Wind power plant topological structure design method and system, control device and storage medium

Abstract

The invention relates to the technical field of wind power, particularly provides a wind power plant topological structure design method and system, a control device and a storage medium, and aims to solve the technical problem of unreasonable wind power plant design. In order to achieve the purpose, the wind power plant topological structure design method comprises the steps that the first position of a wind turbine generator, the second position of a preset power grid, the first price of a first cable and the second price of a second cable are obtained; based on the first position and the second position, utilizing a preset first model to obtain a predicted topological structure of the power device; and based on the first price and the second price, determining a target topological structure in all the predicted topological structures by using a preset second model. The position of the preset power grid and the price of the cable between the booster station and the preset power grid are additionally considered. According to the invention, the layout of the power device in the wind power plant and the routing of the cable path can be designed more reasonably, and the construction cost is reduced.

Description

Technical Field

[0001] The present application relates to the field of wind power technology, and specifically provides a wind farm topology design method, system, control device and storage medium. Background Art

[0002] In wind farm planning, the layout of wind turbines, substations and cables is usually regarded as the routing planning between wind turbines and wind turbines, and between wind turbines and substations. The first step is to determine the locations of wind turbines and substations, and then design the cable layout.

[0003] Traditional designs generally only consider the topology optimization of cables within wind farms, that is, how to optimize the cable path within the wind farm to achieve a reasonable layout and cost control. This process mainly focuses on the cable connection between the units and the booster station, but ignores the key factor of the feeder cable and the external grid connection, that is, it does not fully consider how to effectively and economically send the wind farm's electricity from the booster station to the grid.

[0004] Accordingly, the art needs a new wind farm topology design method, system, control device and storage medium solution to solve the above problems. Summary of the invention

[0005] In order to overcome the above-mentioned defects, the present application is proposed to provide a wind farm topology design method, system, control device and storage medium that solve or at least partially solve the technical problem of unreasonable wind farm design in the prior art.

[0006] In a first aspect, the present application provides a method for designing a wind farm topology structure, wherein the wind farm comprises at least a power device and a cable, wherein the power device comprises at least a wind turbine and a booster station, and the cable comprises at least a first cable for connecting the power devices to each other and a second cable for connecting the booster station to a preset power grid, and the method comprises: Acquire a first position of the wind turbine generator set, a second position of the preset power grid, a first price of the first cable, and a second price of the second cable; Obtaining a predicted topological structure of the power device based on a preset first model, the first position, and the second position; Based on a preset second model, the first price, and the second price, a target topology structure is determined among all the predicted topologies.

[0007] In a technical solution of the wind farm topology design method, obtaining the predicted topology of the power device based on the first position and the second position by using a preset first model includes: Based on a preset first rule, the first position and the second position, a predicted position of the booster station is obtained; The predicted topological structure is obtained based on a preset second rule, the predicted position, the first position, and the second position.

[0008] In a technical solution of the above-mentioned wind farm topology design method, obtaining the predicted position of the booster station based on the preset first rule, the first position and the second position includes: Based on the first position and the second position, obtaining a boundary parameter; Generate an initial position within the range represented by the boundary parameter based on a preset generation rule; Based on preset optimization rules, the initial position is optimized to obtain the predicted position.

[0009] In a technical solution of the wind farm topology design method, the determining of the target topology from all the predicted topologies based on the first price and the second price using a preset second model comprises: Based on the predicted topology, a first distance between two of the interconnected power devices and a second distance between the booster station and the preset power grid are obtained; Obtaining a first cost of the first cable based on the first distance and the first price; Based on the second distance and the second price, obtaining a second cost of the second cable; Adding the first cost and the second cost to obtain a total cost of the cable; The predicted topology structure corresponding to the total cost with the smallest value is determined as the target topology structure.

[0010] In a technical solution of the above-mentioned wind farm topology design method, the method further includes: Based on a preset screening rule, screening the predicted topological structure corresponding to the total cost to obtain a selected topological structure; Based on the preset optimization rule, optimizing the predicted position corresponding to the selected topological structure to obtain an updated predicted position; Based on the updated predicted position, re-execute the step of obtaining the predicted topological structure to obtain an updated predicted topological structure; Based on the updated predicted topology, the step of determining the target topology is re-executed.

[0011] In a technical solution of the above-mentioned wind farm topology design method, the method further includes: Obtaining a safety factor between each group of two interconnected power devices; The obtaining a first cost of the first cable based on the first distance and the first price includes: A first cost of the first cable is obtained based on the first distance, the first price, and the safety factor.

[0012] In a technical solution of the above-mentioned wind farm topology design method, the predicted topology includes at least the model of the first cable between each group of two interconnected power devices, wherein the model corresponds to the first price one by one.

[0013] In a second aspect, the present application provides a wind farm topology design system, wherein the wind farm includes at least a power device and a cable, wherein the power device includes at least a wind turbine and a booster station, and the cable includes at least a first cable for connecting the power devices to each other and a second cable for connecting the booster station to a preset power grid, and the system includes: An acquisition module, wherein the acquisition module is configured to acquire a first position of the wind turbine group, a second position of the preset power grid, a first price of the first cable, and a second price of the second cable; A processing module, wherein the processing module is configured to obtain a predicted topology structure of the power device based on the first position and the second position by using a preset first model; An analysis module is configured to determine a target topology structure among all the predicted topologies based on the first price and the second price and using a preset second model.

[0014] In a third aspect, a control device is provided, which includes a processor and a storage device, wherein the storage device is suitable for storing multiple program codes, and the program codes are suitable for being loaded and run by the processor to execute the wind farm topology structure design method described in any one of the technical solutions of the above-mentioned wind farm topology structure design method.

[0015] In a fourth aspect, a computer-readable storage medium is provided, wherein a plurality of program codes are stored therein, wherein the program codes are suitable for being loaded and run by a processor to execute the wind farm topology structure design method described in any one of the technical solutions of the above-mentioned wind farm topology structure design method.

[0016] The above one or more technical solutions of the present application have at least one or more of the following beneficial effects: In the technical solution for implementing the present application, based on the location of the wind turbine and the location of the preset power grid, the first model is used to predict the topology between the wind turbine and the booster station, so that the second model determines the target topology among all predicted topologies based on the first price and the second price. In the process of designing a wind farm, the present application additionally considers the location of the preset power grid and the price of the cable between the booster station and the preset power grid. Through the present application, the layout of the power devices in the wind farm and the routing of the cable paths can be designed more reasonably, reducing the construction cost.

[0017] Furthermore, in the technical solution of the present application, the location of the booster station is predicted based on the location of the wind turbine and the location of the preset power grid, which can ensure that the predicted location of the booster station is more reasonable, thereby making the predicted topology structure obtained based on the predicted location of the booster station, the location of the wind turbine and the location of the preset power grid more reasonable. The present application introduces the location of the booster station in the process of predicting the topology between power devices. Through the present application, it is possible to output accurate and reasonable predicted locations and predicted topologies, which indirectly improves the rationality of the target topology structure finally determined.

[0018] Furthermore, in the technical solution of the present application, firstly, based on the position of the wind turbine and the position of the preset power grid, boundary parameters are obtained, then the initial position of the booster station is predicted within the boundary parameters, and finally the predicted position is obtained after the initial position is optimized. The present application preliminarily predicts the initial position of the booster station within the boundary obtained by the position of the wind turbine and the position of the preset power grid. Through the present application, the predicted position of the booster station is within the processing range boundary, ensuring that the predicted position of the booster station is reasonable and effective.

[0019] Furthermore, in the technical solution of the present application, the distance between the interconnected power devices, i.e., the cable length, is first obtained based on the topological structure, and the cable cost is calculated based on the distance and the corresponding price. In the process of calculating the total cost of the cable, the present application additionally takes into account the distance between the booster station and the preset power grid and the cost of the second cable between the two. Through the present application, the cost of the first cable and the cost of the second cable are comprehensively considered, so that the total cost of all required cables can be accurately calculated, and then the predicted topological structure with the lowest total cost is selected as the target topological structure, ensuring that the layout of the target topological structure is reasonable and the total cost of the required cables is the lowest.

[0020] Furthermore, in the technical solution of the present application, based on the screening rules, screening is performed among the numerous prediction topologies to obtain the selected prediction topology, and at the same time, the predicted positions of the substations contained in these selected prediction topologies are obtained, and the predicted positions are subjected to the same optimization process as above to obtain the second-generation or updated prediction positions, so as to obtain the second-generation or updated prediction topology based on the second-generation prediction position, the position of the wind turbine and the position of the preset power grid, and then determine the second-generation target topology based on the second-generation prediction topology, the first price and the second price. Through the present application, the predicted position and prediction topology of the substation can be continuously optimized, so as to obtain a more reasonable and low-cost target topology. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The disclosure of the present application will become more easily understood with reference to the accompanying drawings. It is easy for those skilled in the art to understand that these drawings are only for illustrative purposes and are not intended to limit the scope of protection of the present application. In addition, similar numbers in the drawings are used to represent similar components, among which: Figure 1 It is a schematic flow chart of main steps of a method for designing a wind farm topology structure according to an embodiment of the present application; Figure 2 It is a schematic flow chart of the main steps of obtaining a predicted topological structure according to an embodiment of the present application; Figure 3 is a schematic flow chart of the main steps of obtaining a predicted position according to an embodiment of the present application; Figure 4 It is a schematic flow chart of main steps of a method for designing a wind farm topology structure according to an embodiment of the present application; Figure 5 It is a schematic diagram of the main steps of a wind farm topology design method according to an implementation example of the present application; Figure 6 is a schematic plan view of a wind farm according to an implementation example of the present application; Figure 7 is a schematic diagram of a topological structure of a wind farm before optimization according to an implementation example of the present application; Figure 8 is a schematic diagram of a topological structure of an optimized wind farm according to an implementation example of the present application; Fig. 9 It is a schematic diagram of the main structural block diagram of a wind farm topology design system according to an implementation example of the present application.

[0022] List of reference numerals: 11: Acquisition module; 12: Processing module; 13: Analysis module. DETAILED DESCRIPTION

[0023] Some embodiments of the present application are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present application and are not intended to limit the protection scope of the present application.

[0024] In the description of the present application, "module" and "processor" may include hardware, software or a combination of the two. A module may include hardware circuits, various suitable sensors, communication ports, memory, and may also include software parts, such as program code, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor or any other suitable processor. The processor has data and / or signal processing functions. The processor may be implemented in software, hardware or a combination of the two. Non-temporary computer-readable storage media include any suitable medium that can store program code, such as a disk, a hard disk, an optical disk, a flash memory, a read-only memory, a random access memory, etc. The term "A and / or B" means all possible combinations of A and B, such as only A, only B or A and B. The term "at least one A or B" or "at least one of A and B" has a similar meaning to "A and / or B" and may include only A, only B or A and B. The singular terms "one" and "the" may also include plural forms.

[0025] Please see attached Figure 1 , Figure 1 FIG. 1 is a schematic flow chart of the main steps of a method for designing a wind farm topology structure according to an embodiment of the present application. Figure 1 As shown, the wind farm topology design method of the present application mainly includes steps S1 to S3: Step S1, obtaining a first position of a wind turbine, a second position of a preset power grid, a first price of a first cable, and a second price of a second cable; Step S2: Based on the first position and the second position, using a preset first model, obtain a predicted topological structure of the power device; Step S3: Based on the first price and the second price, using a preset second model, determine a target topology structure among all predicted topologies.

[0026] In this embodiment, the wind farm includes at least an electric device and a cable, wherein the electric device includes at least a wind turbine and a booster station, and the cable includes at least a first cable for connecting the electric devices to each other and a second cable for connecting the booster station to a preset power grid. The electric power generated by the wind turbine is generally low-voltage electric power, and the first cable is used to transmit the electric power of the wind turbine to the booster station; after the low-voltage electric power is boosted by the booster station, the electric power of the booster station is transmitted to the preset power grid through the second cable. The first position of the wind turbine and the second position of the preset power grid are both pre-fixed positions, wherein the second position of the preset power grid can be the positions of multiple preset fixed access points on the high-voltage power grid line, or it can be one or more high-voltage power grid lines and any position can be used as an access point. The price of the cable is generally its unit price, which can be RMB / meter, RMB / kilometer, etc., which is not limited here. The predicted topology of the power device includes the connection relationship information of the power device output by the preset first model based on the input data, specifically whether the booster station is connected to each wind turbine generator set through the first cable, whether each wind turbine generator set is connected to each other through the first cable, and the predicted topology may also include the location information of the booster station. Based on the price of the cable, each predicted topology is analyzed using the preset second model, so as to determine the predicted topology that meets the requirements as the target topology.

[0027] In one embodiment, in combination Figure 1 and Figure 2 , Figure 2 FIG. 1 is a flow chart of the main steps of obtaining a predicted topological structure according to an embodiment of the present application. Figure 2 As shown, step S2 of the wind farm topology design method of the present application may also include steps S21 and S22: Step S21, obtaining a predicted position of the booster station based on a preset first rule, the first position and the second position; Step S22: obtaining the predicted topological structure based on a preset second rule, the predicted position, the first position and the second position.

[0028] In this embodiment, based on the preset first rule, the predicted position of the booster station can be randomly generated within the range boundary formed by the wind turbines and the preset power grid; the predicted position of the booster station can be randomly generated on each vertical line between each wind turbine and the preset power grid; the shortest vertical line can be further selected, and equally divided points on the shortest vertical line can be selected as the predicted position of the booster station; the specific method is not limited in this embodiment. Based on the preset second rule, the booster station can be connected to each wind turbine but not to each other; the booster station can also be connected only to a preset number of wind turbines and the remaining wind turbines can be connected to the preset number of wind turbines; a topology generation model can also be pre-constructed, and by inputting constraints in the model, the model can autonomously learn and generate multiple predicted topologies; the method of generating the predicted topology is not limited in this embodiment.

[0029] In one embodiment, in combination Figures 1 to 3 , Figure 3 FIG. 1 is a flow chart of the main steps of obtaining a predicted position according to an embodiment of the present application. Figure 3 As shown, step S21 of the wind farm topology design method of the present application may also include steps S211 to S213: Step S211, obtaining boundary parameters based on the first position and the second position; Step S212: generating an initial position within the range represented by the boundary parameter based on a preset generation rule; Step S213: Optimize the initial position based on preset optimization rules to obtain a predicted position.

[0030] In this embodiment, based on the position of the wind turbine and the position of the preset power grid, the range boundary of the optional position of the booster station is obtained, wherein the specific demarcation method of the boundary can be to select the two wind turbines with the farthest distance in the vertical direction as two vertices, and select the two wind turbines with the farthest distance in the horizontal direction as two vertices, and then project the area composed of the four vertices vertically on the preset power grid and select the two endpoints of the projection, and finally record the area composed of the six points as the range boundary; or a circular boundary with a preset radius and capable of including all wind turbines can be used as the range boundary; the specific method is not limited in this application. Within the range boundary, the position of the booster station can be randomly generated; or a certain number of booster station positions can be generated in a uniformly arranged manner; the specific method is not limited in this application. The method for optimizing the initial position can be random screening; or it can be based on certain algorithms such as genetic algorithms, clustering algorithms, etc. to adjust and optimize the initially generated position; the specific method is not limited in this application. Only the optimized position is used as the predicted position.

[0031] In one embodiment, step S3 of the wind farm topology design method of the present application may further include steps S31 to S35: Step S31: Based on the predicted topology, obtain a first distance between two interconnected power devices and a second distance between the booster station and a preset power grid; Step S32: obtaining a first cost of the first cable based on the first distance and the first price; Step S33, obtaining a second cost of the second cable based on the second distance and the second price; Step S34, summing the first cost and the second cost to obtain the total cost of the cable; Step S35: determine the predicted topology structure corresponding to the total cost with the smallest value as the target topology structure.

[0032] In this embodiment, firstly, based on the predicted topology, determine which wind turbines the booster station is connected to and the connection relationship between each wind turbine. After determining the connection relationship between the power devices, calculate the distance between the two interconnected power devices, which can be a straight-line distance; it can also be the distance of the preset cable path direction, such as the length of the pre-laid line pipeline; it can also be the Euclidean distance between the coordinate parameters of each position, etc.; the specific definition of the distance and its calculation method are not limited in this application. The method of calculating the cost based on the distance and price can be characterized as the product value of the cable length and the cable unit price. Each predicted position of the booster station corresponds to one or more (if there is no condition for screening multiple predicted topological structures in the preset second rule) predicted topological structures, and each predicted topological structure corresponds to a specific total cable cost value. The predicted topological structure method with the lowest cost is selected as the target topological structure, and the predicted position corresponding to the target structure is used as the target position of the booster station. Through this embodiment, the cable layout scheme with the lowest cost and the reasonable setting position of the booster station can be found.

[0033] In one embodiment, in combination Figures 1 to 4 , Figure 4 FIG. 1 is a schematic flow chart of the main steps of a method for designing a wind farm topology structure according to an embodiment of the present application. Figure 4 As shown, the wind farm topology design method of the present application may also include steps S4 to S7: Step S4: based on the preset screening rules, screen the predicted topological structures corresponding to the total cost to obtain the selected topological structures; Step S5: optimizing the predicted position corresponding to the selected topological structure based on a preset optimization rule to obtain an updated predicted position; Step S6: based on the updated predicted position, re-execute the step of obtaining the predicted topological structure to obtain an updated predicted topological structure; Step S7: based on the updated predicted topology, re-execute the step of determining the target topology.

[0034] In this embodiment, the second optimization is mainly performed on the predicted position after the first optimization. This process can be regarded as a multiple iteration process of data in the pre-trained model. First, the predicted topology structure whose cable cost is below the average value of the total cost can be selected as the selected predicted topology structure, and the predicted position corresponding to the selected predicted topology structure can be reversely searched. These predicted positions are used as the initial positions generated above and then iteratively optimized to obtain the updated predicted position. Re-execute the subsequent steps and iterate continuously until the stopping condition is met, wherein the condition for stopping the iteration can be that the total cable cost of the target topology structure is lower than a preset threshold, or the condition for stopping the iteration can be that the total cable cost of the target topology structure in the most recent iteration has a growth rate less than the preset threshold compared to the previous time. It should be understood that the growth rate is a positive number less than one.

[0035] In one embodiment, the wind farm topology design method of the present application further includes: obtaining a safety factor between each group of two interconnected power devices; the process of calculating the first cost of the first cable includes: obtaining the first cost of the first cable based on the first distance, the first price and the safety factor. In this embodiment, the safety factor can represent the redundancy of the cable length, the difficulty of subsequent maintenance, the difficulty of specific construction, etc.

[0036] In one embodiment, the price of the cable corresponds to its model, and therefore the topology of the power device should also include the specific model of each section of the cable.

[0037] Based on the above description, it can be known that based on the location of the wind turbine and the location of the preset power grid, the first model is used to predict the topology between the wind turbine and the booster station, so that the second model determines the target topology in all predicted topologies based on the first price and the second price. In the process of designing a wind farm, the present application additionally considers the location of the preset power grid and the price of the cable between the booster station and the preset power grid. Through the present application, the layout of the power equipment in the wind farm and the routing of the cable path can be designed more reasonably, reducing the construction cost.

[0038] Please see attached Figure 5 To Attachment Figure 8, respectively, are a schematic diagram of the main steps of the wind farm topology design method, a schematic diagram of the wind farm site plan, a schematic diagram of the wind farm topology before optimization, and a schematic diagram of the wind farm topology after optimization. In this implementation example, the wind farm topology design method can be summarized as follows: a. Obtain wind turbine layout information; b. Obtain the wind farm area and coastline, i.e., the grid location information, and establish a feed-in point model; c. Obtain the values ​​of various parameters required for cable layout design and establish a cable cost model for the wind farm; d. Establish an optimization model, which consists of two layers, where the outer layer is used to determine the location of the booster station, and the inner layer is used to plan the cable layout and calculate the total cable cost.

[0039] Specific: Binary variables The definition is as follows, where Indicates the cable type:

[0040] Despite There are 2 types of cables to choose from, but each type of cable is mutually exclusive. Only one type of cable can be selected for laying on the same path. The constraints are as follows:

[0041] The formula for calculating cable cost is:

[0042] in, is the cable unit price, Representative Points and The Euclidean distance between is a given safety factor.

[0043] In order to meet the design requirements of the radial wind farm collection system, the cable path layout should meet the following constraints:

[0044]

[0045]

[0046]

[0047]

[0048]

[0049]

[0050]

[0051]

[0052]

[0053]

[0054] Formula 4 ensures that each node has only one cable for energy output. Formula 5 ensures that at least one cable is connected to the booster station. Formula 6 prevents the same section of cable from being connected to the same node end to end. Formula 7 ensures that there is no energy output after the feed point. Formula 8 ensures that there is a route from the booster station to the feed point. Formula 9 ensures that there is no route from the unit to the feed point. Formula 10 ensures that cable type 4 is used from the booster station to the feed point. Formula 11 prevents energy loops from occurring between any two nodes. Formula 12 avoids any two cable sections from crossing, and the set Storage Crossover Cable Pair Formula 13 represents the power balance of each node, where is a continuous non-negative variable. Equation 14 ensures that the power flow on each cable is less than the cable capacity.

[0055] The optimization goal of the GA algorithm is set as follows:

[0056] in, is the cable cost.

[0057] Population initialization: Randomly generate the initial population, where each individual contains the real number encoding (h, v) of the coordinates of the booster station. Crossover and mutation operations: New offspring are generated through crossover and mutation operations. The mutation uses polynomial mutation and the crossover uses simulated binary.

[0058] Population update: merge the newly generated offspring with the original population to obtain an updated population.

[0059] Fitness function evaluation: Calculate the objective function value of each individual. In the optimization, the objective function is the cable cost.

[0060] The shortest feeder cable from the booster station to the coastline can be calculated for each individual.

[0061] The cable-related costs and cable layout are obtained by solving the MILP model. Wind farms with multiple nodes can directly introduce cables without cross constraints, which will increase The variable equation greatly increases the difficulty of solving. In order to solve quickly, the relaxed model without cross constraints is solved first. After obtaining the initial solution, determine whether the cable crosses and identify the cross position, add no cross constraints to the cross position, and form a new relaxed model. Repeat the iterative solution until a cable layout without cross is generated.

[0062] Non-dominated sorting and crowding distance calculation: By comparing the objective function values ​​between individuals, the individuals in the population are divided into different non-dominated levels and the crowding distance is calculated.

[0063] Selection of the new generation of individuals: Based on the non-dominated order and crowding distance, select individuals with high non-dominated levels. If adding all individuals of a certain non-dominated level will make the population size exceed the limit, select individuals with higher crowding until the required number of individuals is obtained.

[0064] Iterations are repeated until convergence conditions are met, and the optimization stop condition is defined as the growth rate of HV value in 1000 consecutive generations is less than 0.0001. HV is defined as follows

[0065] in represents the Lebesgue assay, A hypervolume consisting of the points of the frontier solution and the reference point.

[0066] Through this implementation example, Figure 7 The topology structure in is optimized as Figure 8 The connection structure shown, and Figure 8 The cable between the booster station OSS and the feed point Q is taken into account. The cable cost before and after optimization can be referred to the following table:

[0067] So far, the wind farm topology design method of the present application has been fully described. It should be pointed out that although the various steps are described in a specific order in the above embodiment, those skilled in the art can understand that in order to achieve the effect of the present application, different steps do not have to be performed in such an order, and they can be performed simultaneously (in parallel) or in other orders, and these changes are within the scope of protection of the present application.

[0068] Furthermore, the present application also provides a wind farm topology design system.

[0069] See attached Fig. 9 , Fig. 9 FIG. 1 is a main structural block diagram of a wind farm topology design system according to an embodiment of the present application. Fig. 9As shown, the wind farm topology design system in the embodiment of the present application mainly includes an acquisition module 11, a processing module 12 and an analysis module 13. In some embodiments, one or more of the acquisition module 11, the processing module 12 and the analysis module 13 can be combined into one module. In some embodiments, the acquisition module can be configured to acquire the first position of the wind turbine, the second position of the preset power grid, the first price of the first cable and the second price of the second cable. The processing module 12 can be configured to obtain the predicted topology of the power device based on the first position and the second position using a preset first model. The analysis module 13 can be configured to determine the target topology in all the predicted topologies based on the first price and the second price using a preset second model. In one embodiment, the description of the specific implementation function of the acquisition module 11 can refer to step S1. In one embodiment, the description of the specific implementation function of the processing module 12 can refer to step S2. In one embodiment, the description of the specific implementation function of the analysis module 13 can refer to step S3.

[0070] The wind farm topology design system is used to perform Figure 1 The wind farm topology structure design method embodiment shown in the figure has similar technical principles, technical problems solved and technical effects produced. Technicians in this technical field can clearly understand that for the convenience and conciseness of description, the specific working process and related instructions of the wind farm topology structure design system can refer to the contents described in the embodiment of the wind farm topology structure design method, which will not be repeated here.

[0071] It is understood by those skilled in the art that all or part of the processes in the method for implementing the above-mentioned embodiment of the present application can also be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may include: any entity or device, medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal and software distribution medium, etc. that can carry the computer program code.

[0072] Furthermore, the present application also provides a control device. In a control device embodiment according to the present application, the control device includes a processor and a storage device, the storage device can be configured to store a program for executing the wind farm topology structure design method of the above method embodiment, and the processor can be configured to execute the program in the storage device, which includes but is not limited to the program for executing the wind farm topology structure design method of the above method embodiment. For ease of explanation, only the parts related to the embodiment of the present application are shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present application. The control device can be a control device device formed by various electronic devices.

[0073] Furthermore, the present application also provides a computer-readable storage medium. In a computer-readable storage medium embodiment according to the present application, the computer-readable storage medium can be configured to store a program for executing the wind farm topology design method of the above-mentioned method embodiment, and the program can be loaded and run by the processor to implement the above-mentioned wind farm topology design method. For ease of explanation, only the parts related to the embodiment of the present application are shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present application. The computer-readable storage medium can be a storage device formed by various electronic devices. Optionally, the computer-readable storage medium in the embodiment of the present application is a non-temporary computer-readable storage medium.

[0074] Further, it should be understood that since the setting of each module is only for illustrating the functional units of the device of the present application, the physical devices corresponding to these modules may be the processor itself, or a part of the software in the processor, a part of the hardware, or a part of the combination of software and hardware. Therefore, the number of each module in the figure is only schematic.

[0075] It is understood by those skilled in the art that each module in the device can be adaptively split or merged. Such splitting or merging of specific modules will not cause the technical solution to deviate from the principle of the present application, and therefore, the technical solutions after splitting or merging will fall within the protection scope of the present application.

[0076] So far, the technical solutions of the present application have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Without departing from the principles of the present application, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present application.

Claims

1. A method for designing a wind farm topology structure, characterized in that: The wind farm comprises at least an electric device and a cable, wherein the electric device comprises at least a wind turbine and a booster station, the cable comprises at least a first cable for connecting the electric devices to each other and a second cable for connecting the booster station to a preset power grid, and the method comprises: Acquire a first position of the wind turbine generator set, a second position of the preset power grid, a first price of the first cable, and a second price of the second cable; Based on the first position and the second position, using a preset first model, obtaining a predicted topological structure of the power device; Based on the first price and the second price, a target topology is determined among all the predicted topologies using a preset second model.

2. The wind farm topology design method according to claim 1, characterized in that: The obtaining the predicted topological structure of the power device based on the first position and the second position by using a preset first model comprises: Based on a preset first rule, the first position and the second position, a predicted position of the booster station is obtained; The predicted topological structure is obtained based on a preset second rule, the predicted position, the first position, and the second position.

3. The wind farm topology design method according to claim 2, characterized in that: The obtaining the predicted position of the booster station based on the preset first rule, the first position and the second position includes: Based on the first position and the second position, obtaining a boundary parameter; Generate an initial position within the range represented by the boundary parameter based on a preset generation rule; Based on preset optimization rules, the initial position is optimized to obtain the predicted position.

4. The wind farm topology design method according to claim 3, characterized in that: The determining of the target topology structure from among all the predicted topologies based on the first price and the second price and using a preset second model comprises: Based on the predicted topology, a first distance between two of the interconnected power devices and a second distance between the booster station and the preset power grid are obtained; Obtaining a first cost of the first cable based on the first distance and the first price; Based on the second distance and the second price, obtaining a second cost of the second cable; Adding the first cost and the second cost to obtain a total cost of the cable; The predicted topology structure corresponding to the total cost with the smallest value is determined as the target topology structure.

5. The wind farm topology design method according to claim 4, characterized in that: The method further comprises: Based on a preset screening rule, screening the predicted topological structure corresponding to the total cost to obtain a selected topological structure; Based on the preset optimization rule, optimizing the predicted position corresponding to the selected topological structure to obtain an updated predicted position; Based on the updated predicted position, re-execute the step of obtaining the predicted topological structure to obtain an updated predicted topological structure; Based on the updated predicted topology, the step of determining the target topology is re-executed.

6. The method for designing a wind farm topology structure according to claim 4, characterized in that: The method further comprises: Obtaining a safety factor between each group of two interconnected power devices; The obtaining a first cost of the first cable based on the first distance and the first price includes: A first cost of the first cable is obtained based on the first distance, the first price, and the safety factor.

7. The wind farm topology design method according to claim 1, characterized in that: The predicted topology structure includes at least the model of the first cable between each group of two of the power devices connected to each other, wherein the model corresponds to the first price one by one.

8. A wind farm topology design system, characterized in that: The wind farm comprises at least an electric device and a cable, wherein the electric device comprises at least a wind turbine and a booster station, the cable comprises at least a first cable for connecting the electric devices to each other and a second cable for connecting the booster station to a preset power grid, and the system comprises: An acquisition module, wherein the acquisition module is configured to acquire a first position of the wind turbine group, a second position of the preset power grid, a first price of the first cable, and a second price of the second cable; A processing module, wherein the processing module is configured to obtain a predicted topology structure of the power device based on the first position and the second position by using a preset first model; An analysis module is configured to determine a target topology structure among all the predicted topologies based on the first price and the second price and using a preset second model.

9. A control device, comprising a processor and a storage device, wherein the storage device is suitable for storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by the processor to execute the wind farm topology design method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a plurality of program codes, characterized in that: The program code is suitable for being loaded and run by a processor to execute the wind farm topology design method according to any one of claims 1 to 7.

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