~360°, thus avoiding errors in wind direction calculation from the root.

[0049] 3. Single-unit attitude adjustment strategy

[0050] This single-unit attitude adjustment strategy follows the core principles of prioritizing strong winds to ensure equipment safety and prioritizing weak winds to achieve solar tracking power generation. The attitude of the photovoltaic panels is adjusted differently according to different operating levels. The specific execution methods and design logic for each level are as follows: When in an extreme forced wind avoidance mode, the photovoltaic tracking bracket is directly rotated to the preset limit safety attitude angle. At this time, the wind disturbance intensity has reached the dangerous level, and the safety of the equipment structure is the primary goal. The power generation function is temporarily stopped.

[0051] When the wind disturbance level is high, adjust the photovoltaic tracking bracket so that the angle θ between the photovoltaic panel surface and the local wind direction is θ. k The directions are parallel, which can minimize the windward area and effectively resist the wind load brought by local strong winds.

[0052] When the wind disturbance level is moderate, adjust the photovoltaic tracking bracket so that the photovoltaic panel surface is aligned with θ. k and θ e The center angle is kept consistent to take into account the combined effects of local and overall wind fields, while ensuring the overall coordination of the array attitude.

[0053] When the wind disturbance level is low, adjust the photovoltaic tracking bracket so that the angle θ between the photovoltaic panel surface and the prevailing wind direction is θ. e The directions are parallel, and while providing mild wind protection, priority is given to maintaining the uniformity of the entire photovoltaic array's orientation.

[0054] When in the windless mode, the photovoltaic tracking bracket returns to the preset solar tracking position corresponding to the current moment and performs the solar tracking function normally.

[0055] 4. Obtain θ using the inscribed angle interpolation algorithm.k and θ e The middle angle

[0056] The required θ for medium wind disturbance level k and θ e The intermediate angle is calculated using a circular angle interpolation algorithm.

[0057] Wind direction is a circular physical quantity ranging from 0° to 360°. Ordinary arithmetic mean cannot be adapted to wind direction calculation scenarios that cross the 0° / 360° boundary. The circular angle interpolation algorithm can effectively solve this type of calculation defect. The specific execution process is as follows: First, calculate θ k and θ e The absolute angle difference; if the difference is less than or equal to 180°, the arithmetic mean of the two is taken as the initial intermediate angle, which is suitable for normal wind conditions; if the difference is greater than 180°, the shortest path of the circle rule is followed, and the angle is calculated using the formula (θ). k +θ e The initial intermediate angle is calculated as (+360°) / 2 to avoid calculation deviations in cross-boundary wind direction. Finally, the initial intermediate angle is normalized. If the calculation result is greater than 360°, 360° is subtracted to constrain the angle within the standard range of 0~360°, ensuring that the final intermediate angle conforms to the actual wind direction pattern.

[0058] IV. Methods for Adjusting the Wind-Sheltering Attitude of Photovoltaic Tracking Support Groups

[0059] This method is designed for array-type photovoltaic tracking support groups with regular rows and columns or clusters. It adopts a two-layer control architecture that combines zoned unified adjustment with individual unit fallback verification. This architecture can quickly respond to instantaneous ultra-high wind conditions, achieve overall wind protection and risk avoidance for the cluster, and correct attitude deviations caused by local wind disturbances within the array. The specific operation process, calculation rules and control logic are as follows: 1. Overall process of cluster attitude adjustment First, the wind disturbance intensity assessment method for photovoltaic tracking brackets is called to calculate the wind disturbance intensity s corresponding to each device in the array. k Based on the wind disturbance intensity values ​​of all equipment in the entire site, the entire support group was divided into three independent wind-affected zones according to the differences in wind intensity: the leading wind-affected layer, the wake transition layer, and the wake attenuation layer. Then, the regional comprehensive wind disturbance intensity and the representative wind direction of each zone were calculated, and the regional comprehensive wind disturbance intensity was compared with the system's preset multi-level thresholds to uniformly determine the operating level of each zone. Finally, the regional representative wind direction and the prevailing wind direction angle θ of the entire site were considered. e All photovoltaic tracking brackets within the area underwent uniform wind-avoidance attitude adjustment. After the overall attitude adjustment was completed, the attitude of each photovoltaic panel was checked individually. If any panel was not positioned within the local wind direction angle θ, the adjustment was performed. k With the prevailing wind angle θe For devices within the designated area, the system uses a single photovoltaic tracking bracket wind-avoidance attitude adjustment method to complete a fallback correction. After a single cluster adjustment process is completed, the system enters the next preset time window and periodically repeats all operations.

[0060] 2. Regional overall wind disturbance intensity and regional representative wind direction

[0061] There are two methods for calculating the overall wind disturbance intensity of a region, adapted to different application scenarios: The first method is to select the wind disturbance intensity s of all regions within the region. k The first method uses the maximum value as the criterion. Since array wind protection requires the most dangerous local point as the overall control standard, this method can accurately match instantaneous super-strong wind conditions and ensure the operational safety of the entire area; the second method is to select the maximum value of all wind disturbance intensities s in the area. k The arithmetic mean is mainly used for long-term operating condition statistics and data analysis of the entire wind field, and does not participate in real-time attitude adjustment.

[0062] The regional wind direction calculation follows the same logic as the dominant wind direction across the entire field, ensuring consistency across the entire algorithm system. First, the wind direction angle of each photovoltaic tracking bracket within the region is converted into a corresponding wind direction vector. Then, the wind speed v of each device within the region is used as the vector. k As a weight, all wind direction vectors are weighted and superimposed to obtain the regional wind direction vector; then the magnitude of the regional wind direction vector is solved and normalized to obtain the regional dominant wind direction unit vector; finally, the regional representative wind direction is obtained by converting the four-quadrant arctangent function. This calculation method can truly reflect the comprehensive incoming wind direction of a single zone.

[0063] 3. Cluster Unified Attitude Adjustment Strategy

[0064] This method maintains consistency with the gear division and attitude control logic of the single-unit adjustment scheme, treating a single wind-affected area as a whole for unified management and synchronous adjustment of all photovoltaic panels within the area. In the extreme forced wind avoidance gear, all photovoltaic tracking brackets within the area are rotated to a preset limit safety attitude angle; in the high wind disturbance gear, the adjustment equipment aligns the photovoltaic panel surface with the direction of the representative wind direction of the area; in the medium wind disturbance gear, the photovoltaic panel surface is aligned with the angle θ between the representative wind direction of the area and the prevailing wind direction of the entire field. e The resulting intermediate angle; when in a low wind disturbance setting, the angle θ between the photovoltaic panel surface and the prevailing wind direction. e The direction remains consistent; when in the wind-free mode, all photovoltaic tracking brackets in the area return to the preset solar tracking position corresponding to the current moment. At this time, the risk of wind disturbance has been completely eliminated, the equipment returns to normal photovoltaic power generation conditions, and the power generation efficiency of the power station is guaranteed first.

[0065] 4. Array partitioning and timing rules

[0066] This method divides regions based on the numerical ranking of wind disturbance intensity. The principle of this division is as follows: Figure 3 As shown: The projection axis is set parallel to the prevailing wind direction. The wind disturbance intensity values ​​of all photovoltaic tracking brackets correspond to the projection length of the bracket's center coordinates along the prevailing wind direction on the projection axis. According to the projection values ​​from large to small, the entire row of brackets is divided into three continuous wind-receiving areas.

[0067] Figure 3 The arrow on the right indicates the prevailing wind direction. The neatly arranged photovoltaic tracking bracket array, arranged in rows and columns, is divided into three continuous wind-receiving zones along the prevailing wind direction from the windward side to the leeward side, using dashed boxes: Zone A at the very front of the array is the leading wind-receiving layer, corresponding to the area with the highest wind disturbance intensity; Zone B in the middle of the array is the wake transition layer, corresponding to the area with moderate wind disturbance intensity; and Zone C at the rear of the array is the wake attenuation layer, affected by the wake effect of the airflow from the front brackets, corresponding to the area with the lowest wind disturbance intensity. This diagram visually presents the three-layer zoning of the array-type photovoltaic tracking bracket group, corresponding one-to-one with the zoning rules based on wind disturbance intensity numerical sorting, providing a clear spatial hierarchy basis for subsequent unified attitude adjustment of the zoning.

[0068] When performing wind-avoidance attitude adjustments, the timing rule is followed: the leading windward layer acts first, followed by the wake transition layer and the wake attenuation layer with delayed actions. Because the windward side will bear the strong wind load first, the risk avoidance action is completed first, which can effectively reduce the transmission of wind load inside the array.

[0069] When the wind disturbance intensity decreases and the wind shelter status is lifted, the attitude is restored step by step in the order of wake attenuation layer, wake transition layer, and leading wind-receiving layer. The wind field on the leeward side is the first to return to stability. Using the reverse timing sequence can avoid secondary vibration of equipment caused by concentrated attitude changes.

[0070] V. Specific Application Examples

[0071] This embodiment sets a small photovoltaic tracking bracket array arranged in regular rows and columns as the application scenario. Combined with specific measured wind field parameters, it fully demonstrates the entire process of evaluating the wind disturbance intensity of photovoltaic tracking brackets, adjusting the wind shelter attitude of a single photovoltaic tracking bracket, and adjusting the wind shelter attitude of a group of photovoltaic tracking brackets in different zones. All calculation rules, gear divisions, and attitude control logic are consistent with the aforementioned method.

[0072] (I) Basic parameter settings for the embodiment

[0073] 1. Coordinate system and array layout

[0074] A horizontal rectangular coordinate system OXY is used, with the X-axis pointing east and the Y-axis pointing north. The array consists of 6 photovoltaic tracking brackets arranged in 2 columns and 3 rows. The center plane coordinates of each bracket are as follows: Support 1: P1=(10,30)m; Support 2: P2=(20,30)m; Support 3: P3=(10,20)m; Support 4: P4=(20,20)m; Support 5: P5=(10,10)m; Support 6: P6=(20,10)m.

[0075] 2. Measured wind field data

[0076] Within a single preset time window, the average wind speed and average wind direction angle of each support after time-series averaging are as follows: Support 1: v1=8m / s, θ1=90°; Support 2: v2=7.5m / s, θ2=85°; Support 3: v3=7m / s, θ3=92°; Support 4: v4=6.5m / s, θ4=87°; Support 5: v5=6m / s, θ5=90°; Support 6: v6=5.5m / s, θ6=87°.

[0077] 3. System preset parameters

[0078] Wind disturbance intensity threshold: s≥28 is the extreme forced wind avoidance level, 22≤s<28 is the high wind disturbance level, 18≤s<22 is the medium wind disturbance level, 10≤s<16 is the low wind disturbance level, and s<10 is the no wind disturbance level; the limit safety attitude angle is set to 0° (the photovoltaic panel is placed horizontally).

[0079] (II) Calculation process of wind disturbance intensity of photovoltaic tracking bracket

[0080] Following the aforementioned method for assessing wind disturbance intensity, the calculation is performed step by step: 1. Wind direction vector conversion Convert the wind direction angle of each support into a two-dimensional wind direction vector. For example, the wind direction vector of support 1 is (cos90°,sin90°)=(0,1), and the other supports are converted in the same way.

[0081] 2. Solving for the dominant wind direction vector using weighted superposition of wind speeds.

[0082] Based on the calculation formula Substituting the values ​​into the numerical calculation, we obtain the prevailing wind direction vector V=(0.924,40.456).

[0083] 3. Normalize the solution for the unit vector of the prevailing wind direction.

[0084] The vector magnitude |V|=40.466, and the normalized prevailing wind direction unit vector e=(0.0228,0.9997).

[0085] 4. Calculate the prevailing wind direction angle for the entire field.

[0086] θ is obtained by calculating the arctangent function in the four quadrants. e =88.7°.

[0087] 5. Solving for the intensity of a single typhoon disturbance using dot product operations.

[0088] According to s k =P k • e. Calculate the wind disturbance intensity of each support, and the results are as follows: Stent 1: s1=30.22; Stent 2: s2=30.45; Stent 3: s3=20.22; Stent 4: s4=20.45; Stent 5: s5=10.23; Stent 6: s6=10.45.

[0089] The calculation results conform to physical laws: the larger the Y-coordinate and the further north the support is, the higher the wind disturbance intensity, corresponding to the front edge position of the array on the windward side.

[0090] (III) Example of wind-avoidance attitude adjustment for a single photovoltaic tracking bracket

[0091] Taking bracket 3 as an example, perform single-unit windproof posture adjustment: 1. Gear determination: s3=20.22, which is in the range of 16≤s<22, corresponding to a medium wind disturbance gear.

[0092] 2. Calculation of intermediate angle: Local wind direction angle θ3 = 92°, prevailing wind direction angle θ e =88.7°, and the absolute difference between the two is 3.3° < 180°. Taking the arithmetic mean directly, the median angle is (92° + 88.7°) / 2 = 90.35°.

[0093] 3. Attitude adjustment execution: drive bracket 3 to rotate so that the photovoltaic panel surface is parallel to the 90.35° direction, taking into account the comprehensive impact of local wind field and overall wind field.

[0094] (iv) Example of wind-sheltered attitude adjustment for photovoltaic tracking bracket groups

[0095] 1. Array partitioning and region parameter calculation

[0096] The array is divided into three wind-affected zones, sorted by wind disturbance intensity from largest to smallest: Frontal windward layer (Area A): Support 1, Support 2, the maximum value of the comprehensive wind disturbance intensity in the area is 30.45, corresponding to the extreme forced wind shelter level; Wake transition layer (area B): Support 3, support 4, the maximum value of the comprehensive wind disturbance intensity in the area is 20.45, which corresponds to the medium wind disturbance level; Wake attenuation layer (C zone): Support 5, support 6, the regional comprehensive wind disturbance intensity is taken as the maximum value of 10.45, corresponding to the low wind disturbance level.

[0097] The representative wind direction for each region is calculated using a weighted vector algorithm that aligns with the prevailing wind direction across the entire field. The representative wind direction for area A is approximately 87.6°. The wind direction in Zone B is approximately 89.6°. The wind direction in Zone C is approximately 88.5°.

[0098] 2. Regional uniform attitude adjustment

[0099] According to the cluster adjustment strategy, unified attitude adjustment is performed in different regions, following the timing rule of priority action in the leading wind-receiving layer and subsequent delay in other regions: (1) Zone A (Extreme Forced Wind Shelter): The two supports in the zone are rotated to the preset limit safety attitude angle of 0° to prioritize the safety of the equipment structure on the windward side; (2) Zone B (medium wind disturbance level): The angle between the representative wind direction of the calculation area and the prevailing wind direction of the whole field is about 89.1°. The photovoltaic panel surface of the bracket in the area is uniformly adjusted to this angle. (3) Zone C (low wind disturbance level): The photovoltaic panel surface of the bracket in the zone is uniformly adjusted to be parallel to the direction of the prevailing wind direction of 88.7°.

[0100] 3. Unit-by-unit verification and single-unit fallback correction

[0101] After the regional unified commissioning is completed, the position of each photovoltaic panel is checked: The angles of the plates of supports 1, 2, 3, 5, and 6 are all within the corresponding range of the local wind direction angle and the prevailing wind direction angle of the entire field, and the adjustment is qualified; The local wind direction angle θ4 of bracket 4 is 87°, corresponding to a target range of 87°~88.7°. The regional unified adjustment target angle of 89.1° exceeds this range, triggering the fallback correction logic. The single photovoltaic tracking bracket wind-avoidance attitude adjustment method is called, and the dedicated intermediate angle of bracket 4 is calculated to be (87°+88.7°) / 2=87.85°. Bracket 4 is individually driven to adjust to this angle, completing the attitude correction.

[0102] 4. Timing of lifting the typhoon shelter order

[0103] When the wind disturbance intensity drops below the threshold, the support is restored to the preset solar tracking position in reverse order of the wake attenuation layer, wake transition layer, and leading wind-receiving layer to avoid secondary vibration of the equipment caused by concentrated attitude changes.

[0104] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for assessing the wind disturbance intensity of a photovoltaic tracking bracket, characterized in that, The following evaluation steps are included: Within a preset time window, the wind speed v of each photovoltaic tracking bracket in the target photovoltaic tracking bracket group is collected simultaneously. k and wind direction angle θ k , where k is the photovoltaic tracking bracket number, and the total number of photovoltaic tracking brackets is K; θ k Convert to the corresponding wind direction vector ; With each v k As weight, for all By performing weighted summation, the dominant wind direction vector of the target photovoltaic tracking bracket group is obtained. ; Calculate the modulus |V| of V, and normalize V to obtain the dominant wind direction unit vector e=V / |V| of the target photovoltaic tracking support group within the current time window; Retrieve the center plane coordinates P of the k-th photovoltaic tracking bracket k =(x k ,y k ), for P k Performing a two-dimensional vector dot product operation with e yields the wind disturbance intensity s, which characterizes the photovoltaic tracking bracket. k =P k ·e.

2. The method for evaluating the wind disturbance intensity of a photovoltaic tracking bracket according to claim 1, characterized in that, When collecting wind speed and wind direction angle data for each photovoltaic tracking bracket, multiple sets of time-series sampling data within a preset time window are selected. The average wind speed and average wind direction angle for each photovoltaic tracking bracket within the window are calculated and used as the wind speed v. k and wind direction angle θ k It participates in the calculation of V.

3. A method for adjusting the wind-avoidance posture of a single photovoltaic tracking bracket, characterized in that, The following adjustment steps are included: The wind disturbance intensity of the current photovoltaic tracking bracket is calculated using the wind disturbance intensity assessment method for photovoltaic tracking brackets as described in claim 1 or 2. The wind disturbance intensity was compared with multi-level thresholds to divide it into five levels: extreme forced wind avoidance, high wind disturbance, medium wind disturbance, low wind disturbance, and no wind disturbance. Based on the current position and the wind direction angle θ of the current photovoltaic tracking bracket. k The prevailing wind direction angle θ corresponding to the prevailing wind direction vector V across the entire field e The wind-avoidance posture of the photovoltaic tracking bracket is adjusted according to the preset single-unit posture adjustment strategy; After completing this wind-sheltered attitude adjustment, the next time window will begin, and the wind-sheltered attitude adjustment for each unit will be performed periodically.

4. The method for adjusting the wind-avoidance posture of a single photovoltaic tracking bracket according to claim 3, characterized in that, Using the four-quadrant arctan2(e y ,e x The prevailing wind direction unit vector e is converted to obtain the corresponding overall prevailing wind direction angle θ. e , where e y e x These are the components of e along the X and Y axes of the Earth coordinate system, respectively.

5. The method for adjusting the wind-avoidance posture of a single photovoltaic tracking bracket according to claim 3, characterized in that, The single-unit attitude adjustment strategy is specifically expressed as follows: When in the extreme forced wind avoidance mode, the current photovoltaic tracking bracket is directly rotated to the preset limit safety attitude angle; when in the high wind disturbance mode, the photovoltaic panel surface of the current photovoltaic tracking bracket is aligned with θ. k The directions are parallel; when in a medium wind disturbance setting, the photovoltaic panel surface of the current photovoltaic tracking bracket is parallel to θ. k and θ e The direction of the middle angle; when in the low wind disturbance setting, so that the photovoltaic panel surface of the current photovoltaic tracking bracket is aligned with θ. e The directions are parallel; when in the windless mode, the photovoltaic tracking bracket returns to the preset solar tracking position corresponding to the current moment.

6. The method for adjusting the wind-avoidance posture of a single photovoltaic tracking bracket according to claim 5, characterized in that, θ k and θ e The steps for calculating the intermediate angle are as follows: Calculate θ k and θ e The absolute angle difference; if the absolute angle difference is less than or equal to 180°, then θ k and θ e The arithmetic mean of the angles is used as the initial intermediate angle; if the absolute angle difference is greater than 180°, according to the shortest path rule of the circle, (θ) is used as the initial intermediate angle. k +θ e The result of the calculation (+360°) / 2 is used as the initial intermediate angle; the initial intermediate angle is normalized: if the initial intermediate angle is greater than 360°, then 360° is subtracted from it, and the final intermediate angle with a value range of 0~360° is obtained.

7. A method for adjusting the wind-sheltered attitude of a photovoltaic tracking support group, characterized in that, The following adjustment steps are included: The wind disturbance intensity of each photovoltaic tracking bracket in the group is calculated using the photovoltaic tracking bracket wind disturbance intensity assessment method described in claim 1 or 2. Based on the wind disturbance intensity of all photovoltaic tracking brackets, the photovoltaic tracking bracket group is divided into three wind-receiving areas: the leading wind-receiving layer, the wake transition layer, and the wake attenuation layer. The regional comprehensive wind disturbance intensity and regional representative wind direction of each wind-affected area are calculated separately. The regional comprehensive wind disturbance intensity is compared with multi-level thresholds, and each area is uniformly divided into five levels: extreme forced wind avoidance, high wind disturbance, medium wind disturbance, low wind disturbance and no wind disturbance. Combining the regional representative wind direction with the prevailing wind angle θ for the entire field e The wind-sheltered posture of each area is uniformly adjusted according to the preset group posture adjustment strategy; After completing the unified adjustment of the windward posture in the wind-receiving area, the position of all photovoltaic panels in the group was checked one by one. For photovoltaic panels whose positions were not aligned with the wind direction angle θ of the corresponding photovoltaic tracking bracket, the positions were checked individually. k With the prevailing wind angle θ e The photovoltaic tracking brackets between them are adjusted to wind-sheltered attitude according to any one of claims 3-6; After completing this group's wind-sheltered posture adjustment, the next time window will begin, and the group's wind-sheltered posture adjustment will be performed periodically.

8. A method for adjusting the wind-sheltered attitude of a photovoltaic tracking support group according to claim 7, characterized in that, The regional comprehensive wind disturbance intensity is the maximum value of the wind disturbance intensity of all photovoltaic tracking brackets in the same wind-receiving area, or the arithmetic mean of the wind disturbance intensity of all photovoltaic tracking brackets in the same wind-receiving area. The regional representative wind direction is obtained through the following steps: First, the wind direction angle of each photovoltaic tracking bracket in the same wind-receiving area is converted into the corresponding wind direction vector. Then, all wind direction vectors are weighted and superimposed using the wind speed of each photovoltaic tracking bracket in the wind-receiving area to obtain the regional wind direction vector. The magnitude of the regional wind direction vector is calculated and normalized to obtain the regional dominant wind direction unit vector. Finally, the regional representative wind direction is obtained by converting the four-quadrant arctangent function.

9. A method for adjusting the wind-avoidance attitude of a photovoltaic tracking support group according to claim 7, characterized in that, The group attitude adjustment strategy is specifically expressed as follows: When in the extreme forced wind avoidance mode, all photovoltaic tracking brackets in the current wind-affected area are directly rotated to the preset limit safety attitude angle; when in the high wind disturbance mode, the photovoltaic panels of all photovoltaic tracking brackets in the current wind-affected area are aligned with the direction of the regional representative wind direction of the current wind-affected area; when in the medium wind disturbance mode, the photovoltaic panels of all photovoltaic tracking brackets in the current wind-affected area are aligned with the regional representative wind direction and θ of the current wind-affected area. e The direction of the midpoint angle; when in the low wind disturbance setting, aligning the photovoltaic panels of all photovoltaic tracking brackets within the current wind-affected area with θ. e The directions are parallel; when in the windless mode, all photovoltaic tracking brackets in the current wind-affected area are restored to the preset solar tracking position corresponding to the current moment.

10. A photovoltaic tracking support group wind-avoidance attitude adjustment system, characterized in that, It includes a data acquisition unit, a wind disturbance intensity assessment unit, and an attitude adjustment unit; The data acquisition unit is used to collect wind speed and wind direction angle data for each photovoltaic tracking bracket; A wind disturbance intensity assessment unit is used to execute the wind disturbance intensity assessment method for photovoltaic tracking brackets as described in claim 1 or 2, and to obtain the corresponding wind disturbance intensity. The attitude adjustment unit includes a single-unit adjustment submodule and a cluster partition adjustment submodule; the single-unit adjustment submodule executes the wind-avoidance attitude adjustment method for a single photovoltaic tracking bracket as described in any one of claims 3-6, and the cluster partition adjustment submodule executes the wind-avoidance attitude adjustment method for a group of photovoltaic tracking brackets as described in any one of claims 7-9, so as to complete the corresponding wind-avoidance attitude adjustment.

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