Methods for determining the structure and electronic equipment of offshore wind power cluster transmission systems

Abstract

This invention discloses a method and electronic equipment for determining the structure of an offshore wind power cluster transmission system. The method includes: acquiring the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of the onshore control center, and regional constraint information; determining candidate coordinates of an offshore substation platform based on the coordinates of the multiple wind turbines and the center coordinates; determining the first transmission cable laying path and the target coordinates of the offshore substation platform based on the candidate coordinates and regional constraint information; determining the second transmission cable laying path based on the center coordinates and the target coordinates; and determining the structure of the offshore wind power cluster transmission system based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates. This invention solves the technical problems of high transmission cable laying costs and high maintenance complexity in offshore wind power cluster transmission systems caused by the failure to comprehensively consider the site selection of the offshore substation platform and the transmission cable laying path in related technologies.

Description

Technical Field

[0001] This invention relates to the field of wind power cluster transmission technology, and more specifically, to a method for determining the structure of an offshore wind power cluster transmission system and an electronic device thereof. Background Technology

[0002] The development of offshore wind power clusters not only helps to fully utilize the abundant wind energy resources at sea, but also has advantages such as high power generation efficiency, land conservation, and environmental friendliness. However, in terms of optimizing the structure of the transmission system for offshore wind power clusters, existing technologies may encounter problems. If the laying path of the transmission cables is not optimized, it will increase the difficulty of cable maintenance and the failure rate. If the location of the offshore substation is not properly selected, the transmission cables will need to be laid over longer distances to connect the various wind turbines and the onshore power grid, thereby increasing the laying cost. Therefore, existing technologies lack a comprehensive consideration of the site selection of the offshore substation and the laying path of the transmission cables, resulting in high cable laying costs and increased operation and maintenance complexity for offshore wind power cluster transmission systems.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This invention provides a method for determining the structure of an offshore wind power cluster transmission system and an electronic device, which at least solves the technical problems in related technologies, such as high transmission cable laying costs and high maintenance complexity of offshore wind power cluster transmission systems due to the failure to comprehensively consider the site selection of offshore booster platforms and the laying path of transmission cables.

[0005] According to one embodiment of the present invention, a method for determining the structure of an offshore wind power cluster transmission system is provided, comprising: acquiring the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of an onshore control center, and regional restriction information; determining candidate coordinates of an offshore substation platform based on the coordinates of the multiple wind turbines and the center coordinates; determining a first transmission cable laying path and target coordinates of the offshore substation platform based on the candidate coordinates and regional restriction information, wherein the first transmission cable laying path represents the transmission cable laying path between the wind power cluster and the offshore substation platform; determining a second transmission cable laying path based on the center coordinates and the target coordinates, wherein the second transmission cable laying path represents the transmission cable laying path between the offshore substation platform and the onshore control center; and determining the structure of the offshore wind power cluster transmission system based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates.

[0006] Optionally, determining the candidate coordinates of the offshore booster platform based on the coordinates of multiple wind turbines and the center coordinates includes: connecting the coordinates of multiple wind turbines to the center coordinates to form multiple test lines; dividing the multiple test lines into multiple equidistant lines; and determining the midpoint of the multiple equidistant lines as the candidate coordinates.

[0007] Optionally, determining the laying path of the first transmission cable and the target coordinates of the offshore booster platform in the offshore wind power cluster transmission system based on candidate coordinates and regional constraint information includes: using an ant colony algorithm to search between candidate coordinates and the coordinates of multiple wind turbines in combination with regional constraint information to obtain candidate transmission cable laying paths; and filtering the candidate transmission cable laying paths to obtain the laying path of the first transmission cable and the target coordinates.

[0008] Optionally, combining regional constraint information and using the ant colony algorithm to search between candidate coordinates and the coordinates of multiple wind turbines to obtain candidate power transmission cable laying paths includes: determining candidate coordinates as food points; determining the coordinates of multiple wind turbines as ant nests; and searching between food points and ant nests based on probability transition rules, regional constraint information, and objective function to obtain candidate power transmission cable laying paths, wherein the objective function is determined based on the length of the power transmission cable laying path.

[0009] Optionally, filtering candidate power transmission cable laying paths to obtain a first power transmission cable laying path and target coordinates includes: obtaining power transmission cable laying cost information corresponding to the candidate power transmission cable laying paths; filtering candidate power transmission cable laying paths based on the power transmission cable laying cost information to obtain a first power transmission cable laying path; and determining the candidate coordinates corresponding to the first power transmission cable laying path as the target coordinates.

[0010] Optionally, the method for determining the structure of the offshore wind power cluster transmission system further includes: determining the search area based on the coordinates of multiple wind turbines and the center coordinates; performing grid processing on the search area to obtain grid point data; and determining the heuristic data in the probability transition rule as the maximum value in response to the determination that there are obstacles on the path between grid points based on the area restriction information.

[0011] Optionally, determining the laying path of the second transmission cable based on the center coordinates and the target coordinates includes: using an ant colony algorithm to search between the target coordinates and the center coordinates in combination with regional constraint information to obtain the laying path of the second transmission cable.

[0012] According to one embodiment of the present invention, a device for determining the structure of an offshore wind power cluster transmission system is also provided, comprising: an acquisition module for acquiring the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of an onshore control center, and regional restriction information; a first determination module for determining candidate coordinates of an offshore substation platform based on the coordinates of the multiple wind turbines and the center coordinates; a second determination module for determining a first transmission cable laying path and the target coordinates of the offshore substation platform based on the candidate coordinates and the regional restriction information, wherein the first transmission cable laying path represents the transmission cable laying path between the wind power cluster and the offshore substation platform; a third determination module for determining a second transmission cable laying path based on the center coordinates and the target coordinates, wherein the second transmission cable laying path represents the transmission cable laying path between the offshore substation platform and the onshore control center; and a fourth determination module for determining the structure of the offshore wind power cluster transmission system based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates.

[0013] Optionally, the first determining module is further configured to: connect the coordinates of multiple wind turbines to the center coordinates respectively to form multiple test lines; divide the multiple test lines into multiple equidistant lines to obtain multiple equidistant lines; and determine the midpoint of the multiple equidistant lines as the candidate coordinates.

[0014] Optionally, the second determining module is further configured to: combine regional constraint information and use an ant colony algorithm to search between candidate coordinates and the coordinates of multiple wind turbines to obtain candidate power transmission cable laying paths; filter the candidate power transmission cable laying paths to obtain the first power transmission cable laying path and target coordinates.

[0015] Optionally, the second determining module is further configured to: determine the candidate coordinates as food points; determine the coordinates of multiple wind turbines as ant nests; and search between food points and ant nests based on probability transition rules, regional restriction information, and objective function to obtain candidate power transmission cable laying paths, wherein the objective function is determined based on the length of the power transmission cable laying path.

[0016] Optionally, the second determining module is further configured to: obtain the transmission cable laying cost information corresponding to the candidate transmission cable laying path; filter the candidate transmission cable laying paths based on the transmission cable laying cost information to obtain the first transmission cable laying path; and determine the candidate coordinates corresponding to the first transmission cable laying path as the target coordinates.

[0017] Optionally, the device for determining the structure of the offshore wind power cluster transmission system further includes a processing module for determining the search area based on the coordinates of multiple wind turbines and the center coordinates; performing gridding processing on the search area to obtain grid point data; and determining the heuristic data in the probability transition rule as the maximum value in response to the determination that there are obstacles on the path between grid points based on the area restriction information.

[0018] Optionally, the third determining module is also used to: combine regional constraint information and use the ant colony algorithm to search between the target coordinates and the center coordinates to obtain the second power transmission cable laying path.

[0019] According to one embodiment of the present invention, an electronic device is also provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the above-described method for determining the structure of an offshore wind power cluster transmission system.

[0020] According to one embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the storage medium is located to execute the above-described method for determining the structure of an offshore wind power cluster transmission system.

[0021] According to one embodiment of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the above-described method for determining the structure of an offshore wind power cluster transmission system.

[0022] In this embodiment of the invention, the coordinates of multiple wind turbines in an offshore wind power cluster, the center coordinates of the onshore control center, and regional restriction information are obtained. Based on the coordinates of multiple wind turbines and the center coordinates, candidate coordinates of the offshore booster platform are determined. Based on the candidate coordinates and regional restriction information, the first transmission cable laying path and the target coordinates of the offshore booster platform are determined. Based on the center coordinates and the target coordinates, the second transmission cable laying path is determined. Based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates, the structure of the offshore wind power cluster transmission system is determined. By comprehensively considering the site selection of the offshore booster platform and the laying path of the transmission cable, the purpose of optimizing the site selection of the offshore booster platform and the laying path of the transmission cable is achieved. This realizes the technical effect of comprehensively considering the geographical environment of the offshore wind farm and the site selection of the offshore booster platform to reduce the cable laying cost and operation and maintenance complexity of the offshore wind power cluster transmission system. In turn, it solves the technical problem in related technologies that the high cable laying cost and high operation and maintenance complexity of the offshore wind power cluster transmission system are caused by not comprehensively considering the site selection of the offshore booster platform and the cable laying path. Attached Figure Description

[0023] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0024] Figure 1 This is a hardware structure block diagram of a method for determining the structure of an offshore wind power cluster transmission system according to one embodiment of the present invention;

[0025] Figure 2 This is a flowchart of a method for determining the structure of an offshore wind power cluster transmission system according to one embodiment of the present invention;

[0026] Figure 3 This is a schematic diagram of a method for determining the structure of an offshore wind power cluster transmission system according to one embodiment of the present invention;

[0027] Figure 4 This is a flowchart of a method for determining the structure of an offshore wind power cluster transmission system according to one embodiment of the present invention;

[0028] Figure 5 This is a structural block diagram of a device for determining the structure of an offshore wind power cluster transmission system according to one embodiment of the present invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0031] The power distribution line fault handling method embodiments provided in this application can be executed on mobile terminals, computer terminals or similar computing devices. Figure 1 This is a hardware structure block diagram of a method for determining the structure of an offshore wind power cluster transmission system according to one embodiment of the present invention. Figure 1As shown, the computer terminal 10 (or electronic device 10) may include one or more processors (shown as 102a, 102b, ..., 102n in the figure) (the processor may include, but is not limited to, a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission module 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, a power supply, and / or a camera. Those skilled in the art will understand that... Figure 1 The structure shown is for illustrative purposes only and does not limit the structure of the aforementioned electronic device. For example, computer terminal 10 may also include... Figure 1 The more or fewer components shown, or having the same Figure 1 The different configurations shown.

[0032] It should be noted that the aforementioned one or more processors and / or other data processing circuits are generally referred to herein as "data processing circuits". These data processing circuits may be wholly or partially embodied in software, hardware, firmware, or any other combination thereof. Furthermore, the data processing circuit may be a single, independent processing module, or may be wholly or partially integrated into any other element within the computer terminal 10 (or electronic device). As involved in the embodiments of this application, the data processing circuit serves as a processor control mechanism (e.g., selection of a variable resistor termination path connected to an interface).

[0033] The memory 104 can be used to store software programs and modules for application software, such as the program instructions / data storage device corresponding to the method for determining the structure of an offshore wind power cluster transmission system in this embodiment. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, thereby realizing the aforementioned method for determining the structure of an offshore wind power cluster transmission system. The memory 104 may include high-speed random access memory and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include memory remotely located relative to the processor, and these remote memories can be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0034] The transmission module 106 is used to receive or send data via a network. Specific examples of the network described above may include a wireless network provided by the communication provider of the computer terminal 10. In one example, the transmission module 106 includes a Network Interface Controller (NIC), which can connect to other network devices via a base station to communicate with the Internet. In another example, the transmission module 106 may be a Radio Frequency (RF) module, used for wireless communication with the Internet.

[0035] The display may be, for example, a touchscreen liquid crystal display (LCD) that allows the user to interact with the user page of the computer terminal 10 (or electronic device).

[0036] It should be noted here that, in some optional embodiments, the above... Figure 1 The computer device (or electronic device) shown may include hardware elements (including circuitry), software elements (including computer code stored on a computer-readable medium), or a combination of both hardware and software elements. It should be noted that... Figure 1 This is only one instance of a particular specific instance, and is intended to illustrate the types of components that may exist in the aforementioned computer equipment (or electronic equipment).

[0037] According to an embodiment of the present invention, a method embodiment for determining the structure of an offshore wind power cluster transmission system is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0038] Figure 2 This is a flowchart of a method for determining the structure of an offshore wind power cluster transmission system according to one embodiment of the present invention, such as... Figure 2 As shown, the method includes the following steps:

[0039] Step S20: Obtain the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of the onshore control center, and regional restriction information;

[0040] In step S20, the coordinates of the aforementioned multiple wind turbines are used to characterize the precise geographical location coordinates of the wind turbines. For example, high-precision Global Positioning System (GPS) or Geographic Information System (GIS) technology is used to determine the precise location of each wind turbine. These technologies can provide latitude and longitude coordinates, and even altitude information, ensuring the accuracy of the wind turbine location.

[0041] The center coordinates of the aforementioned onshore control center are used to characterize the center coordinates of the onshore control center closest to the offshore wind power cluster, expressed in latitude and longitude.

[0042] The aforementioned regional constraints are used to characterize the geographical and environmental constraints of offshore wind power cluster transmission systems to ensure that the design and construction of transmission cables comply with safety, environmental protection, and technical standards. These regional constraints include, but are not limited to: seabed topography and water depth, environmentally sensitive areas, and ecologically sensitive zones.

[0043] Step S22: Based on the coordinates of multiple wind turbines and the center coordinates, determine the candidate coordinates of the offshore booster platform;

[0044] Step S24: Determine the first transmission cable laying path and the target coordinates of the offshore substation based on candidate coordinates and regional restriction information. The first transmission cable laying path is used to represent the transmission cable laying path between the wind power cluster and the offshore substation.

[0045] Specifically, combining regional constraint information, the Ant Colony Optimization (ACO) algorithm is used to search between candidate coordinates and the coordinates of multiple wind turbines to obtain candidate transmission cable laying paths corresponding to each candidate coordinate. Multiple candidate transmission cable laying paths are then filtered to determine the first transmission cable laying path, and the candidate coordinates corresponding to the first transmission cable laying path are designated as the target coordinates of the offshore booster platform. Simultaneously, based on the first transmission cable laying path, the laying paths for low-voltage cables and low-voltage combined cables are determined, as well as the shortest paths from other wind turbines to the low-voltage combined cables.

[0046] Step S26: Determine the second power transmission cable laying path based on the center coordinates and the target coordinates, wherein the second power transmission cable laying path is used to represent the power transmission cable laying path between the offshore booster platform and the onshore control center;

[0047] Specifically, by combining regional constraint information, the ACO algorithm is used to search between the center coordinates and the target coordinates of the land-based control center to obtain the shortest path between the center coordinates and the target coordinates, and this shortest path is determined as the laying path of the second power transmission cable.

[0048] Step S28: Determine the structure of the offshore wind power cluster transmission system based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates.

[0049] Specifically, the laying paths for low-voltage cables and low-voltage combined cables between the offshore substation and the offshore wind power cluster are determined based on the first transmission cable laying path. The laying path for transmission cables between the onshore control center and the offshore substation is determined based on the second transmission cable laying path. The overall structure of the offshore wind power cluster transmission system is thus determined.

[0050] Based on steps S20 to S28 above, the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of the onshore control center, and regional restriction information are obtained. Based on the coordinates of the multiple wind turbines and the center coordinates, candidate coordinates of the offshore booster platform are determined. Based on the candidate coordinates and regional restriction information, the laying path of the first transmission cable and the target coordinates of the offshore booster platform are determined. Based on the center coordinates and the target coordinates, the laying path of the second transmission cable is determined. Based on the laying paths of the first and second transmission cables and the target coordinates, the offshore wind power cluster transmission system is determined. The proposed structure, by comprehensively considering the site selection of offshore substations and the laying path of transmission cables, achieves the goal of optimizing both. This enables the reduction of cable laying costs and operation and maintenance complexity in offshore wind power cluster transmission systems by comprehensively considering the geographical environment of offshore wind farms and the site selection of offshore substations. Furthermore, it solves the technical problems of high cable laying costs and high operation and maintenance complexity in offshore wind power cluster transmission systems caused by the failure to comprehensively consider the site selection of offshore substations and the laying path of transmission cables in related technologies.

[0051] Optionally, in step S22, determining the candidate coordinates of the offshore booster platform based on the coordinates of multiple wind turbines and the center coordinates includes:

[0052] Step S221: Connect the coordinates of multiple wind turbines to the center coordinates to form multiple test straight lines;

[0053] Step S222: Divide the multiple test lines into equal intervals to obtain multiple equidistant lines;

[0054] Step S223: Determine the midpoints of multiple equidistant lines as candidate coordinates.

[0055] Specifically, Figure 3 This is a schematic diagram of a method for determining the structure of an offshore wind power cluster transmission system according to one embodiment of the present invention, as shown below. Figure 3As shown: hollow circles represent the coordinates of multiple wind turbines, and solid circles represent the center coordinates of the onshore control center. The wind turbines include: turbine 1, turbine 2, turbine 3, and turbine 4. Candidate coordinates include: candidate coordinate A, candidate coordinate B, ..., candidate coordinate G. First, the coordinates of each wind turbine are connected to the center coordinates of the control center, forming multiple test lines. Then, each test line is divided into equidistant sections, and the same equidistant points on each test line are connected to obtain multiple equidistant lines. Next, the midpoints of these equidistant lines are used as candidate coordinates for the offshore substation, where the lines connecting the midpoints are detection segments. Selecting the midpoints as candidate coordinates during the equidistant sectioning process helps reduce the differences in power transmission paths from multiple wind turbines to the offshore substation, thereby improving the balance of power transmission and optimizing the efficiency and stability of power delivery.

[0056] Based on the above steps S221 to S223, the coordinates of multiple wind turbines are connected to the center coordinates to form multiple test lines; the multiple test lines are divided into multiple equidistant lines; the midpoint of the multiple equidistant lines is determined as the candidate coordinates. This ensures that the location selection of the offshore booster platform can fully consider the distribution of each wind turbine, and avoid placing the offshore booster platform in a too remote or unreasonable location, thus optimizing the spatial layout of the offshore booster platform.

[0057] Optionally, in step S24, determining the laying path of the first transmission cable in the offshore wind power cluster transmission system and the target coordinates of the offshore booster platform based on candidate coordinates and regional constraint information includes:

[0058] Step S241: Combining the regional constraint information, the ant colony algorithm is used to search between the candidate coordinates and the coordinates of multiple wind turbines to obtain the candidate power transmission cable laying path.

[0059] In step S241, the ant colony algorithm described above is a heuristic algorithm that simulates the foraging behavior of ants in nature and is used to solve path optimization problems.

[0060] Specifically, the map between the wind turbine coordinates and candidate coordinates is gridded. Each edge in the gridded map represents a possible power transmission cable laying path, and each edge has associated pheromone concentration and heuristic data. Ants are simulated searching the graph; the probability of an ant choosing a path depends on the pheromone concentration and heuristic data, where the heuristic data is determined based on regional constraints. After multiple iterations, the ACO algorithm gradually finds a better path from the wind turbine to the offshore booster platform. After each iteration, the pheromone concentration on the path is updated based on the quality of the path found by the ants, providing feedback for subsequent iterations. The ACO algorithm obtains the better candidate power transmission cable laying paths corresponding to each candidate coordinate. Figure 3As shown in the figure, the optimal candidate power transmission cable laying path between candidate coordinates A, candidate coordinates B, ..., candidate coordinates G and the wind turbine coordinates is obtained based on the ACO algorithm.

[0061] Step S242: Filter the candidate power transmission cable laying paths to obtain the first power transmission cable laying path and target coordinates.

[0062] Specifically, multiple candidate power transmission cable laying paths are screened based on the laying cost of the power transmission cable. The candidate power transmission cable laying path with the lowest laying cost is selected as the first power transmission cable laying path, and the candidate coordinates corresponding to the candidate power transmission cable laying path are determined as the target coordinates, that is, the location of the offshore booster platform.

[0063] Based on steps S241 to S242 above, the ant colony algorithm is used to search between candidate coordinates and the coordinates of multiple wind turbines, combined with regional constraint information, to obtain candidate transmission cable laying paths. The candidate transmission cable laying paths are then filtered to obtain the first transmission cable laying path and target coordinates. By filtering the candidate transmission cable laying paths, the path with the lowest cost is selected as the first transmission cable laying path, which can maximize resource saving and reduce construction costs while ensuring power transmission effect.

[0064] Optionally, in step S241, combining the area constraint information, the ant colony algorithm is used to search between the candidate coordinates and the coordinates of multiple wind turbines to obtain the candidate power transmission cable laying paths, including:

[0065] Step S301: Determine the candidate coordinates as food points;

[0066] Step S302: Determine the coordinates of multiple wind turbines as an anthill;

[0067] Specifically, the candidate locations of the offshore booster platform are set as "food points," and the coordinates of multiple wind turbines are set as "ant nests." The goal of the ants is to find the optimal path from the food point to each ant nest.

[0068] Step S303: Based on probability transition rules, regional restriction information and objective function, a search is performed between food points and ant nests to obtain candidate power transmission cable laying paths, wherein the objective function is determined based on the length of the power transmission cable laying path.

[0069] In step S303, the objective function described above is used to characterize the shortest path from the food point to the ant nest.

[0070] The specific calculation process of the above probability transition rule is shown in expressions (1)-(2).

[0071]

[0072] in, m represents the number of ants; ρ represents the pheromone evaporation rate; α represents the pheromone importance factor; β represents the heuristic data importance factor; τ ij The pheromone intensity between grid points i and j is represented and initialized to a constant; η ij Heuristic data representing the distance between two grid points i and j is typically inversely proportional to the distance; S∈A k L represents the set of grid points that ant k can reach from its current position (excluding obstacles); k Let Q represent the length of the path traveled by ant k; Q is a constant.

[0073] Furthermore, the search area is divided into a series of smaller, regularly spaced grids, with the center point of each grid called a grid point. Heuristic data η ij Reflecting the attractiveness of the path, it represents the distance between two grid points, where the shorter the distance, the greater η. ij The smaller the value, the more attractive the path is to the ants. However, when the path between two points is determined to be obstructed based on area constraints, the heuristic data is set to a maximum value (e.g., infinity) to indicate that the path is unselectable for the ants, thus ensuring that the ants will not choose this path and guiding them to find other feasible paths.

[0074] For example, such as Figure 3 As shown, there are 7 candidate locations of offshore booster platforms (food points) A, B, C, D, E, F, and G, and 4 wind turbines (ant colonies): 1, 2, 3, and 4. Each wind turbine has potential paths to each candidate location. Ants start from candidate locations and search for the shortest paths to each wind turbine. Each ant moves according to a probability transition rule that considers pheromone concentration and heuristic data. Assuming an ant starts from A, it calculates the paths to wind turbines 1, 2, 3, and 4, and chooses its next direction of movement based on the pheromone concentration along the path and heuristic data. After completing a path search from a candidate location to a wind turbine, the ant updates the pheromone concentration along the path based on its length. Shorter paths result in a greater increase in pheromone concentration, making it more likely that other ants will choose this path in the next search. This process is repeated multiple times until a termination condition is met, such as reaching a predetermined number of iterations or the path length no longer significantly decreasing. After each iteration, the ant colony updates the pheromone concentration, gradually finding the optimal set of paths from candidate locations to wind turbines.

[0075] Based on steps S301 to S303 above, candidate coordinates are determined as food points; the coordinates of multiple wind turbines are determined as ant nests; a search is performed between food points and ant nests based on probability transition rules, regional restriction information, and objective function to obtain candidate power transmission cable laying paths. The objective function is determined based on the length of the power transmission cable laying path. The ant colony algorithm can automatically complete the path selection process by simulating the behavior of nature, reducing human intervention and improving the efficiency and intelligence level of path selection.

[0076] Optionally, in step S242, the candidate power transmission cable laying paths are filtered to obtain the first power transmission cable laying path and target coordinates, including:

[0077] Step S401: Obtain the transmission cable laying cost information corresponding to the candidate transmission cable laying path;

[0078] Specifically, the intersection points between each pair of candidate power transmission cable laying paths are obtained. Several candidate power transmission cable laying paths containing the most intersection points are identified. The candidate coordinates are then sequentially connected to each intersection point to obtain a power transmission cable laying path. This path is designated as the laying path for the low-voltage combined current cable. The path between the last intersection point (the intersection point furthest from the candidate coordinates) and the wind turbine is designated as the low-voltage cable laying path. Based on the above power transmission cable laying method, the laying cost of the several candidate power transmission cable laying paths containing the most intersection points is calculated.

[0079] Furthermore, when there are no intersections between candidate power transmission cable laying paths, the path between the selected coordinate and the midpoint of the candidate power transmission cable laying path is taken as the laying path of the low-voltage combined cable, and the path between the midpoint and the wind turbine is taken as the laying path of the low-voltage cable.

[0080] Step S402: Based on the power transmission cable laying cost information, the candidate power transmission cable laying paths are screened to obtain the first power transmission cable laying path;

[0081] Step S403: Determine the candidate coordinates corresponding to the first power transmission cable laying path as the target coordinates.

[0082] Specifically, the laying costs of several candidate power transmission cable laying paths containing the most intersections are obtained. Based on the laying costs of the power transmission cables, multiple candidate power transmission cable laying paths are screened, and the candidate power transmission cable laying path with the lowest laying cost is selected as the first power transmission cable laying path. The candidate coordinates corresponding to this candidate power transmission cable laying path are determined as the target coordinates, that is, the location of the offshore booster platform.

[0083] Furthermore, based on the laying path of the first transmission cable, the laying paths of the low-voltage cable and the low-voltage combined cable are planned, while the shortest path for the remaining wind turbines to reach the low-voltage combined cable after avoiding obstacles is found. The determination of this shortest path can be based on algorithms such as ACO, A*, and random search tree.

[0084] Instance-wise, such as Figure 3 As shown, the laying path of the first power transmission cable is determined to be the power transmission cable laying path between candidate coordinate A and wind turbine 2. Then, the laying paths of low-voltage cable and low-voltage combined cable are planned on the laying path of the power transmission cable. Based on this, the shortest path to the low-voltage combined cable is found for the remaining wind turbines after avoiding obstacles.

[0085] Based on steps S401 to S403 above, the transmission cable laying cost information corresponding to the candidate transmission cable laying paths is obtained; the candidate transmission cable laying paths are screened based on the transmission cable laying cost information to obtain the first transmission cable laying path; the candidate coordinates corresponding to the first transmission cable laying path are determined as the target coordinates. By comprehensively considering the location of the offshore booster platform and the transmission cable laying path, the purpose of optimizing the location of the offshore booster platform and the transmission cable laying path is achieved. This realizes the technical effect of comprehensively considering the geographical environment of the offshore wind farm and the location of the offshore booster platform to reduce the cable laying cost and operation and maintenance complexity of the offshore wind power cluster transmission system. In turn, it solves the technical problem in related technologies that the high transmission cable laying cost and high operation and maintenance complexity of the offshore wind power cluster transmission system are caused by not comprehensively considering the location of the offshore booster platform and the transmission cable laying path.

[0086] Optionally, the method for determining the structure of the offshore wind power cluster transmission system also includes:

[0087] Step S291: Determine the search area based on the coordinates of multiple wind turbines and the center coordinates;

[0088] In step S291, the search area is determined based on the coordinates of all wind turbines in the offshore wind power cluster and the center coordinates of the onshore control center, covering the potential connection area between all wind turbines and the control center.

[0089] Step S292: The search area is gridded to obtain grid point data;

[0090] Specifically, the search area is divided into a series of smaller, regularly spaced grids, with the center point of each grid called a grid point. Gridding transforms a continuous spatial problem into a discrete network of nodes, facilitating computation and optimization. The coordinate information of each grid point, i.e., grid point data, is recorded and will be used in subsequent path search and optimization processes.

[0091] Step S293: In response to determining that there are obstacles on the path between grid points based on the regional constraint information, the heuristic data in the probability transition rule is determined as a maximum value.

[0092] Specifically, when obstacles are identified in the path between grid points based on regional constraint information, the path is deemed infeasible. Therefore, the heuristic data ηij in the probability transition rule is set to a maximum value. For example, in a real-world offshore wind farm environment, there may be various natural or man-made obstacles, such as marine protected areas, other seabed facilities, and seabed topographic variations, all of which can restrict cable laying paths. If the path between two grid points is affected by obstacles, then this path is considered infeasible.

[0093] Based on steps S291 to S293 above, the search area is determined based on the coordinates of multiple wind turbines and the center coordinates; the search area is gridded to obtain grid point data; in response to the determination that there are obstacles on the path between grid points based on the area restriction information, the heuristic data in the probability transfer rule is determined as the maximum value, which effectively improves the path planning efficiency, feasibility and safety of the offshore wind power cluster transmission system, and can achieve efficient and reliable transmission path optimization in complex environments.

[0094] Optionally, in step S26, determining the laying path of the second transmission cable based on the center coordinates and the target coordinates includes:

[0095] Step S261: Combining the regional constraint information, the ant colony algorithm is used to search between the target coordinates and the center coordinates to obtain the second power transmission cable laying path.

[0096] Specifically, before performing path search, it is necessary to consider the actual regional constraints of the offshore wind power cluster transmission system and its surrounding area. These constraints include, but are not limited to, seabed topography, marine protected areas, and other seabed facilities (such as oil and gas pipelines and other cables). Based on these regional constraints, it can be determined which paths are feasible and which are infeasible due to obstacles or limitations. Infeasible paths are marked in the ACO algorithm to prevent them from being selected by ants during the search process.

[0097] Specifically, the ACO algorithm is used to "move" between the target coordinates (the selected location of the offshore booster platform) and the center coordinates (the location of the onshore control center) to find the lowest-cost path. During the search, the ants determine their direction of movement based on the pheromone concentration and heuristic information (cost) along the path. Paths with higher pheromone concentrations are more likely to be selected. After multiple rounds of searching and pheromone updates, the ACO algorithm gradually converges to the optimal path from the target coordinates to the center coordinates, which is the path for laying the second power transmission cable.

[0098] For example, the optimal location of the offshore booster platform has been determined through the previous steps. Next, the optimal high-voltage cable path from this location to the onshore control center needs to be determined. First, a detailed grid map is created based on the seabed topography of the area and the defined obstacle zones, with each grid point representing a small segment of the seabed. Then, the ACO algorithm sends "ants" starting from the target coordinates of the offshore booster platform to attempt to find a path to the onshore control center. During the search, the "ants" choose their next direction of movement based on pheromones along the path (representing the frequency of traversing that path in previous searches) and heuristic information (cost). If a path is marked as restricted or contains obstacles, the "ants" will avoid choosing that path. After multiple iterations and pheromone updates, the algorithm converges to an optimal path, namely the second transmission cable laying path. This path will guide the actual laying of the high-voltage cable, achieving an efficient connection from the offshore booster platform to the onshore control center.

[0099] Based on step S261 above, and combining regional constraint information, the ant colony algorithm is used to search between the target coordinates and the center coordinates to obtain the second transmission cable laying path. By optimizing the transmission path from the offshore booster platform to the onshore control center, the overall efficiency of the wind farm can be significantly improved. A shorter and lower-cost transmission path can reduce energy loss and improve power transmission efficiency, thereby optimizing the operational efficiency of the entire offshore wind power cluster.

[0100] Figure 4 This is a flowchart illustrating a method for determining the structure of an offshore wind power cluster transmission system according to one embodiment of the present invention, such as... Figure 4 As shown, the method includes the following steps:

[0101] Step S401: Obtain the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of the onshore control center, and regional restriction information;

[0102] Step S402: Connect the coordinates of multiple wind turbines to the center coordinates to form multiple test lines;

[0103] Step S403: Divide the multiple test lines into equal intervals to obtain multiple equidistant lines;

[0104] Step S404: Determine the midpoints of multiple equidistant lines as candidate coordinates;

[0105] Step S405: Determine the candidate coordinates as food points;

[0106] Step S406: Determine the coordinates of multiple wind turbines as an anthill;

[0107] Step S407: Based on probability transition rules, regional restriction information and objective function, a search is performed between food points and ant nests to obtain candidate power transmission cable laying paths;

[0108] Step S408: Obtain the transmission cable laying cost information corresponding to the candidate transmission cable laying path;

[0109] Step S409: Based on the power transmission cable laying cost information, the candidate power transmission cable laying paths are screened to obtain the first power transmission cable laying path;

[0110] Step S410: Determine the candidate coordinates corresponding to the first power transmission cable laying path as the target coordinates;

[0111] Step S411: Combining the area restriction information, the ant colony algorithm is used to search between the target coordinates and the center coordinates to obtain the second power transmission cable laying path.

[0112] Step S412: Determine the structure of the offshore wind power cluster transmission system based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates.

[0113] Based on steps S401 to S412 above, the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of the onshore control center, and regional restriction information are obtained. Based on the coordinates of the multiple wind turbines and the center coordinates, candidate coordinates of the offshore booster platform are determined. Based on the candidate coordinates and regional restriction information, the first transmission cable laying path and the target coordinates of the offshore booster platform are determined. Based on the center coordinates and the target coordinates, the second transmission cable laying path is determined. Based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates, the transmission system of the offshore wind power cluster is determined. This system architecture, by comprehensively considering the site selection of offshore substations and the laying path of transmission cables, achieves the goal of optimizing the site selection of offshore substations and the laying path of transmission cables. This realizes the technical effect of reducing the laying cost and operation and maintenance complexity of offshore wind power cluster transmission systems by comprehensively considering the geographical environment of offshore wind farms and the site selection of offshore substations. In turn, it solves the technical problems of high laying cost and high operation and maintenance complexity of offshore wind power cluster transmission systems caused by the failure to comprehensively consider the site selection of offshore substations and the laying path of transmission cables.

[0114] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of the present invention.

[0115] This invention also provides a device for determining the structure of an offshore wind power cluster transmission system. This device is used to implement the above embodiments and preferred embodiments, and details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that performs a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0116] Figure 5 This is a structural block diagram of a device for determining the structure of an offshore wind power cluster transmission system according to one embodiment of the present invention, such as... Figure 5 As shown, the device includes:

[0117] The acquisition module 501 is used to acquire the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of the onshore control center, and regional restriction information.

[0118] The first determining module 502 is used to determine the candidate coordinates of the offshore booster platform based on the coordinates of multiple wind turbines and the center coordinates.

[0119] The second determining module 503 is used to determine the first transmission cable laying path and the target coordinates of the offshore substation based on candidate coordinates and regional restriction information. The first transmission cable laying path is used to represent the transmission cable laying path between the wind power cluster and the offshore substation.

[0120] The third determining module 504 is used to determine the second power transmission cable laying path based on the center coordinates and the target coordinates, wherein the second power transmission cable laying path is used to represent the power transmission cable laying path between the offshore booster platform and the onshore control center;

[0121] The fourth determining module 505 is used to determine the structure of the offshore wind power cluster transmission system based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates.

[0122] Optionally, the first determining module 502 is further configured to: connect the coordinates of multiple wind turbines to the center coordinates respectively to form multiple test lines; divide the multiple test lines into multiple equidistant lines to obtain multiple equidistant lines; and determine the midpoint of the multiple equidistant lines as the candidate coordinates.

[0123] Optionally, the second determining module 503 is further configured to: combine regional constraint information and use an ant colony algorithm to search between candidate coordinates and the coordinates of multiple wind turbines to obtain candidate power transmission cable laying paths; filter the candidate power transmission cable laying paths to obtain the first power transmission cable laying path and target coordinates.

[0124] Optionally, the second determining module 503 is further configured to: determine the candidate coordinates as food points; determine the coordinates of multiple wind turbines as ant nests; and search between food points and ant nests based on probability transition rules, regional restriction information, and objective function to obtain candidate power transmission cable laying paths, wherein the objective function is determined based on the length of the power transmission cable laying path.

[0125] Optionally, the second determining module 5503 is further configured to: obtain the transmission cable laying cost information corresponding to the candidate transmission cable laying path; filter the candidate transmission cable laying paths based on the transmission cable laying cost information to obtain the first transmission cable laying path; and determine the candidate coordinates corresponding to the first transmission cable laying path as the target coordinates.

[0126] Optionally, the device for determining the structure of the offshore wind power cluster transmission system further includes a processing module 506, which is used to determine the search area based on the coordinates of multiple wind turbines and the center coordinates; to perform gridding processing on the search area to obtain grid point data; and to determine the existence of obstacles in the path between grid points based on the area restriction information, to determine the heuristic data in the probability transition rule as the maximum value.

[0127] Optionally, the third determining module 504 is also used to: combine the regional constraint information and use the ant colony algorithm to search between the target coordinates and the center coordinates to obtain the second power transmission cable laying path.

[0128] It should be noted that the above modules can be implemented by software or hardware. For the latter, they can be implemented in the following ways, but are not limited to: all the above modules are located in the same processor; or, the above modules are located in different processors in any combination.

[0129] According to one embodiment of the present invention, an electronic device is also provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the above-described method for determining the structure of an offshore wind power cluster transmission system.

[0130] Optionally, in this embodiment, the processor can be configured to perform the following steps via a computer program:

[0131] Step S1: Obtain the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of the onshore control center, and regional restriction information;

[0132] Step S2: Based on the coordinates of multiple wind turbines and the center coordinates, determine the candidate coordinates of the offshore booster platform;

[0133] Step S3: Determine the first transmission cable laying path and the target coordinates of the offshore substation based on candidate coordinates and regional restriction information. The first transmission cable laying path is used to represent the transmission cable laying path between the wind power cluster and the offshore substation.

[0134] Step S4: Determine the second power transmission cable laying path based on the center coordinates and the target coordinates, wherein the second power transmission cable laying path is used to represent the power transmission cable laying path between the offshore booster platform and the onshore control center;

[0135] Step S5: Determine the structure of the offshore wind power cluster transmission system based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates.

[0136] According to one embodiment of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the storage medium is located to execute the above-described method for determining the structure of an offshore wind power cluster transmission system.

[0137] Optionally, in this embodiment, the storage medium may be configured to store a computer program for performing the following steps:

[0138] Step S1: Obtain the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of the onshore control center, and regional restriction information;

[0139] Step S2: Based on the coordinates of multiple wind turbines and the center coordinates, determine the candidate coordinates of the offshore booster platform;

[0140] Step S3: Determine the first transmission cable laying path and the target coordinates of the offshore substation based on candidate coordinates and regional restriction information. The first transmission cable laying path is used to represent the transmission cable laying path between the wind power cluster and the offshore substation.

[0141] Step S4: Determine the second power transmission cable laying path based on the center coordinates and the target coordinates, wherein the second power transmission cable laying path is used to represent the power transmission cable laying path between the offshore booster platform and the onshore control center;

[0142] Step S5: Determine the structure of the offshore wind power cluster transmission system based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates.

[0143] Optionally, in this embodiment, the storage medium may include, but is not limited to, various media capable of storing computer programs, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0144] According to one embodiment of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the above-described method for determining the structure of an offshore wind power cluster transmission system.

[0145] Optionally, in this embodiment, the computer program product described above may be configured to store computer program instructions for performing the following steps:

[0146] Step S1: Obtain the coordinates of multiple wind turbines in the offshore wind power cluster, the center coordinates of the onshore control center, and regional restriction information;

[0147] Step S2: Based on the coordinates of multiple wind turbines and the center coordinates, determine the candidate coordinates of the offshore booster platform;

[0148] Step S3: Determine the first transmission cable laying path and the target coordinates of the offshore substation based on candidate coordinates and regional restriction information. The first transmission cable laying path is used to represent the transmission cable laying path between the wind power cluster and the offshore substation.

[0149] Step S4: Determine the second power transmission cable laying path based on the center coordinates and the target coordinates, wherein the second power transmission cable laying path is used to represent the power transmission cable laying path between the offshore booster platform and the onshore control center;

[0150] Step S5: Determine the structure of the offshore wind power cluster transmission system based on the first transmission cable laying path, the second transmission cable laying path, and the target coordinates.

[0151] Optionally, specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementations, and will not be repeated here.

[0152] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0153] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0154] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0155] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0156] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0157] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0158] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining the structure of an offshore wind power cluster transmission system, characterized in that, include: Obtain the coordinates of multiple wind turbines in an offshore wind power cluster, the center coordinates of the onshore control center, and regional restriction information; Based on the coordinates of the multiple wind turbines and the center coordinates, candidate coordinates for the offshore booster platform are determined; Based on the candidate coordinates and the regional restriction information, the first power transmission cable laying path and the target coordinates of the offshore substation are determined, wherein the first power transmission cable laying path is used to represent the power transmission cable laying path between the wind power cluster and the offshore substation. The second power transmission cable laying path is determined based on the center coordinates and the target coordinates, wherein the second power transmission cable laying path is used to represent the power transmission cable laying path between the offshore booster platform and the onshore control center; The structure of the offshore wind power cluster power transmission system is determined based on the first power transmission cable laying path, the second power transmission cable laying path, and the target coordinates; The process of determining candidate coordinates for the offshore booster platform based on the coordinates of the multiple wind turbines and the center coordinates includes: connecting the coordinates of the multiple wind turbines to the center coordinates to form multiple test lines; dividing the multiple test lines into multiple equidistant lines; and determining the midpoint of the multiple equidistant lines as the candidate coordinates. Determining the laying path of the first transmission cable in the offshore wind power cluster transmission system and the target coordinates of the offshore booster platform based on the candidate coordinates and the regional restriction information includes: using an ant colony algorithm to search between the candidate coordinates and the coordinates of the multiple wind turbines in combination with the regional restriction information to obtain candidate transmission cable laying paths; filtering the candidate transmission cable laying paths to obtain the first transmission cable laying path and the target coordinates.

2. The method for determining the structure of an offshore wind power cluster transmission system according to claim 1, characterized in that, Combining the aforementioned regional constraint information, an ant colony algorithm is used to search between the candidate coordinates and the coordinates of the multiple wind turbines to obtain candidate power transmission cable laying paths, including: The candidate coordinates are determined as food points; The coordinates of the multiple wind turbines are determined as an anthill; Based on the probability transition rules, the regional restriction information, and the objective function, a search is performed between the food point and the ant nest to obtain the candidate power transmission cable laying path, wherein the objective function is determined based on the length of the power transmission cable laying path.

3. The method for determining the structure of an offshore wind power cluster transmission system according to claim 1, characterized in that, The candidate power transmission cable laying paths are filtered to obtain the first power transmission cable laying path and the target coordinates, including: Obtain the transmission cable laying cost information corresponding to the candidate transmission cable laying path; The candidate transmission cable laying paths are filtered based on the transmission cable laying cost information to obtain the first transmission cable laying path. The candidate coordinates corresponding to the first power transmission cable laying path are determined as the target coordinates.

4. The method for determining the structure of an offshore wind power cluster transmission system according to claim 2, characterized in that, The method further includes: The search area is determined based on the coordinates of the multiple wind turbines and the center coordinates; The search area is gridded to obtain grid point data; In response to the determination of obstacles on the path between grid points based on the regional constraint information, the heuristic data in the probability transition rule is determined to be a maximum value.

5. The method for determining the structure of an offshore wind power cluster transmission system according to claim 1, characterized in that, Determining the laying path of the second power transmission cable based on the center coordinates and the target coordinates includes: By combining the area restriction information, the ant colony algorithm is used to search between the target coordinates and the center coordinates to obtain the second power transmission cable laying path.

6. An electronic device, characterized in that, include: Memory, which stores executable programs; A processor for running the program, wherein the program executes the method for determining the structure of an offshore wind power cluster transmission system as described in any one of claims 1 to 5.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device where the storage medium is located to perform the method for determining the structure of an offshore wind power cluster transmission system as described in any one of claims 1 to 5.

8. A computer program product, characterized in that, The system includes a computer program that, when executed by a processor, implements the method for determining the structure of an offshore wind power cluster transmission system according to any one of claims 1 to 5.

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