Photovoltaic array control method and system based on dynamic spacing and synchronous control

Abstract

The invention relates to the technical field of photovoltaic array control, and particularly discloses a photovoltaic array control method and system based on dynamic spacing and synchronous control, and the method comprises the steps: segmenting an area where a photovoltaic array is located, obtaining a plurality of photovoltaic array grids, and obtaining the environment parameters of each photovoltaic array grid; determining an initial arrangement scheme of the photovoltaic array according to the environmental parameters of each photovoltaic array grid, and carrying out analogue simulation on the shielding condition of the photovoltaic array according to the initial arrangement scheme; and determining a shadow shielding area of the photovoltaic array according to an analogue simulation result, and determining a synchronous control scheme of the photovoltaic array according to the shadow shielding area of the photovoltaic array. According to the invention, the photovoltaic array can be optimally arranged based on the environmental parameters of each region, and meanwhile, the photovoltaic modules are synchronously controlled for shadow shielding, so that the power generation efficiency of the photovoltaic array is ensured.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic array control technology, and more specifically, to a photovoltaic array control method and system based on dynamic spacing and synchronization control. Background Art

[0002] As global energy demand continues to grow, photovoltaic power generation, as a green and renewable energy source, has become a crucial component of the global energy transition. As the core component of a photovoltaic system, the conversion efficiency of photovoltaic panels directly impacts the overall system's power generation efficiency. However, traditional photovoltaic panels face numerous challenges in practical application, particularly during periods of low sunlight, such as morning and evening, when panels' ability to receive less sunlight decreases, leading to reduced power generation efficiency.

[0003] Most photovoltaic arrays in existing technologies use a fixed spacing design, which makes it difficult to dynamically adjust according to real-time lighting conditions. As a result, the photovoltaic array may not perform at its best when lighting conditions change, and may even cause energy loss due to inappropriate spacing configuration. Summary of the Invention

[0004] The present invention provides a photovoltaic array control method and system based on dynamic spacing and synchronization control, which is used to solve the problem in the prior art that photovoltaic arrays are difficult to dynamically adjust according to real-time lighting conditions, including: The area where the photovoltaic array is located is divided into several photovoltaic array grids, and the environmental parameters of each photovoltaic array grid are obtained; Determine the initial layout of the photovoltaic array according to the environmental parameters of each photovoltaic array grid, and simulate the shading situation of the photovoltaic array according to the initial layout plan; The shadow blocking area of ​​the photovoltaic array is determined according to the simulation results, and the synchronization control scheme of the photovoltaic array is determined according to the shadow blocking area of ​​the photovoltaic array.

[0005] Furthermore, the obtaining of environmental parameters of each photovoltaic array grid includes: Obtain the regional illumination angle of the photovoltaic array grid, calculate the difference between the optimal illumination angle and the regional illumination angle, and draw an illumination angle change curve based on the change of the difference between the optimal illumination angle and the regional illumination angle within a preset time period; Obtain a preset sliding time window, and divide the illumination angle change curve according to the preset sliding time window to obtain a plurality of sub-illumination angle change curves; Calculate the average value of each sub-illumination angle change curve, and draw an average value change curve based on the average value of each sub-illumination angle change curve; Perform curve fitting on the average value change curve to obtain the average value prediction curve, and determine the optimal illumination angle duration according to the average value prediction curve; The average irradiance of the photovoltaic array grid within a preset time period is obtained, and the average irradiance and the duration of the optimal illumination angle are used as environmental parameters of the photovoltaic array grid.

[0006] Furthermore, determining the initial layout plan of the photovoltaic array according to the environmental parameters of each photovoltaic array grid includes: A sample data set is established based on the environmental parameters of each photovoltaic array grid, and k initial cluster centers of the sample data set are randomly selected; Calculate the Euclidean distance between the sample data in the sample data set and the initial cluster center, and divide each photovoltaic array grid into a corresponding cluster according to the Euclidean distance between the sample data in the sample data set and the initial cluster center; Calculate the average value of the sample data in each cluster, and recalculate the cluster center based on the average value of the sample data in each cluster; Repeat the above steps until the cluster center no longer changes or the number of iterations reaches the preset maximum number of iterations, and obtain the clustering result of the photovoltaic array grid; The initial layout plan of the photovoltaic array is determined based on the clustering results of the photovoltaic array grid.

[0007] Furthermore, determining the initial layout scheme of the photovoltaic array according to the clustering result of the photovoltaic array grid includes: Determine the cluster center of the photovoltaic array grid according to the clustering results of the photovoltaic array grid, and determine the environmental resource intensity of the corresponding cluster cluster according to the average irradiance of the cluster center of the photovoltaic array grid and the duration of the optimal illumination angle; The cluster whose environmental resource intensity is greater than a first preset threshold is set as the benchmark cluster, and the minimum distance between the photovoltaic modules in the remaining clusters and the benchmark cluster is calculated; The ideal clustering area is determined based on the minimum distance between the photovoltaic modules in the remaining clusters and the benchmark cluster, and the boundary of the load-bearing area of ​​the benchmark cluster is obtained. The photovoltaic modules in the remaining clusters are adjusted one by one to the ideal clustering area until they reach the boundary of the load-bearing area of ​​the corresponding benchmark cluster, thus obtaining the initial layout plan of the photovoltaic array.

[0008] Furthermore, the step of determining the environmental resource intensity of the corresponding cluster based on the average irradiance of the cluster center of the photovoltaic array grid and the duration of the optimal illumination angle includes: The environmental resource intensity is calculated according to the environmental resource intensity calculation formula, which is specifically: , in, is the intensity of environmental resources, is the average irradiance, is the optimal illumination angle duration, For preset standard duration, is the preset range coefficient, is the natural exponential function.

[0009] Furthermore, determining the shadow shielding area of ​​the photovoltaic array according to the simulation results includes: Obtain the geographical location data of the area where the current photovoltaic array is located, and determine the sun's trajectory in the current area based on the geographical location data; A solar trajectory model is established according to the sun's trajectory in the current area, and the initial layout plan of the photovoltaic array is input into the solar trajectory model to obtain the shadow blocking area of ​​each photovoltaic array.

[0010] Furthermore, the initial arrangement plan of the photovoltaic arrays is input into the solar trajectory model to obtain the shadow shielding area of ​​each photovoltaic array, including: Determine the vertex projection of each photovoltaic module according to the initial arrangement plan of the photovoltaic array in the solar trajectory model, and establish a vertex projection point set of the photovoltaic module according to the vertex projection; Calculate the Delaunay edges of the vertex projection point set of the photovoltaic module through Delaunay triangulation to form a Delaunay triangulation network; The minimum polygon including the vertex projection point set of the photovoltaic module is calculated by the convex hull algorithm to obtain the shadow shading area of ​​the photovoltaic array.

[0011] Furthermore, determining a synchronization control scheme of the photovoltaic array according to the shadow-blocking area of ​​the photovoltaic array includes: Obtain historical photovoltaic array layout plans, determine historical shading characteristics of each photovoltaic component and the corresponding photovoltaic array layout plan based on the historical photovoltaic array layout plan, and establish a training sample set based on the historical shading characteristics of each photovoltaic component and the corresponding photovoltaic array layout plan; Establish a solution generation model based on the training sample set and train the solution generation model to obtain a trained solution generation model; The shadow features of each photovoltaic module are determined according to the shadow shading area, and the shadow shading features of the photovoltaic module are input into the trained scheme generation model to obtain the corresponding synchronization control scheme of the photovoltaic array.

[0012] In order to achieve the above object, the present invention further provides a photovoltaic array control system based on dynamic spacing and synchronization control, comprising: A segmentation module is used to segment the area where the photovoltaic array is located to obtain a number of photovoltaic array grids and obtain the environmental parameters of each photovoltaic array grid; A simulation module is used to determine the initial layout plan of the photovoltaic array according to the environmental parameters of each photovoltaic array grid, and simulate the shading situation of the photovoltaic array according to the initial layout plan; The generation module is used to determine the shadow shielding area of ​​the photovoltaic array according to the simulation results, and determine the synchronization control scheme of the photovoltaic array according to the shadow shielding area of ​​the photovoltaic array.

[0013] The beneficial effects of the present invention are: By applying the above technical solution, the present invention selects grid areas with excellent environmental conditions based on the environmental parameters of each photovoltaic network array grid in the photovoltaic array and generates a layout plan. The shadow-blocking area of ​​the photovoltaic array is simulated through the layout plan, and the layout plan is adjusted according to the shadow-blocking area. The photovoltaic array can be optimized based on the environmental parameters of each area, and at the same time, each photovoltaic component is synchronously controlled for shadow blocking, thereby ensuring the power generation efficiency of the photovoltaic array. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0015] Figure 1 The figure shows an overall flow chart of a photovoltaic array control method based on dynamic spacing and synchronization control proposed in an embodiment of the present invention; Figure 2 The figure shows a schematic structural diagram of a photovoltaic array control system based on dynamic spacing and synchronization control proposed in an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0017] The embodiment of the present application provides a photovoltaic array control method based on dynamic spacing and synchronization control, such as Figure 1 Shown, including: S101, dividing the area where the photovoltaic array is located to obtain a number of photovoltaic array grids, and obtaining environmental parameters of each photovoltaic array grid; In some embodiments of the present application, the obtaining of environmental parameters of each photovoltaic array grid includes: obtaining the regional illumination angle of the photovoltaic array grid, calculating the difference between the optimal illumination angle and the regional illumination angle, and drawing an illumination angle change curve according to the change of the difference between the optimal illumination angle and the regional illumination angle within a preset time period; obtaining a preset sliding time window, dividing the illumination angle change curve according to the preset sliding time window to obtain a plurality of sub-illumination angle change curves; calculating the average value of each sub-illumination angle change curve, and drawing an average value change curve according to the average value of each sub-illumination angle change curve; performing curve fitting on the average value change curve to obtain an average value prediction curve, and determining the optimal illumination angle duration according to the average value prediction curve; obtaining the average irradiance of the photovoltaic array grid within the preset time period, and using the average irradiance and the optimal illumination angle duration as the environmental parameters of the photovoltaic array grid.

[0018] In this embodiment, the area where the photovoltaic array is located is divided into grids of a preset size to obtain a plurality of photovoltaic array grids, and the environmental parameters of each photovoltaic array grid are obtained by detecting the illumination angle and irradiance within the photovoltaic array grid.

[0019] In some embodiments of the present application, the initial layout plan of the photovoltaic array is determined based on the environmental parameters of each photovoltaic array grid, including: establishing a sample data set based on the environmental parameters of each photovoltaic array grid, and randomly selecting k initial clustering centers of the sample data set; calculating the Euclidean distance from the sample data in the sample data set to the initial clustering center, and dividing each photovoltaic array grid into a corresponding cluster cluster according to the Euclidean distance from the sample data in the sample data set to the initial clustering center; calculating the average value of the sample data in each cluster cluster, and recalculating the cluster center according to the average value of the sample data in each cluster cluster; repeatedly iterating the above steps until the cluster center no longer changes or the number of iterations reaches a preset maximum number of iterations, to obtain the clustering results of the photovoltaic array grid; and determining the initial layout plan of the photovoltaic array based on the clustering results of the photovoltaic array grid.

[0020] In this embodiment, the environmental parameters of each photovoltaic array grid are clustered based on the k-means clustering algorithm, and photovoltaic array grids with similar environmental parameters are clustered into the same cluster, which facilitates the subsequent screening of benchmark clusters.

[0021] S102, determining an initial layout plan of the photovoltaic array according to environmental parameters of each photovoltaic array grid, and simulating the shading condition of the photovoltaic array according to the initial layout plan; In some embodiments of the present application, the initial layout plan of the photovoltaic array is determined according to the clustering results of the photovoltaic array grid, including: determining the cluster center of the photovoltaic array grid according to the clustering results of the photovoltaic array grid, and determining the environmental resource intensity of the corresponding cluster cluster according to the average irradiance of the cluster center of the photovoltaic array grid and the duration of the optimal illumination angle; setting the cluster cluster whose environmental resource intensity is greater than a first preset threshold as the benchmark cluster cluster, and calculating the minimum distance between the photovoltaic components in the remaining cluster clusters and the benchmark cluster cluster; determining the ideal clustering area according to the minimum distance between the photovoltaic components in the remaining cluster clusters and the benchmark cluster cluster, obtaining the load-bearing area boundary of the benchmark cluster cluster, and adjusting the photovoltaic components in the remaining cluster clusters one by one to the ideal clustering area until reaching the load-bearing area boundary of the corresponding benchmark cluster cluster, thereby obtaining the initial layout plan of the photovoltaic array.

[0022] In this embodiment, the environmental resource intensity of the corresponding cluster is obtained by measuring the average irradiance and the optimal illumination angle duration of the cluster center of each photovoltaic array grid corresponding to the cluster, thereby screening out the benchmark cluster, and allocating the photovoltaic components in the remaining clusters to the benchmark cluster with the smallest distance, thereby obtaining the ideal distance area. The load-bearing area of ​​the benchmark cluster is the area within the cluster that can carry the largest number of photovoltaic components. The photovoltaic components of the non-benchmark cluster are adjusted one by one to the ideal clustering area in the order of the smallest distance, until they reach the boundary of the load-bearing area of ​​the corresponding benchmark cluster or all the photovoltaic components of the non-benchmark cluster are adjusted, and the initial layout plan of the photovoltaic array is obtained. The resource utilization of the photovoltaic components is guaranteed to the greatest extent, and the optimized arrangement of the photovoltaic array is achieved.

[0023] In some embodiments of the present application, determining the environmental resource intensity of the corresponding cluster based on the average irradiance of the cluster center of the photovoltaic array grid and the duration of the optimal illumination angle includes: calculating the environmental resource intensity according to the environmental resource intensity calculation formula, and the environmental resource intensity calculation formula is specifically: , in, is the intensity of environmental resources, is the average irradiance, is the optimal illumination angle duration, For preset standard duration, is the preset range coefficient, is the natural exponential function.

[0024] S103 , determining a shadow-blocking area of ​​the photovoltaic array according to the simulation result, and determining a synchronization control scheme of the photovoltaic array according to the shadow-blocking area of ​​the photovoltaic array.

[0025] In some embodiments of the present application, determining the shadow-blocking area of ​​the photovoltaic array based on the simulation results includes: obtaining the geographical location data of the area where the current photovoltaic array is located, and determining the sun's trajectory in the current area based on the geographical location data; establishing a solar trajectory model based on the sun's trajectory in the current area, and inputting the initial layout plan of the photovoltaic array into the solar trajectory model to obtain the shadow-blocking area of ​​each photovoltaic array.

[0026] In this embodiment, based on the geographical location data of the current photovoltaic array area, the sun's trajectory in the corresponding geographical location during the current period is found, thereby establishing a sun trajectory model to obtain the shadow shielding area of ​​the initial photovoltaic array layout plan.

[0027] In some embodiments of the present application, the initial layout plan of the photovoltaic array is input into the solar trajectory model to obtain the shadow-blocking area of ​​each photovoltaic array, including: determining the vertex projection of each photovoltaic component according to the initial layout plan of the photovoltaic array in the solar trajectory model, and establishing the vertex projection point set of the photovoltaic component according to the vertex projection; calculating the Delaunay edges of the vertex projection point set of the photovoltaic component by Delaunay triangulation to form a Delaunay triangulation network; and calculating the minimum polygon including the vertex projection point set of the photovoltaic component by a convex hull algorithm to obtain the shadow-blocking area of ​​the photovoltaic array.

[0028] In this embodiment, the shadow-blocking area of ​​the photovoltaic array can be obtained by the figure enclosed by the projection of all the vertices of the photovoltaic component. Therefore, Delaunay triangulation is used to obtain the Delaunay edges of the rectangular surface vertex projection point set to form a Delaunay triangulation network. Then, the convex hull algorithm is used to obtain the minimum convex polygon that includes the rectangular surface vertex projection point set. The minimum convex polygon is the shadow-blocking area of ​​the photovoltaic array.

[0029] In some embodiments of the present application, the method of determining a synchronous control scheme of a photovoltaic array based on a shadow-blocking area of ​​the photovoltaic array includes: obtaining a historical photovoltaic array layout scheme, determining the historical shadow-blocking characteristics of each photovoltaic component and the corresponding photovoltaic array layout scheme based on the historical photovoltaic array layout scheme, and establishing a training sample set based on the historical shadow-blocking characteristics of each photovoltaic component and the corresponding photovoltaic array layout scheme; establishing a scheme generation model based on the training sample set and training the scheme generation model to obtain a trained scheme generation model; determining the shadow-blocking characteristics of each photovoltaic component based on the shadow-blocking area, inputting the shadow-blocking characteristics of the photovoltaic component into the trained scheme generation model to obtain a synchronous control scheme of the corresponding photovoltaic array.

[0030] In this embodiment, the shading shadow characteristics are the shading position, shading area, and shadow distribution of the shadow shading area. Based on the neural network model and according to the historical shading shadow characteristics of each photovoltaic component and the corresponding photovoltaic array layout plan, a scheme generation model is established and the scheme generation model is trained, so that the trained scheme generation model can generate the corresponding photovoltaic array synchronization control scheme according to the shading shadow characteristics of the current photovoltaic component.

[0031] In order to achieve the above-mentioned purpose, the present invention also provides a photovoltaic array control system based on dynamic spacing and synchronous control, including: a segmentation module, used to segment the area where the photovoltaic array is located to obtain a number of photovoltaic array grids, and obtain the environmental parameters of each photovoltaic array grid; a simulation module, used to determine the initial layout plan of the photovoltaic array according to the environmental parameters of each photovoltaic array grid, and simulate the shading situation of the photovoltaic array according to the initial layout plan; a generation module, used to determine the shadow shading area of ​​the photovoltaic array according to the simulation results, and determine the synchronous control plan of the photovoltaic array according to the shadow shading area of ​​the photovoltaic array.

[0032] By applying the above technical solution, the present invention divides the area where the photovoltaic array is located into several photovoltaic array grids, obtains the environmental parameters of each photovoltaic array grid, determines the initial layout plan of the photovoltaic array based on the environmental parameters of each photovoltaic array grid, simulates the shading of the photovoltaic array based on the initial layout plan, determines the shadow shading area of ​​the photovoltaic array based on the simulation results, and determines the synchronization control plan of the photovoltaic array based on the shadow shading area of ​​the photovoltaic array. The present invention can optimize the layout of the photovoltaic array based on the environmental parameters of each area, and simultaneously synchronize the control of each photovoltaic module to address shadow shading, thereby ensuring the power generation efficiency of the photovoltaic array.

[0033] Through the above description of the embodiments, those skilled in the art will clearly understand that the present invention can be implemented via hardware or via software combined with a necessary general-purpose hardware platform. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product. This software product can be stored on a non-volatile storage medium (such as a CD-ROM, USB flash drive, or external hard drive) and includes instructions for enabling a computer device (such as a personal computer, server, or network device) to execute the methods described in various implementation scenarios of the present invention.

[0034] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A photovoltaic array control method based on dynamic spacing and synchronization control, characterized in that: The method comprises: The area where the photovoltaic array is located is divided into several photovoltaic array grids, and the environmental parameters of each photovoltaic array grid are obtained; Determine the initial layout of the photovoltaic array according to the environmental parameters of each photovoltaic array grid, and simulate the shading situation of the photovoltaic array according to the initial layout plan; The shadow blocking area of ​​the photovoltaic array is determined according to the simulation results, and the synchronization control scheme of the photovoltaic array is determined according to the shadow blocking area of ​​the photovoltaic array.

2. The photovoltaic array control method based on dynamic spacing and synchronization control according to claim 1, characterized in that: The step of obtaining the environmental parameters of each photovoltaic array grid includes: Obtain the regional illumination angle of the photovoltaic array grid, calculate the difference between the optimal illumination angle and the regional illumination angle, and draw an illumination angle change curve based on the change of the difference between the optimal illumination angle and the regional illumination angle within a preset time period; Obtain a preset sliding time window, and divide the illumination angle change curve according to the preset sliding time window to obtain a plurality of sub-illumination angle change curves; Calculate the average value of each sub-illumination angle change curve, and draw an average value change curve based on the average value of each sub-illumination angle change curve; Perform curve fitting on the average value change curve to obtain the average value prediction curve, and determine the optimal illumination angle duration according to the average value prediction curve; The average irradiance of the photovoltaic array grid within a preset time period is obtained, and the average irradiance and the duration of the optimal illumination angle are used as environmental parameters of the photovoltaic array grid.

3. The photovoltaic array control method based on dynamic spacing and synchronization control according to claim 2, characterized in that: The determining of the initial layout plan of the photovoltaic array according to the environmental parameters of each photovoltaic array grid includes: A sample data set is established based on the environmental parameters of each photovoltaic array grid, and k initial cluster centers of the sample data set are randomly selected; Calculate the Euclidean distance between the sample data in the sample data set and the initial cluster center, and divide each photovoltaic array grid into a corresponding cluster according to the Euclidean distance between the sample data in the sample data set and the initial cluster center; Calculate the average value of the sample data in each cluster, and recalculate the cluster center based on the average value of the sample data in each cluster; Repeat the above steps until the cluster center no longer changes or the number of iterations reaches the preset maximum number of iterations, and obtain the clustering result of the photovoltaic array grid; The initial layout plan of the photovoltaic array is determined based on the clustering results of the photovoltaic array grid.

4. The photovoltaic array control method based on dynamic spacing and synchronization control according to claim 3, characterized in that: The determining of an initial arrangement scheme of the photovoltaic array according to the clustering result of the photovoltaic array grid includes: Determine the cluster center of the photovoltaic array grid according to the clustering results of the photovoltaic array grid, and determine the environmental resource intensity of the corresponding cluster cluster according to the average irradiance of the cluster center of the photovoltaic array grid and the duration of the optimal illumination angle; The cluster whose environmental resource intensity is greater than a first preset threshold is set as the benchmark cluster, and the minimum distance between the photovoltaic modules in the remaining clusters and the benchmark cluster is calculated; The ideal clustering area is determined based on the minimum distance between the photovoltaic modules in the remaining clusters and the benchmark cluster, and the boundary of the load-bearing area of ​​the benchmark cluster is obtained. The photovoltaic modules in the remaining clusters are adjusted one by one to the ideal clustering area until they reach the boundary of the load-bearing area of ​​the corresponding benchmark cluster, thus obtaining the initial layout plan of the photovoltaic array.

5. The photovoltaic array control method based on dynamic spacing and synchronization control according to claim 4, characterized in that: The step of determining the environmental resource intensity of the corresponding cluster based on the average irradiance of the cluster center of the photovoltaic array grid and the duration of the optimal illumination angle includes: The environmental resource intensity is calculated according to the environmental resource intensity calculation formula, which is specifically: ， in, is the intensity of environmental resources, is the average irradiance, is the optimal illumination angle duration, For preset standard duration, is the preset range coefficient, is the natural exponential function.

6. The photovoltaic array control method based on dynamic spacing and synchronization control according to claim 1, characterized in that: Determining the shadow shielding area of ​​the photovoltaic array according to the simulation results includes: Obtain the geographical location data of the area where the current photovoltaic array is located, and determine the sun's trajectory in the current area based on the geographical location data; A solar trajectory model is established according to the sun's trajectory in the current area, and the initial layout plan of the photovoltaic array is input into the solar trajectory model to obtain the shadow blocking area of ​​each photovoltaic array.

7. The photovoltaic array control method based on dynamic spacing and synchronization control according to claim 1, characterized in that: The initial arrangement plan of the photovoltaic arrays is input into the solar trajectory model to obtain the shadow shielding area of ​​each photovoltaic array, including: Determine the vertex projection of each photovoltaic module according to the initial arrangement plan of the photovoltaic array in the solar trajectory model, and establish a vertex projection point set of the photovoltaic module according to the vertex projection; Calculate the Delaunay edges of the vertex projection point set of the photovoltaic module through Delaunay triangulation to form a Delaunay triangulation network; The minimum polygon including the vertex projection point set of the photovoltaic module is calculated by the convex hull algorithm to obtain the shadow shading area of ​​the photovoltaic array.

8. The photovoltaic array control method based on dynamic spacing and synchronization control according to claim 7, characterized in that: The method of determining a synchronous control scheme of a photovoltaic array according to a shadow-blocking area of ​​the photovoltaic array includes: Obtain historical photovoltaic array layout plans, determine historical shading characteristics of each photovoltaic component and the corresponding photovoltaic array layout plan based on the historical photovoltaic array layout plan, and establish a training sample set based on the historical shading characteristics of each photovoltaic component and the corresponding photovoltaic array layout plan; Establish a solution generation model based on the training sample set and train the solution generation model to obtain a trained solution generation model; The shadow features of each photovoltaic module are determined according to the shadow shading area, and the shadow shading features of the photovoltaic module are input into the trained scheme generation model to obtain the corresponding synchronization control scheme of the photovoltaic array.

9. A photovoltaic array control system based on dynamic spacing and synchronization control, characterized in that: include: A segmentation module is used to segment the area where the photovoltaic array is located to obtain a number of photovoltaic array grids and obtain the environmental parameters of each photovoltaic array grid; A simulation module is used to determine the initial layout plan of the photovoltaic array according to the environmental parameters of each photovoltaic array grid, and simulate the shading situation of the photovoltaic array according to the initial layout plan; The generation module is used to determine the shadow shielding area of ​​the photovoltaic array according to the simulation results, and determine the synchronization control scheme of the photovoltaic array according to the shadow shielding area of ​​the photovoltaic array.

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