Photovoltaic power station design method and device

Abstract

The invention provides a photovoltaic power station design method and device, and the method comprises the steps: obtaining a photovoltaic panel group string set in an effective region of a photovoltaic power station, determining an electrical capacity constraint condition corresponding to the photovoltaic power station, and carrying out the load balancing clustering of the photovoltaic panel group string set based on the electrical capacity constraint condition, in each first photovoltaic panel string subset, load balancing clustering is carried out on each first photovoltaic panel string subset by taking the maximum string capacity of an inverter as a constraint condition, so that an inverter subarray corresponding to the inverter in each box transformer is obtained, and the inverter subarray is subjected to load balancing clustering on each first photovoltaic panel string subset; and carrying out shortest line planning processing on the box transformer subarray and the inverter subarray to obtain a target line design scheme corresponding to the photovoltaic power station. According to the method, shortest line planning is carried out based on the box transformer subarray and the inverter subarray, full-process automation of assembly arrangement, electrical configuration and line optimization of photovoltaic panel design is realized, and the efficiency of photovoltaic power station design and the resource utilization rate are improved.

Description

Technical Field

[0001] This specification relates to the field of photovoltaic power generation technology, and in particular to a photovoltaic power station design method and apparatus. Background Technology

[0002] With the rapid development of photovoltaic power generation technology, its construction scale continues to expand, and the design difficulty of photovoltaic power stations has also increased significantly. Photovoltaic power station design involves multiple aspects such as the component layout of photovoltaic panels, electrical configuration, and line optimization.

[0003] Currently, the design of photovoltaic power plants mainly relies on manual experience. The arrangement of photovoltaic panels, road planning, and electrical configuration are independent of each other, and each link needs to be determined and integrated independently. This results in long design cycles and low resource utilization for photovoltaic power plants. Moreover, for sites with irregular terrain and complex boundary conditions, due to the large number of photovoltaic panels and complex terrain, traditional methods are difficult to achieve precise adaptation of photovoltaic power plant panel arrangement to terrain. Furthermore, it is impossible to simultaneously minimize line loss and minimize shading, resulting in an unbalanced overall equipment load for photovoltaic power plants and a decrease in overall power generation efficiency.

[0004] Therefore, how to automate the entire process of photovoltaic panel design, including component layout, electrical configuration, and circuit optimization, has become the main problem to be solved. Summary of the Invention

[0005] To overcome the problems existing in related technologies, this specification provides a photovoltaic power plant design method and apparatus.

[0006] According to a first aspect of the embodiments of this specification, a photovoltaic power plant design method is provided, the method comprising: Obtain the photovoltaic panel string set within the effective area of ​​the photovoltaic power station; The electrical capacity constraints corresponding to the photovoltaic power station are determined. Based on the electrical capacity constraints, load balancing clustering is performed on the photovoltaic panel string sets to obtain the transformer subarray corresponding to the photovoltaic power station. The transformer subarray includes: the first photovoltaic panel string subset corresponding to each transformer. In each first photovoltaic panel string subset, the load balancing clustering is performed on each first photovoltaic panel string subset with the maximum string capacity of the inverter as a constraint, to obtain the inverter subarray corresponding to the inverter in each transformer substation. The inverter subarray includes: the second photovoltaic panel string subset corresponding to each inverter. The shortest path planning process is performed on the transformer subarray and the inverter subarray to obtain the target path design scheme for the photovoltaic power station.

[0007] In one possible design, acquiring the photovoltaic panel string set within the effective area of ​​the photovoltaic power station includes: Obtain the target bounding rectangle corresponding to the site boundary of the photovoltaic power station, and the string size of the preset photovoltaic panel string corresponding to the photovoltaic power station; Based on the string size and road construction requirements, road planning is performed in the target bounding rectangle to obtain the target road topology structure corresponding to the site boundary. Within the site boundary, the area excluding the target road topology is defined as the effective area; The layout design of photovoltaic panel strings is carried out within the effective area to obtain a set of photovoltaic panel strings within the effective area.

[0008] In one possible design, the step of performing road planning within the target bounding rectangle based on the string size and road construction requirements to obtain the target road topology corresponding to the site boundary includes: Determine the geometric dimensions of the rectangle corresponding to the target circumscribed rectangle; The road construction requirements, the geometric dimensions of the rectangle, and the string size of the preset photovoltaic panel array are used as road planning constraints. The road planning constraints are input into a preset dynamic boundary planning algorithm to solve the problem with the goal of maximizing land utilization, and the road topology corresponding to the target bounding rectangle is output. Based on the site boundary, the road topology is subjected to boundary adaptation processing to obtain the target road topology.

[0009] In one possible design, the step of designing the layout of photovoltaic panel strings within the effective area to obtain a set of photovoltaic panel strings within the effective area includes: Determine the dividing line parallel to the boundary of the target road topology; Based on the dividing line, the effective region is segmented to obtain multiple consecutive sub-blocks corresponding to the effective region; Determine the minimum row spacing and minimum column spacing of the photovoltaic panel string, and fill the photovoltaic panel string in each continuous sub-block based on the minimum row spacing, the minimum column spacing and the string size to obtain the ideal string capacity corresponding to each continuous sub-block; Boundary detection is performed on the photovoltaic panel strings with the ideal string capacity in each consecutive sub-block to obtain the actual string capacity corresponding to each consecutive sub-block; The photovoltaic panel string set is generated based on the photovoltaic panel string corresponding to each actual string capacity.

[0010] In one possible design, the process of performing shortest path planning on the transformer subarray and the inverter subarray to obtain the target path design scheme corresponding to the photovoltaic power station includes: In the transformer sub-array, the first center position corresponding to all first photovoltaic panel strings of each transformer is determined, and the transformer installation position corresponding to each transformer is determined based on the first center position and the position of the adjacent road boundary. In the inverter subarray, the second center position corresponding to all the second photovoltaic panel strings of each inverter is determined, and the second center position is determined as the inverter installation position corresponding to each inverter; The string position of each photovoltaic panel string in the photovoltaic panel string set is determined. Based on the string position, the installation position of the transformer substation, and the installation position of the inverter, the shortest path planning process is performed to obtain the AC line corresponding to the transformer subarray and the DC line corresponding to the inverter subarray. Based on the AC line and the DC line, a target line design scheme corresponding to the photovoltaic power station is generated.

[0011] In one possible design, generating the target line design scheme corresponding to the photovoltaic power station based on the AC line and the DC line includes: Based on the AC line and the DC line, a line design scheme corresponding to the photovoltaic power station is generated; Determine the AC electrical quantities corresponding to the AC lines and the DC electrical quantities corresponding to the DC lines in the circuit design scheme; If the AC electrical quantity is lower than the AC electrical quantity threshold and the DC electrical quantity is lower than the DC electrical quantity threshold, then the circuit design scheme is determined as the target circuit design scheme.

[0012] In one possible design, after determining the AC electrical quantities corresponding to the AC lines and the DC electrical quantities corresponding to the DC lines in the circuit design scheme, the method further includes: If the AC electrical quantity is not lower than the AC electrical quantity threshold, or the DC electrical quantity is not lower than the DC electrical quantity threshold, then the quantity of electrical equipment or the parameters of the electrical equipment shall be readjusted.

[0013] In one possible design, generating the target line design scheme corresponding to the photovoltaic power station based on the AC line and the DC line includes: Determine the AC relative coordinates of each node in the AC line, and determine the DC relative coordinates of each node in the DC line; Transform each AC relative coordinate and each DC relative coordinate to the actual measurement coordinate system to obtain the actual AC design coordinates corresponding to each AC relative coordinate and the actual DC design coordinates corresponding to each DC relative coordinate. Based on each actual AC design coordinate and each actual DC design coordinate, the target line design scheme corresponding to the photovoltaic power station is generated.

[0014] According to a second aspect of the embodiments of this specification, a photovoltaic power plant design apparatus is provided, comprising: The area determination module is used to obtain the photovoltaic panel string set within the effective area of ​​the photovoltaic power station; The transformer substation planning module is used to determine the electrical capacity constraints corresponding to the photovoltaic power station, and to perform load balancing clustering on the photovoltaic panel string sets based on the electrical capacity constraints to obtain the transformer subarray corresponding to the photovoltaic power station. The transformer subarray includes: the first photovoltaic panel string subset corresponding to each transformer substation. The equipment optimization module is used to perform load balancing clustering on each first photovoltaic panel string subset with the maximum string capacity of the inverter as a constraint, to obtain the inverter subarray corresponding to the inverter in each transformer substation. The inverter subarray includes: a second photovoltaic panel string subset corresponding to each inverter. The route planning module is used to perform shortest route planning on the transformer subarray and the inverter subarray to obtain the target route design scheme corresponding to the photovoltaic power station.

[0015] In one possible design, the region determination module is specifically used to obtain the target circumscribed rectangle corresponding to the site boundary of the photovoltaic power station, and the string size of the preset photovoltaic panel string corresponding to the photovoltaic power station. Based on the string size and road construction requirements, road planning is performed in the target circumscribed rectangle to obtain the target road topology structure corresponding to the site boundary. Within the site boundary, the area excluding the target road topology structure is determined as the effective area. The layout design of the photovoltaic panel string is performed within the effective area to obtain the photovoltaic panel string set within the effective area.

[0016] In one possible design, the region determination module is further configured to determine the rectangular geometric dimensions corresponding to the target circumscribed rectangle, using the road construction requirements, the rectangular geometric dimensions, and the string size of the preset photovoltaic panel array as road planning constraints. The road planning constraints are input into a preset dynamic boundary planning algorithm to solve the problem with the objective of maximizing land utilization, and the road topology corresponding to the target circumscribed rectangle is output. The road topology is then subjected to boundary adaptation processing based on the site boundary to obtain the target road topology.

[0017] In one possible design, the region determination module is further configured to determine a dividing line parallel to the boundary of the target road topology, perform region segmentation processing on the effective region based on the dividing line to obtain multiple consecutive sub-blocks corresponding to the effective region, determine the minimum row spacing and minimum column spacing of the photovoltaic panel strings, fill photovoltaic panel strings in each consecutive sub-block based on the minimum row spacing, the minimum column spacing and the string size to obtain the ideal string capacity corresponding to each consecutive sub-block, perform boundary detection on the photovoltaic panel strings with the ideal string capacity in each consecutive sub-block to obtain the actual string capacity corresponding to each consecutive sub-block, and generate the photovoltaic panel string set based on the photovoltaic panel strings corresponding to each actual string capacity.

[0018] In one possible design, the route planning module is specifically used to: determine the first center position corresponding to all first photovoltaic panel strings of each transformer sub-array; determine the transformer installation position corresponding to each transformer sub-array based on the first center position and the adjacent road boundary position; determine the second center position corresponding to all second photovoltaic panel strings of each inverter in the inverter sub-array; determine the second center position as the inverter installation position corresponding to each inverter; determine the string position of each photovoltaic panel string in the photovoltaic panel string set; perform shortest route planning processing based on the string position, the transformer sub-array installation position, and the inverter installation position to obtain the AC line corresponding to the transformer sub-array and the DC line corresponding to the inverter sub-array; and generate the target route design scheme corresponding to the photovoltaic power station based on the AC line and the DC line.

[0019] In one possible design, the line planning module is further configured to generate a line design scheme corresponding to the photovoltaic power station based on the AC line and the DC line, determine the AC electrical quantity corresponding to the AC line and the DC electrical quantity corresponding to the DC line in the line design scheme, and if the AC electrical quantity is lower than the AC electrical quantity threshold and the DC electrical quantity is lower than the DC electrical quantity threshold, then the line design scheme is determined as the target line design scheme.

[0020] In one possible design, the circuit planning module is further configured to readjust the quantity or parameters of electrical equipment if the AC electrical quantity is not lower than the AC electrical quantity threshold or the DC electrical quantity is not lower than the DC electrical quantity threshold.

[0021] In one possible design, the line planning module is further configured to determine the AC relative coordinates of each node in the AC line and the DC relative coordinates of each node in the DC line, transform each AC relative coordinate and each DC relative coordinate to the actual measurement coordinate system, obtain the actual AC design coordinates corresponding to each AC relative coordinate and the actual DC design coordinates corresponding to each DC relative coordinate, and generate the target line design scheme corresponding to the photovoltaic power station based on each actual AC design coordinate and each actual DC design coordinate.

[0022] According to a third aspect of the embodiments of this specification, a computer device is provided, comprising: processor; Memory used to store processor-executable instructions; The processor is configured to: acquire a set of photovoltaic panel strings within the effective area of ​​the photovoltaic power station; The electrical capacity constraints corresponding to the photovoltaic power station are determined. Based on the electrical capacity constraints, load balancing clustering is performed on the photovoltaic panel string sets to obtain the transformer subarray corresponding to the photovoltaic power station. The transformer subarray includes: the first photovoltaic panel string subset corresponding to each transformer. In each first photovoltaic panel string subset, the load balancing clustering is performed on each first photovoltaic panel string subset with the maximum string capacity of the inverter as a constraint, to obtain the inverter subarray corresponding to the inverter in each transformer substation. The inverter subarray includes: the second photovoltaic panel string subset corresponding to each inverter. The shortest path planning process is performed on the transformer subarray and the inverter subarray to obtain the target path design scheme for the photovoltaic power station.

[0023] The technical solutions provided in the embodiments of this specification may include the following beneficial effects: In the embodiments of this specification, road planning is performed within the target circumscribed rectangle corresponding to the photovoltaic power station to obtain the target road topology, thereby determining the effective area for the photovoltaic power station design. Load balancing clustering of photovoltaic panel strings is performed using transformer sub-arrays as cluster centers to obtain transformer sub-arrays. Similarly, load balancing clustering of the first photovoltaic panel string subset corresponding to the transformer sub-array is performed using each inverter in the transformer sub-array as a cluster center to obtain an inverter sub-array. Considering the electrical capacity constraints of the transformer sub-arrays and the maximum string capacity constraints of the inverters, the power generation efficiency of the photovoltaic power station is ensured to be improved. Furthermore, shortest path planning is performed based on the transformer sub-arrays and inverter sub-arrays to ensure the shortest possible line connections for the photovoltaic power station. This achieves full-process automation of the photovoltaic panel design's component layout, electrical configuration, and line optimization, thereby improving the resource utilization rate of the photovoltaic power station.

[0024] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this specification. Attached Figure Description

[0025] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this specification and, together with the description, serve to explain the principles of this specification.

[0026] Figure 1 This is a flowchart illustrating a photovoltaic power plant design method according to an exemplary embodiment of this specification.

[0027] Figure 2 This is a schematic flowchart illustrating the process of determining the target road topology corresponding to the site boundary according to an exemplary embodiment of this specification.

[0028] Figure 3 This is a schematic diagram illustrating the process of intelligently arranging photovoltaic panel arrays within an effective area according to an exemplary embodiment of this specification.

[0029] Figure 4 This is a schematic diagram illustrating the intelligent arrangement of photovoltaic panel strings within a site boundary according to an exemplary embodiment of this specification.

[0030] Figure 5 This is a schematic diagram of a box-type variable subarray illustrated in this specification according to an exemplary embodiment.

[0031] Figure 6 This is a schematic diagram of an inverter subarray in a single transformer substation, illustrated in this specification according to an exemplary embodiment.

[0032] Figure 7 This is a block diagram illustrating a photovoltaic power plant design device according to an exemplary embodiment.

[0033] Figure 8 This is a schematic diagram of the structure of a computer device according to an exemplary embodiment. Detailed Implementation

[0034] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this specification. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this specification as detailed in the appended claims.

[0035] The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of this specification. The singular forms “a,” “the,” and “the” as used in this specification and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0036] It should be understood that although the terms first, second, third, etc., may be used in this specification to describe various information, this information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of this specification, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to determination."

[0037] In the past, the design of photovoltaic power plants mainly relied on manual experience. The arrangement of photovoltaic panels, road planning, and electrical configuration were independent of each other, and each link needed to be determined separately and manually integrated. This resulted in long design cycles and low resource utilization. Moreover, for sites with irregular terrain and complex boundary conditions, due to the large number of photovoltaic panels and complex terrain, traditional methods could not achieve precise adaptation of photovoltaic power plant panel arrangement to the terrain. Furthermore, it was impossible to simultaneously minimize line loss and shading, resulting in an unbalanced overall equipment load and a decrease in the overall power generation efficiency of the photovoltaic power plant. Therefore, how to automate the entire process of photovoltaic panel design, including panel arrangement, electrical configuration, and line optimization, has become a major problem to be solved.

[0038] See Figure 1 As shown, this is a flowchart illustrating a photovoltaic power station design method provided in an embodiment of this application. Taking a server as an example, the specific implementation process of this method is as follows: In step S110, the photovoltaic panel string set within the effective area of ​​the photovoltaic power station is obtained.

[0039] In the practical application of photovoltaic power station design, for site boundaries with irregular terrain and complex boundary conditions, such as the presence of buildings and depressions at the site boundary, it is impossible to achieve precise matching of spatial layout and optimal adaptation of overall efficiency between land resource utilization, electrical equipment layout and line route planning. Therefore, the embodiments of this application need to determine the coordinates of each site boundary vertex corresponding to the site boundary of the photovoltaic power station in the actual measurement coordinate system, and input the coordinates of each site boundary vertex into the boundary optimization algorithm to obtain the minimum bounding rectangle corresponding to the site boundary, and determine the minimum bounding rectangle as the target bounding rectangle corresponding to the site boundary.

[0040] The boundary optimization algorithm mentioned above can be the Rotating Calipers Algorithm (RCA). Since determining the target circumscribed rectangle based on the Rotating Calipers Algorithm is a well-known technique to those skilled in the art, it will not be explained in detail here.

[0041] In order to improve the efficiency of photovoltaic power station design, this application embodiment needs to establish a relative coordinate system with the lower left corner of the target circumscribed rectangle as the reference point coordinate, and perform a translation transformation on the target circumscribed rectangle in the actual measurement coordinate system so that the lower left corner of the target circumscribed rectangle is the origin.

[0042] Optionally, if there are pre-set photovoltaic panel strings within the site boundary, the minimum abscissa and minimum ordinate corresponding to the pre-set photovoltaic panel strings are determined, and the relative abscissa and relative ordinate corresponding to the pre-set photovoltaic panel strings in the relative coordinate system are determined. The relative abscissa is added to the minimum abscissa to obtain the target abscissa corresponding to the pre-set photovoltaic panel strings, and the relative ordinate is added to the minimum ordinate to obtain the target ordinate corresponding to the pre-set photovoltaic panel strings. This ensures that all abscissas of the pre-set photovoltaic panel strings within the site boundary are positive, thereby improving the calculation accuracy and efficiency in the photovoltaic power station design process.

[0043] In one possible design, in order to ensure the closure of the site boundary, this embodiment of the application needs to verify the site boundary based on the ray method, so as to ensure that the site boundary is a closed area without intersections.

[0044] Verifying site boundaries using the ray method is a technique well-known to those skilled in the art, and therefore will not be elaborated upon here.

[0045] A flowchart illustrating the process of determining the target road topology corresponding to the site boundary in this embodiment is provided below. Figure 2 As shown, the specific process is as follows: In step S210, the geometric dimensions of the rectangle corresponding to the target circumscribed rectangle are determined.

[0046] The geometric dimensions of the rectangle mentioned above refer to the length and width of the target circumscribed rectangle, with the length and width in meters.

[0047] In step S220, the road construction requirements, rectangular geometric dimensions, and pre-set photovoltaic panel string dimensions are used as road planning constraints.

[0048] The road construction requirement can be the road width. Then, the string size of the preset photovoltaic panel string corresponding to the photovoltaic power station is determined. The string size is the sum of the total length of all preset photovoltaic panels in the preset photovoltaic panel string and the minimum column spacing between the preset photovoltaic panels, as well as the width of the preset photovoltaic panels. The road construction requirement, the rectangular geometric dimensions, and the string size of the preset photovoltaic panel string are determined as road planning constraints.

[0049] Based on the above method, the road planning constraints include string size, rectangular geometry, and road construction requirements, ensuring the practicality of the road planning constraints and facilitating accurate matching of the actual layout requirements of photovoltaic panel strings, thereby maximizing land resources in the effective area.

[0050] In step S230, the road planning constraints are input into a preset dynamic boundary planning algorithm to solve the problem with the goal of maximizing land utilization, and the road topology structure corresponding to the target bounding rectangle is output.

[0051] The aforementioned preset dynamic boundary planning algorithm can be a greedy algorithm (GA). Since the greedy algorithm is a well-known technique in the art, it will not be explained in detail here.

[0052] Based on the above method, the preset dynamic boundary planning algorithm is solved with the goal of maximizing land utilization, ensuring that the road topology is the optimal road topology within the target bounding rectangle, thus ensuring the practicality of the photovoltaic power station.

[0053] In step S240, the road topology is subjected to boundary adaptation processing based on the site boundary to obtain the target road topology.

[0054] Since there are situations where the road topology does not match the site boundary, such as when the road topology crosses the site boundary, this application embodiment can detect the road topology based on a boundary collision detection algorithm. The boundary collision detection algorithm will identify road segments that exceed the site boundary and intelligently truncate or optimize the direction of the road segments to obtain the target road topology, ensuring that the target road topology is located within the site boundary.

[0055] For example, the target road topology can be a multi-level road network system consisting of east-west main roads and north-south branch roads, with the main roads being wider than the branch roads, thereby meeting the different transportation needs during the construction of photovoltaic power plants, as well as the operation and maintenance needs after the construction of photovoltaic power plants is completed.

[0056] In one possible design, for irregular areas at the site boundary, in order to ensure the connectivity of the road topology, it is necessary to determine the boundary shape corresponding to the irregular area and dynamically optimize the road direction or road spacing based on the boundary shape, thereby maximizing land utilization.

[0057] For example, the western boundary of a site forms a semi-circular concave area to avoid a protected tree. This semi-circular concave area is an irregular area. If the road is built in a straight line, it will either be too close to the protected tree, affecting construction and tree growth, or it will be too far away, wasting space. The road in the irregular area can be built into a semi-circle that fits the boundary. At the same time, the road spacing can be reduced, which avoids the tree and maximizes space resources, thereby optimizing the road direction and the road spacing.

[0058] Based on the above method, the road topology is subjected to boundary adaptation processing to obtain the target road topology, ensuring that the target road topology is located within the effective area and realizing the maximum land resource utilization of the effective area.

[0059] In order to realize the design of photovoltaic power plants, it is necessary to remove the area corresponding to the target road topology in the site boundary and determine the remaining area in the site boundary as the effective area. This effective area is the buildable area determined based on the site boundary.

[0060] To achieve intelligent arrangement of photovoltaic panel strings within the effective area, the server needs to design the layout of photovoltaic panel strings within the effective area, thereby obtaining a set of photovoltaic panel strings within the effective area. The photovoltaic panel strings are generated based on the preset specifications of the photovoltaic panel strings and the site boundaries. The preset specifications of the photovoltaic panel strings can be adjusted based on the actual situation of the photovoltaic power station construction.

[0061] A flowchart illustrating the intelligent arrangement of photovoltaic panel strings within the effective area is provided below. Figure 3 ,exist Figure 3 The specific process of obtaining the photovoltaic panel array is as follows: In step S310, a dividing line parallel to the boundary of the target road topology is determined.

[0062] Determine scan lines parallel to the boundaries of the target road topology and define them as dividing lines.

[0063] For example, if the target road topology is a multi-level road network system consisting of east-west main roads and north-south branch roads, then the scan line is parallel to the boundary of the east-west main road and the boundary of the north-south branch road.

[0064] In step S320, the effective region is segmented based on the dividing line to obtain multiple continuous sub-blocks corresponding to the effective region.

[0065] The effective area is divided by dividing lines to obtain multiple continuous sub-blocks corresponding to the effective area, which makes the shape and layout of the continuous sub-blocks more regular and is conducive to planning the arrangement direction of photovoltaic panel strings.

[0066] In step S330, the minimum row spacing and minimum column spacing of the photovoltaic panel string are determined. Based on the minimum row spacing, minimum column spacing and string size, the photovoltaic panel string is filled in each continuous sub-block to obtain the ideal string capacity corresponding to each continuous sub-block.

[0067] During the power generation process of a photovoltaic power station, there are situations where the front row of photovoltaic panels blocks sunlight from the rear row, resulting in low power generation efficiency for the rear row. There are also situations where the distance between the front and rear rows of photovoltaic panels is too great, wasting valuable land resources. To ensure the power generation efficiency of the photovoltaic panels and maximize the use of available land resources, it is necessary to determine the minimum row spacing of the photovoltaic panels. The process for determining the minimum row spacing is as follows: The latitude and longitude corresponding to the center position of the effective area are determined, and the latitude and longitude are substituted into the solar declination angle formula to obtain the solar declination. In this embodiment, the solar altitude angle and solar azimuth angle are calculated based on the true solar time of the winter solstice from 9:00 am to 3:00 pm. The solar altitude angle is the lowest and the shadow is the longest on the winter solstice. Therefore, the solar altitude angle and solar azimuth angle are calculated based on the latitude and longitude, solar declination, and true solar time. The solar altitude angle and solar azimuth angle can be calculated from the corresponding time of 9:00 am or 3:00 pm on the winter solstice.

[0068] Furthermore, based on latitude and longitude, solar declination, and true solar time, the specific process for calculating the solar altitude angle and solar azimuth angle is as follows: ω = 15° × (true solar time - 12) The ω mentioned above is the solar hour angle, and 12 is noon 12:00.

[0069] · · = The above The solar altitude angle, The latitude corresponding to the center of the effective area. The solar declination, It is the solar hour angle.

[0070] = The above The azimuth of the sun. The solar declination, It is the solar hour angle.

[0071] To ensure high power generation efficiency of photovoltaic power plants, the minimum row spacing for photovoltaic panel strings is determined based on the solar altitude angle and solar azimuth angle. The specific formula for determining the minimum row spacing is as follows: D=H* In the above description, D represents the minimum row spacing, and H represents the tilt height of the photovoltaic panel string. The tilt height is the height difference between the vertical projections of the highest and lowest points of the photovoltaic panel string onto the ground. The azimuth of the sun. This is the solar altitude angle.

[0072] This application embodiment also needs to determine the minimum column spacing corresponding to the photovoltaic panel string. The minimum column spacing complies with electrical safety specifications to prevent short circuits in the cables between photovoltaic panel strings due to excessive proximity, and to enable construction and maintenance, ensuring that personnel can pass sideways to perform maintenance. The minimum column spacing can be 0.8 meters.

[0073] To improve the space utilization and power generation efficiency of photovoltaic panel strings, it is necessary to fill photovoltaic panel strings in each continuous sub-block based on the minimum row spacing, minimum column spacing, and string size to obtain the ideal string capacity corresponding to each continuous sub-block.

[0074] Specifically, within each continuous sub-block, the step size is determined by the string size and the minimum row spacing and minimum column spacing. The step size is the distance between the center points of two photovoltaic panel strings, and it is divided into horizontal step size and vertical step size. The horizontal step size is the sum of the width of the string size and the minimum column spacing, and the vertical step size is the sum of the length of the string size and the minimum row spacing. A two-dimensional grid is established based on the horizontal and vertical step sizes, and the intersection points in the two-dimensional grid are determined as the string center points. The string center points are used to determine the installation position of the photovoltaic panel strings.

[0075] The coordinates of the four corner points of the photovoltaic panel string are calculated based on the string center point. When the x-coordinate of each corner point is within the x-coordinate range of the continuous sub-block and the y-coordinate is within the y-coordinate range of the continuous sub-block, the photovoltaic panel string is determined to be within the continuous sub-block. Otherwise, the photovoltaic panel string is determined to be beyond the boundary of the continuous sub-block, and the string center point needs to be adjusted until the photovoltaic panel string corresponding to the string center point is within the continuous sub-block, thereby ensuring that the photovoltaic panel string is within the effective area.

[0076] It should be noted that the string size of the preset photovoltaic panel string is consistent with the string size of the photovoltaic panel string in the photovoltaic panel string set corresponding to the effective area. The preset photovoltaic panel string can also be a photovoltaic panel string.

[0077] In step S340, boundary detection is performed on the photovoltaic panel strings with ideal string capacity in each continuous sub-block to obtain the actual string capacity corresponding to each continuous sub-block.

[0078] Before placing photovoltaic (PV) panel strings, boundary detection is required for the PV panel strings corresponding to the ideal string capacity within each continuous sub-block to prevent PV panel strings from being located outside the effective area. In this embodiment, the coordinates of the four corner points corresponding to each continuous sub-block need to be determined. Then, a horizontal ray is drawn from any point inside the continuous sub-block to the right, and the number of intersection points between the horizontal ray and the continuous sub-block is determined. When the number of intersection points is odd, it means that the point is inside the continuous sub-block and PV panel strings can be placed. When the number of intersection points is even, it means that the point is outside the continuous sub-block, indicating that the continuous sub-block exceeds the effective area and PV panel strings are prohibited from being placed.

[0079] In step S350, a photovoltaic panel string set is generated based on the photovoltaic panel string corresponding to each actual string capacity.

[0080] The actual string capacity corresponding to the continuous sub-blocks after boundary detection is determined. The actual string capacity corresponding to each continuous sub-block is added together to obtain the total number of intelligently arranged photovoltaic panel strings. All intelligently arranged photovoltaic panel strings are then aggregated to form a photovoltaic panel string set, thereby ensuring that the photovoltaic panel string set is arranged in the optimal way.

[0081] Using the methods described above, road planning is carried out based on string size and construction requirements to obtain the target road topology, ensuring the rationality of the target road topology. This makes the construction and maintenance of photovoltaic power stations more convenient. Furthermore, the layout design of photovoltaic panel strings is carried out within the effective area, and it is determined whether the intelligent arrangement of photovoltaic panel strings is within the effective area. This ensures that all relevant facilities in the photovoltaic power station design are within the effective area, and realizes the intelligent arrangement of photovoltaic panel strings.

[0082] This application provides a schematic diagram of the intelligent arrangement of photovoltaic panel strings within a site boundary, as shown in the embodiment. Figure 4 As shown, in Figure 4 In the diagram, rows of gray areas represent photovoltaic panel strings, and the white gaps between these gray areas represent roads. Figure 4 The target road topology is oriented east-west and north-south.

[0083] In step S120, the electrical capacity constraints corresponding to the photovoltaic power station are determined. Based on the electrical capacity constraints, load balancing clustering is performed on the photovoltaic panel string sets to obtain the transformer subarray corresponding to the photovoltaic power station.

[0084] In the process of photovoltaic power generation, inverters convert the direct current generated by photovoltaic panel modules into alternating current. The transformer substation is used for voltage transformation and has heat dissipation and temperature regulation functions. However, too many inverters, cables and other equipment may overheat and be damaged due to overload, and unbalanced load will cause a loss of power generation efficiency. Therefore, in order to avoid overload of electrical equipment and improve the power generation efficiency of photovoltaic power station, it is necessary to determine the electrical capacity constraints of photovoltaic power station. The electrical capacity constraints can be the rated capacity of transformer substation, and then the position and rated power of each photovoltaic panel string in the photovoltaic panel string assembly.

[0085] Using photovoltaic panel string sets as point sets and the location and rated power of photovoltaic panel strings as characteristics, under the condition of satisfying electrical capacity constraints, load balancing clustering is performed on the photovoltaic panel string sets to form clusters centered on the transformer substation. All clusters are determined as transformer subarrays, and each transformer subarray includes multiple photovoltaic panel strings corresponding to each transformer substation. The multiple photovoltaic panel strings corresponding to the transformer substation are determined as the first photovoltaic panel string subset.

[0086] It should be noted that the number of transformer substations is determined based on the total rated power corresponding to the photovoltaic panel array and the electrical capacity of the transformer substation.

[0087] The clustering method described above can be the K-means clustering algorithm (K-Means), which will not be discussed in detail here.

[0088] The schematic diagram of the transformer subarray in this embodiment is shown below. Figure 5 As shown, in Figure 5 In the diagram, the transformer substation is marked TR7, with a capacity of 2774.2 kW. The rows of gray areas represent the first photovoltaic panel string subset, and the gaps in the middle represent roads. The first photovoltaic panel string subset includes 194 first photovoltaic panel strings.

[0089] Using the above method, based on electrical capacity constraints and load balancing thresholds, the photovoltaic panel strings are divided with the transformer substation as the cluster center. This ensures that the transformer substation operates in a high-efficiency working range, avoids power generation loss caused by load imbalance, and improves the safety and power generation efficiency of the photovoltaic power station.

[0090] In step S130, in each first photovoltaic panel string subset, load balancing clustering is performed on each first photovoltaic panel string subset with the maximum string capacity of the inverter as a constraint, to obtain the inverter subarray corresponding to the inverter in each transformer substation.

[0091] After determining the transformer subarray, since the transformer subarray is used for power change and transmission in photovoltaic power plants, it does not directly meet the grid demand. Therefore, load balancing clustering is required for the transformer subarray to obtain the inverter subarray.

[0092] Since the transformer subarray contains multiple transformers and a subset of first photovoltaic panel strings corresponding to each transformer, this application embodiment uses the subset of first photovoltaic panel strings corresponding to one transformer for illustration. The specific process is as follows: Using the maximum string capacity corresponding to the inverter as a constraint, load balancing clustering is performed on the first photovoltaic panel string subset. At this point, each inverter in the transformer substation is a cluster center. Multiple first photovoltaic panel strings corresponding to each inverter are determined as the second photovoltaic panel string subset, thus obtaining the inverter subarray corresponding to the transformer substation. Each inverter subarray contains the second photovoltaic panel string subset corresponding to each inverter. Figure 5 If the transformer box is replaced with an inverter, a schematic diagram of the second photovoltaic panel string subset corresponding to a single inverter is obtained, which will not be explained in detail here.

[0093] When clustering with inverters as cluster centers, there are first photovoltaic panel strings that are not assigned to inverters. The K-Nearest Neighbor (KNN) classification algorithm is used to assign the unassigned first photovoltaic panel strings to the nearest inverter that is not fully loaded, thereby ensuring the rationality of electrical connections and ensuring that each first photovoltaic panel string has a corresponding inverter, thus ensuring the power generation efficiency of the photovoltaic power station.

[0094] It should be noted that the maximum string capacity of the inverter is determined based on the inverter's electrical capacity and capacity ratio. The maximum string capacity is obtained by multiplying the electrical capacity by the capacity ratio. The capacity ratio can be 1.2, which allows us to determine the maximum number of the first photovoltaic panel strings connected to the inverter.

[0095] The above capacity ratio can be adjusted according to the actual situation of the photovoltaic power station, which will not be discussed in detail here.

[0096] In this embodiment, after performing multiple load balancing clustering operations with the transformer substation and inverter as cluster centers respectively, a schematic diagram of the inverter subarray in a single transformer substation is shown below. Figure 6 As shown, the transformer substation is marked TR7, with a capacity of 2774.2 kW. TR7 corresponds to eight inverters: INV51, INV52, INV53, INV54, INV55, INV56, INV57, and INV58. The number 194 represents the 194 first photovoltaic panel strings corresponding to TR7. The rows of gray areas represent the first photovoltaic panel strings. For schematic diagrams of inverter subarrays for other transformer substations, please refer to [reference needed]. Figure 6 We will not go into too much detail here.

[0097] Using the above method, based on the subset of the first photovoltaic panel strings corresponding to each transformer substation, the first photovoltaic panel strings are classified with the inverters in the transformer substation as the cluster centers, and the maximum string capacity corresponding to the inverters is limited. This ensures that the inverters can convert the current of the first photovoltaic panel strings to the maximum extent under load balancing, thereby meeting the grid demand, improving the utilization rate of the inverters and the economic efficiency of photovoltaic power generation.

[0098] In step S140, the shortest path planning process is performed on the transformer subarray and inverter subarray to obtain the target path design scheme corresponding to the photovoltaic power station.

[0099] To ensure the economic efficiency and practicality of photovoltaic power plant construction, it is necessary to perform shortest path planning for the transformer subarray and inverter subarray. The specific process of shortest path planning is as follows: First, determine the string coordinates of all first photovoltaic panel strings corresponding to a single transformer substation. Calculate the average of the abscissas of all first photovoltaic panel strings to obtain the first average abscissa of the first photovoltaic panel string. Calculate the average of the ordinates of all strings to obtain the first average ordinate of the first photovoltaic panel string. Based on the first average abscissa and the first average ordinate, determine the geometric center of all first photovoltaic panel strings corresponding to a single transformer substation. This geometric center is designated as the first center position. Based on the first center position and the location near the road boundary, determine the installation position of the transformer substation. The location near the road boundary can be determined and adjusted based on the actual construction of the photovoltaic power station, thereby ensuring the convenience of construction and operation and maintenance of the photovoltaic power station.

[0100] Secondly, within the inverter subarray, it is necessary to determine the string coordinates of each second photovoltaic panel string in the second photovoltaic panel string subarray corresponding to a single inverter, calculate the second average abscissa and second average ordinate corresponding to all string coordinates, and based on the second average abscissa and second average ordinate, generate the geometric center of all second photovoltaic panel strings corresponding to a single inverter, determine this geometric center as the second center position, and determine the second center position as the inverter installation position of the single inverter.

[0101] This application only describes the determination of the installation location of a single transformer substation and the installation location of a single inverter. Since the process of determining the installation location of the transformer substation and the inverter is the same, it will not be repeated here.

[0102] After determining the installation locations of each transformer substation and each inverter, in order to ensure the practicality and economy of the photovoltaic power station design, this embodiment of the application also needs to determine the string position of each photovoltaic panel string in the photovoltaic panel string group. Then, based on the string position, transformer substation installation location, and inverter installation location, the shortest path planning process is performed. Since the power generation process of the photovoltaic power station uses DC power between the second photovoltaic panel string and the inverter, and AC power between the inverter and the transformer substation, the shortest path planning process is divided into DC shortest path planning and AC shortest path planning, thereby obtaining the AC line corresponding to the transformer subarray and the DC line corresponding to the inverter subarray.

[0103] The above shortest route planning process can be implemented based on the Manhattan distance algorithm and the Direct Current Routing Algorithm (DCRA). The Manhattan distance algorithm is used to calculate the shortest distance between two points, and the DCRA algorithm is used to ensure that the corresponding line of the photovoltaic power station is the shortest. Since the Manhattan algorithm and the DCRA algorithm are well known to those skilled in the art, they will not be explained in detail here.

[0104] Finally, based on the AC lines corresponding to the transformer subarray and the DC lines corresponding to the inverter subarray, a target line design scheme for the photovoltaic power station is generated.

[0105] In one possible design, in order to ensure the safety of the photovoltaic power station during the power generation process, it is necessary to generate a line design scheme for the photovoltaic power station based on the AC line corresponding to the transformer subarray and the DC line corresponding to the inverter subarray, and determine the AC electrical quantities corresponding to the AC line and the DC electrical quantities corresponding to the DC line in the line design scheme.

[0106] The system detects AC lines based on AC electrical quantities and DC lines based on DC electrical quantities. When both AC and DC electrical quantities are below the AC electrical quantity threshold, the line design scheme for the photovoltaic power station is considered reliable. When either AC or DC electrical quantities are above the AC electrical quantity threshold, the line design scheme for the photovoltaic power station is considered unreliable, requiring adjustments to the quantity or parameters of electrical equipment. This equipment can include photovoltaic panel strings, transformer substations, inverters, etc., and the parameters can include the power of the photovoltaic panel strings, transformer substations, and inverters.

[0107] The aforementioned AC and DC electrical quantities can be current, impedance, line loss, and voltage drop, etc. Since the calculation of AC and DC electrical quantities is a well-known technique to those skilled in the art, it will not be elaborated on here.

[0108] Based on the above method, the geometric center of the inverter is determined as the installation location of the transformer substation, and the geometric center of the second photovoltaic panel string is determined as the installation location of the inverter. This ensures the economy and practicality of the photovoltaic power station design, and the transformer substation, inverter, and photovoltaic panel string are planned with the shortest path to maximize resources in the photovoltaic power station design.

[0109] In one possible design, the relative AC coordinates of each node in the AC line and the relative DC coordinates of each node in the DC line are determined. Nodes can be transformer substations, inverters, photovoltaic panel strings, or line inflection points. Since the relative AC and DC coordinates are in a relative coordinate system, they need to be transformed from the relative coordinate system to the actual measurement coordinate system to obtain the actual relative AC coordinates and the actual relative AC coordinates corresponding to the relative DC coordinates. Finally, based on each actual AC design coordinate and each actual DC design coordinate, a target line design scheme for the photovoltaic power station is generated. The target line design scheme includes, in the actual measurement coordinate system, the string coordinates of the photovoltaic panel strings in the AC and DC lines, the installation location of the transformer substation, the installation location of the inverter, the centerline coordinates of the target road topology, and the route coordinates of the DC and AC lines.

[0110] Optionally, it is also necessary to determine the minimum abscissa of each node in the actual measurement coordinate system, and the minimum ordinate of each node in the actual ordinate system. Subtract the minimum abscissa and minimum ordinate from the actual AC design coordinates of each node in the AC line to obtain the target actual AC design coordinates. Similarly, subtract the minimum abscissa and minimum ordinate from the actual DC design coordinates of each node in the DC line to obtain the target actual DC design coordinates. Based on the target actual AC design coordinates and the target actual DC design coordinates, the target line design scheme is generated.

[0111] Using the methods described above, road planning is performed within the target circumscribed rectangle corresponding to the photovoltaic power station to obtain the target road topology, thereby determining the effective area for the photovoltaic power station design. Load balancing clustering of photovoltaic panel strings is then performed using transformer sub-arrays as cluster centers to obtain transformer sub-arrays. Similarly, load balancing clustering of the first photovoltaic panel string subset corresponding to the transformer sub-array is performed using each inverter in the transformer sub-array as a cluster center to obtain inverter sub-arrays. Considering the electrical capacity constraints of the transformer sub-arrays and the maximum string capacity constraints of the inverters, the power generation efficiency of the photovoltaic power station is ensured to be improved. Furthermore, shortest path planning is performed based on the transformer sub-arrays and inverter sub-arrays to ensure the shortest possible line connections for the photovoltaic power station. This achieves full automation of the photovoltaic panel design process, including component layout, electrical configuration, and line optimization, thereby improving the resource utilization rate of the photovoltaic power station.

[0112] like Figure 7 The diagram shown is a flowchart illustrating another photovoltaic power plant design apparatus according to an exemplary embodiment, including the following steps: The area determination module 701 is used to obtain the photovoltaic panel string set within the effective area of ​​the photovoltaic power station; The transformer substation planning module 702 is used to determine the electrical capacity constraints corresponding to the photovoltaic power station, and perform load balancing clustering on the photovoltaic panel string set based on the electrical capacity constraints to obtain the transformer subarray corresponding to the photovoltaic power station. The transformer subarray includes: the first photovoltaic panel string subset corresponding to each transformer substation. The equipment optimization module 703 is used to perform load balancing clustering on each first photovoltaic panel string subset with the maximum string capacity of the inverter as a constraint, to obtain the inverter subarray corresponding to the inverter in each transformer substation. The inverter subarray includes: a second photovoltaic panel string subset corresponding to each inverter. The route planning module 704 is used to perform shortest route planning on the transformer subarray and the inverter subarray to obtain the target route design scheme corresponding to the photovoltaic power station.

[0113] In one possible design, the region determination module 701 is specifically used to obtain the target circumscribed rectangle corresponding to the site boundary of the photovoltaic power station, and the string size of the preset photovoltaic panel string corresponding to the photovoltaic power station. Based on the string size and road construction requirements, road planning is performed in the target circumscribed rectangle to obtain the target road topology corresponding to the site boundary. Within the site boundary, the area excluding the target road topology is determined as the effective area. The layout design of the photovoltaic panel string is performed within the effective area to obtain the photovoltaic panel string set within the effective area.

[0114] In one possible design, the region determination module 701 is further configured to determine the rectangular geometric dimensions corresponding to the target circumscribed rectangle, using the road construction requirements, the rectangular geometric dimensions, and the string size of the preset photovoltaic panel array as road planning constraints, inputting the road planning constraints into a preset dynamic boundary planning algorithm, solving for the goal of maximizing land utilization, outputting the road topology structure corresponding to the target circumscribed rectangle, and performing boundary adaptation processing on the road topology structure based on the site boundary to obtain the target road topology structure.

[0115] In one possible design, the region determination module 701 is further configured to determine a dividing line parallel to the boundary of the target road topology, perform region segmentation processing on the effective region based on the dividing line to obtain multiple consecutive sub-blocks corresponding to the effective region, determine the minimum row spacing and minimum column spacing of the photovoltaic panel strings, fill photovoltaic panel strings in each consecutive sub-block based on the minimum row spacing, the minimum column spacing and the string size to obtain the ideal string capacity corresponding to each consecutive sub-block, perform boundary detection on the photovoltaic panel strings with the ideal string capacity in each consecutive sub-block to obtain the actual string capacity corresponding to each consecutive sub-block, and generate the photovoltaic panel string set based on the photovoltaic panel strings corresponding to each actual string capacity.

[0116] In one possible design, the route planning module 704 is specifically used to: determine the first center position corresponding to all first photovoltaic panel strings of each transformer sub-array; determine the transformer installation position corresponding to each transformer sub-array based on the first center position and the adjacent road boundary position; determine the second center position corresponding to all second photovoltaic panel strings of each inverter in the inverter sub-array; determine the second center position as the inverter installation position corresponding to each inverter; determine the string position of each photovoltaic panel string in the photovoltaic panel string set; perform shortest route planning processing based on the string position, the transformer sub-array installation position, and the inverter installation position to obtain the AC line corresponding to the transformer sub-array and the DC line corresponding to the inverter sub-array; and generate the target route design scheme corresponding to the photovoltaic power station based on the AC line and the DC line.

[0117] In one possible design, the line planning module 704 is further configured to generate a line design scheme corresponding to the photovoltaic power station based on the AC line and the DC line, determine the AC electrical quantity corresponding to the AC line and the DC electrical quantity corresponding to the DC line in the line design scheme, and if the AC electrical quantity is lower than the AC electrical quantity threshold and the DC electrical quantity is lower than the DC electrical quantity threshold, then the line design scheme is determined as the target line design scheme.

[0118] In one possible design, the circuit planning module 704 is further configured to readjust the number of electrical devices or the parameters of the electrical devices if the AC electrical quantity is not lower than the AC electrical quantity threshold or the DC electrical quantity is not lower than the DC electrical quantity threshold.

[0119] In one possible design, the line planning module 704 is further configured to determine the AC relative coordinates of each node in the AC line and the DC relative coordinates of each node in the DC line, convert each AC relative coordinate and each DC relative coordinate to the actual measurement coordinate system, obtain the actual AC design coordinates corresponding to each AC relative coordinate and the actual DC design coordinates corresponding to each DC relative coordinate, and generate the target line design scheme corresponding to the photovoltaic power station based on each actual AC design coordinate and each actual DC design coordinate.

[0120] This specification describes an embodiment of a photovoltaic power plant design method that can be applied to computer equipment, such as servers or terminal devices. The device embodiment can be implemented through software, hardware, or a combination of both. Taking software implementation as an example, as a logical device, it is formed by a processor that processes the file, loading the corresponding computer program instructions from non-volatile memory into memory for execution. From a hardware perspective, such as... Figure 8 The diagram shown is a hardware structure diagram of a computer device used in a photovoltaic power station design method according to an embodiment of this specification. Except for... Figure 8 In addition to the processor 810, memory 830, file processing device 831, network interface 820, and non-volatile memory 840 shown, the server or electronic device in which the photovoltaic power station design method is located in the embodiment may also include other hardware depending on the actual function of the computer device, which will not be described in detail here.

[0121] Accordingly, this specification also provides a photovoltaic power plant design device, the device including a processor; a memory for storing processor-executable instructions; wherein the processor is configured to: The area determination module is used to obtain the photovoltaic panel string set within the effective area of ​​the photovoltaic power station; The transformer substation planning module is used to determine the electrical capacity constraints corresponding to the photovoltaic power station, and to perform load balancing clustering on the photovoltaic panel string sets based on the electrical capacity constraints to obtain the transformer subarray corresponding to the photovoltaic power station. The transformer subarray includes: the first photovoltaic panel string subset corresponding to each transformer substation. The equipment optimization module is used to perform load balancing clustering on each first photovoltaic panel string subset with the maximum string capacity of the inverter as a constraint, to obtain the inverter subarray corresponding to the inverter in each transformer substation. The inverter subarray includes: a second photovoltaic panel string subset corresponding to each inverter. The route planning module is used to perform shortest route planning on the transformer subarray and the inverter subarray to obtain the target route design scheme corresponding to the photovoltaic power station.

[0122] The specific implementation process of the functions and roles of each module in the above-mentioned device can be found in the implementation process of the corresponding steps in the above-mentioned photovoltaic power station design method, and will not be repeated here.

[0123] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of the solution in this specification according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0124] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0125] Other embodiments of this specification will readily occur to those skilled in the art upon consideration of the specification and practice of the invention claimed herein. This specification is intended to cover any variations, uses, or adaptations that follow the general principles of this specification and include common knowledge or customary techniques in the art not claimed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this specification are indicated by the following claims.

[0126] It should be understood that this specification is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this specification is limited only by the appended claims.

[0127] The above description is merely a preferred embodiment of this specification and is not intended to limit this specification. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this specification should be included within the scope of protection of this specification.

Claims

1. A photovoltaic power plant design method, characterized in that, include: Obtain the photovoltaic panel string set within the effective area of ​​the photovoltaic power station; The electrical capacity constraints corresponding to the photovoltaic power station are determined. Based on the electrical capacity constraints, load balancing clustering is performed on the photovoltaic panel string sets to obtain the transformer subarray corresponding to the photovoltaic power station. The transformer subarray includes: the first photovoltaic panel string subset corresponding to each transformer. In each first photovoltaic panel string subset, the load balancing clustering is performed on each first photovoltaic panel string subset with the maximum string capacity of the inverter as a constraint, to obtain the inverter subarray corresponding to the inverter in each transformer substation. The inverter subarray includes: the second photovoltaic panel string subset corresponding to each inverter. The shortest path planning process is performed on the transformer subarray and the inverter subarray to obtain the target path design scheme corresponding to the photovoltaic power station.

2. The method according to claim 1, characterized in that, The acquisition of the photovoltaic panel string set within the effective area of ​​the photovoltaic power station includes: Obtain the target bounding rectangle corresponding to the site boundary of the photovoltaic power station, and the string size of the preset photovoltaic panel string corresponding to the photovoltaic power station; Based on the string size and road construction requirements, road planning is performed in the target bounding rectangle to obtain the target road topology structure corresponding to the site boundary. Within the site boundary, the area excluding the target road topology is defined as the effective area; The layout design of photovoltaic panel strings is carried out within the effective area to obtain the photovoltaic panel string set within the effective area.

3. The method according to claim 2, characterized in that, Based on the string size and road construction requirements, road planning is performed within the target circumscribed rectangle to obtain the target road topology corresponding to the site boundary, including: Determine the geometric dimensions of the rectangle corresponding to the target circumscribed rectangle; The road construction requirements, the geometric dimensions of the rectangle, and the string size of the preset photovoltaic panel array are used as road planning constraints. The road planning constraints are input into a preset dynamic boundary planning algorithm to solve the problem with the goal of maximizing land utilization, and the road topology corresponding to the target bounding rectangle is output. Based on the site boundary, the road topology is subjected to boundary adaptation processing to obtain the target road topology.

4. The method according to claim 2, characterized in that, The step of designing the layout of photovoltaic panel strings within the effective area to obtain a set of photovoltaic panel strings within the effective area includes: Determine the dividing line parallel to the boundary of the target road topology; Based on the dividing line, the effective region is segmented to obtain multiple consecutive sub-blocks corresponding to the effective region; Determine the minimum row spacing and minimum column spacing of the photovoltaic panel string, and fill the photovoltaic panel string in each continuous sub-block based on the minimum row spacing, the minimum column spacing and the string size to obtain the ideal string capacity corresponding to each continuous sub-block; Boundary detection is performed on the photovoltaic panel strings with the ideal string capacity in each consecutive sub-block to obtain the actual string capacity corresponding to each consecutive sub-block; The photovoltaic panel string set is generated based on the photovoltaic panel string corresponding to each actual string capacity.

5. The method according to claim 1, characterized in that, The process of performing shortest path planning on the transformer subarray and the inverter subarray to obtain the target path design scheme for the photovoltaic power station includes: In the transformer sub-array, the first center position corresponding to all first photovoltaic panel strings of each transformer is determined, and the transformer installation position corresponding to each transformer is determined based on the first center position and the position of the adjacent road boundary. In the inverter subarray, the second center position corresponding to all the second photovoltaic panel strings of each inverter is determined, and the second center position is determined as the inverter installation position corresponding to each inverter; The string position of each photovoltaic panel string in the photovoltaic panel string set is determined. Based on the string position, the installation position of the transformer substation, and the installation position of the inverter, the shortest path planning process is performed to obtain the AC line corresponding to the transformer subarray and the DC line corresponding to the inverter subarray. Based on the AC line and the DC line, a target line design scheme corresponding to the photovoltaic power station is generated.

6. The method according to claim 5, characterized in that, The step of generating the target line design scheme corresponding to the photovoltaic power station based on the AC line and the DC line includes: Based on the AC line and the DC line, a line design scheme corresponding to the photovoltaic power station is generated; Determine the AC electrical quantities corresponding to the AC lines and the DC electrical quantities corresponding to the DC lines in the circuit design scheme; If the AC electrical quantity is lower than the AC electrical quantity threshold and the DC electrical quantity is lower than the DC electrical quantity threshold, then the circuit design scheme is determined as the target circuit design scheme.

7. The method according to claim 6, characterized in that, After determining the AC electrical quantities corresponding to the AC lines and the DC electrical quantities corresponding to the DC lines in the line design scheme, the method further includes: If the AC electrical quantity is not lower than the AC electrical quantity threshold, or the DC electrical quantity is not lower than the DC electrical quantity threshold, then the quantity of electrical equipment or the parameters of the electrical equipment shall be readjusted.

8. The method according to claim 5, characterized in that, The step of generating the target line design scheme corresponding to the photovoltaic power station based on the AC line and the DC line includes: Determine the AC relative coordinates of each node in the AC line, and determine the DC relative coordinates of each node in the DC line; Transform each AC relative coordinate and each DC relative coordinate to the actual measurement coordinate system to obtain the actual AC design coordinates corresponding to each AC relative coordinate and the actual DC design coordinates corresponding to each DC relative coordinate. Based on each actual AC design coordinate and each actual DC design coordinate, the target line design scheme corresponding to the photovoltaic power station is generated.

9. A photovoltaic power station design device, characterized in that, The device includes: The area determination module is used to obtain the photovoltaic panel string set within the effective area of ​​the photovoltaic power station; The transformer substation planning module is used to determine the electrical capacity constraints corresponding to the photovoltaic power station, and to perform load balancing clustering on the photovoltaic panel string set based on the electrical capacity constraints to obtain the transformer subarray corresponding to the photovoltaic power station. The transformer subarray includes: the first photovoltaic panel string subset corresponding to each transformer substation. The equipment optimization module is used to perform load balancing clustering on each first photovoltaic panel string subset with the maximum string capacity of the inverter as a constraint, to obtain the inverter subarray corresponding to the inverter in each transformer substation. The inverter subarray includes: a second photovoltaic panel string subset corresponding to each inverter. The route planning module is used to perform shortest route planning on the transformer subarray and the inverter subarray to obtain the target route design scheme corresponding to the photovoltaic power station.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein, When the processor executes the program, it implements the following method: Obtain the photovoltaic panel string set within the effective area of ​​the photovoltaic power station; The electrical capacity constraints corresponding to the photovoltaic power station are determined. Based on the electrical capacity constraints, load balancing clustering is performed on the photovoltaic panel string sets to obtain the transformer subarray corresponding to the photovoltaic power station. The transformer subarray includes: the first photovoltaic panel string subset corresponding to each transformer. In each first photovoltaic panel string subset, the load balancing clustering is performed on each first photovoltaic panel string subset with the maximum string capacity of the inverter as a constraint, to obtain the inverter subarray corresponding to the inverter in each transformer substation. The inverter subarray includes: the second photovoltaic panel string subset corresponding to each inverter. The shortest path planning process is performed on the transformer subarray and the inverter subarray to obtain the target path design scheme corresponding to the photovoltaic power station.

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