Wind power plant layout processing method, device, equipment and medium

Abstract

The invention relates to the technical field of wind power plant layout, particularly provides a wind power plant layout processing method and device, equipment and a medium, and aims to solve the technical problem of high construction cost of a wind power system caused by unreasonable layout of a wind turbine generator and a booster station. In order to achieve the purpose, the method comprises the steps that in each round, an ith wind power plant population and an ith booster station population are obtained; according to the first optimization target and the second optimization target, the ith wind power plant population and the ith booster station population are optimized, and the ith wind turbine generator layout and the ith booster station layout are obtained; according to the i wind turbine generator layout and the i booster station layout, obtaining an i variation wind turbine generator population and an i variation booster station population; obtaining an (i + 1) th wind power plant population and an (i + 1) th booster station population according to the ith variation wind turbine generator population and the ith variation booster station population; and when it is determined that the first optimization target and the second optimization target are reached, the Nth wind turbine generator layout and the Nth booster station layout are obtained.

Description

Technical Field

[0001] The present application relates to the technical field of wind farm layout, and specifically provides a wind farm layout processing method, device, equipment and medium. Background Art

[0002] At present, wind energy is an important driving force for the transformation to clean energy, and wind farms tend to be larger and more base-based.

[0003] In the prior art, a wind power system mainly includes wind turbines, booster stations and cables. After the area where the wind power system is to be installed is determined, the layout is carried out according to factors such as the regional wind conditions, terrain, and wake to maximize the power generation efficiency of the wind power system. However, since only the maximization of power generation efficiency is considered, the layout of wind turbines and booster stations is unreasonable, which in turn leads to the technical problem of high construction costs of wind power systems.

[0004] Accordingly, the art needs a new wind farm layout processing method 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 solution or at least partially solve the technical problem in the prior art that only the maximization of power generation efficiency is considered, resulting in an unreasonable layout of wind turbines and booster stations, which in turn leads to high construction costs of wind power systems.

[0006] In a first aspect, the present application provides a wind farm layout processing method, comprising: In each round, the i-th wind farm population and the i-th booster station population are obtained; when i is 1, it is the initial population of the wind farm and the initial population of the booster station; According to the first optimization goal and the second optimization goal, the i-th wind farm population and the i-th booster station population are optimized to obtain the i-th wind turbine layout and the i-th booster station layout; wherein the first optimization goal is to maximize the total output power, and the second optimization goal is to minimize the cable cost; According to the i-th wind turbine group layout and the i-th booster station layout, obtaining the i-th variant wind turbine group population and the i-th variant booster station population; According to the i-th variant wind turbine population and the i-th variant booster station population, an i+1-th wind farm population and an i+1-th booster station population are obtained; When it is determined that the first optimization target and the second optimization target are achieved, the Nth wind turbine layout and the Nth booster station layout are obtained, and the optimization process is stopped; wherein N is the total number of rounds.

[0007] In a technical solution of the above-mentioned method for processing the layout of a wind farm, obtaining the initial population of the wind farm and the initial population of the booster station includes: Get the area and number of wind turbines in the wind farm; Obtaining a wind turbine rule variable according to the region and the number of wind turbines; According to the wind turbine rule variables, the initial population of the wind farm is obtained; wherein the initial population of the wind farm includes a plurality of wind turbine layouts; According to the initial population of the wind farm and preset constraints, an initial layout of the booster station is obtained; According to the initial layout of the booster stations, the initial population of booster stations is obtained; wherein the initial population of booster stations includes a plurality of booster station layouts.

[0008] In a technical solution of the above-mentioned method for processing wind farm layout, obtaining the wind turbine rule variable according to the area and the number of wind turbines includes: According to the area and the number of wind turbines, a minimum spacing between wind turbines is obtained; Selecting a global center point within the region; According to the first preset value range, the ratio of the starting points in the line is obtained; According to the preset angle range, the parallel line rotation angle is obtained; According to the minimum spacing of the wind turbine generator sets, a minimum spacing between rows and a minimum spacing within a row are obtained; According to the second preset value range, a line spacing gradient coefficient is obtained; According to the third preset value range, obtaining the intra-line spacing gradient coefficient; According to the global center point, the ratio of the starting points within a row, the parallel line rotation angle, the minimum spacing between rows, the minimum spacing within a row, the row spacing gradient coefficient and the row spacing gradient coefficient, the wind turbine rule variables are obtained.

[0009] In a technical solution of the above-mentioned method for processing the layout of a wind farm, the initial layout of booster stations is obtained according to the initial population of the wind farm and preset constraints, including: Obtaining a random layout of booster stations according to the initial population of the wind farm and the area of ​​the wind farm; According to the preset constraints, the random layout of the booster stations is screened to obtain the initial layout of the booster stations.

[0010] In a technical solution of the above-mentioned method for processing wind farm layout, obtaining the total output power includes: Obtaining the speed loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, the additional flow turbulence intensity of the upstream wind turbine of the current wind turbine at multiple points on the wind rotor of the current wind turbine, and the ambient incoming wind speed; According to the speed loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, the inflow speed loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine is obtained; According to the additional flow turbulence intensity of the upstream wind turbine group of the current wind turbine group at multiple points on the wind rotor of the current wind turbine group, obtaining the additional flow turbulence intensity of the inflow at multiple points on the wind rotor of the current wind turbine group; According to the inflow velocity loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, the average inflow velocity loss of multiple points on the wind rotor of the current wind turbine is obtained; Obtaining the wind speed in front of the hub of the current wind turbine according to the ambient incoming wind speed and the average inflow speed loss of multiple points on the wind rotor of the current wind turbine; According to the additional flow turbulence intensity of the inflow at multiple points on the wind rotor of the current wind turbine generator set and the wind speed in front of the hub of the current wind turbine generator set, the wind speed in front of the hub of the wind turbine generator set and the power curve of the wind turbine generator set are obtained; The total output power is obtained based on the output power of the wind turbines, the frequency of wind conditions, the number of wind directions, the number of wind speed ranges and the number of turbines.

[0011] In a technical solution of the above-mentioned method for processing wind farm layout, obtaining the cable cost includes: According to the position of the booster station in the initial population of booster stations and the preset coastline position, the coast point closest to the booster station is obtained, and the coast point is used as a feeder cable node; According to the feeder cable nodes and wind turbine group locations, a cable cost model is obtained; The cable cost is obtained according to the cable cost model.

[0012] In a technical solution of the above-mentioned method for processing wind farm layout, the cable cost model is obtained according to the feeder cable nodes and wind turbine group positions, including: Obtaining a path layout according to the wind turbine position and the feeder cable node; According to preset constraint conditions, the path layout is subjected to constraint processing to obtain a constrained path layout; A cable cost model is obtained according to the constraint path layout, the wind turbine location and the cable information.

[0013] In a second aspect, the present application provides a wind farm layout processing device, comprising: An acquisition module is used to acquire the i-th wind farm population and the i-th booster station population in each round; wherein, when i is 1, it is the initial population of the wind farm and the initial population of the booster station; A training module, configured to optimize the i-th wind farm population and the i-th booster station population according to a first optimization objective and a second optimization objective, so as to obtain an i-th wind turbine group layout and an i-th booster station layout; wherein the first optimization objective is to maximize the total output power, and the second optimization objective is to minimize the cable cost; The training module is further used to obtain an i-th variant wind turbine group population and an i-th variant booster station population according to the i-th wind turbine group layout and the i-th booster station layout; The training module is further used to obtain the i+1th wind farm population and the i+1th booster station population according to the i-th variant wind turbine population and the i-th variant booster station population; The training module is also used to obtain the Nth wind turbine layout and the Nth booster station layout and stop the optimization process when it is determined that the first optimization target and the second optimization target are achieved; wherein N is the total number of rounds.

[0014] In a third aspect, the present application provides a wind farm layout processing device, comprising a processor and a storage device, wherein the storage device is suitable for storing a plurality of program codes, and the program codes are suitable for being loaded and run by the processor to execute the method as described in any one of the first aspects.

[0015] In a fourth aspect, the present application provides a computer-readable storage medium having a plurality of program codes stored therein, wherein the program codes are suitable for being loaded and executed by a processor to execute the method as described in any one of the first aspects.

[0016] The present application provides a method, device, equipment and medium for processing wind farm layout. The method is specifically as follows: in each round, the i-th wind farm population and the i-th booster station population are obtained; wherein, when i is 1, it is the initial population of the wind farm and the initial population of the booster station; according to the first optimization goal and the second optimization goal, the i-th wind farm population and the i-th booster station population are optimized to obtain the i-th wind turbine layout and the i-th booster station layout; wherein, the first optimization goal is to maximize the total output power, and the second optimization goal is to minimize the cable cost; according to The i-th wind turbine layout and the i-th booster station layout obtain the i-th variant wind turbine population and the i-th variant booster station population; based on the i-th variant wind turbine population and the i-th variant booster station population, the i+1-th wind farm population and the i+1-th booster station population are obtained; when it is determined that the first optimization goal and the second optimization goal are achieved, the N-th wind turbine layout and the N-th booster station layout are obtained, and the optimization process is stopped; wherein N is the total rounds, and the obtained wind turbine layout and booster station layout simultaneously meet the maximization of power generation efficiency and the minimization of construction cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] 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 A schematic diagram of a flow chart of a first embodiment of a wind farm layout processing method provided in an embodiment of the present application; Figure 2 A schematic diagram of a flow chart of a second embodiment of a wind farm layout processing method provided in an embodiment of the present application; Figure 3 A schematic diagram of a flow chart of a third embodiment of a wind farm layout processing method provided in an embodiment of the present application; Figure 4 A schematic diagram of a flow chart of a fourth embodiment of a wind farm layout processing method provided in an embodiment of the present application; Figure 5 A schematic diagram of a flow chart of a fifth embodiment of a wind farm layout processing method provided in an embodiment of the present application; Figure 6 A schematic flow chart of a sixth embodiment of a wind farm layout processing method provided in an embodiment of the present application.

[0018] Figure 7 A schematic diagram of a flow chart of Embodiment 7 of a wind farm layout processing method provided in an embodiment of the present application; Figure 8 A schematic diagram of the structure of a wind farm layout processing device according to an embodiment of the present application; Fig. 9 This is a structural schematic diagram of a first embodiment of a wind farm layout processing device provided in an embodiment of the present application.

[0019] Reference numerals list : 11: acquisition module; 12: training module; 21: processor; 22: memory. DETAILED DESCRIPTION

[0020] 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.

[0021] 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.

[0022] In the prior art, after the installation area of ​​the wind turbine is determined, the wind resource conditions and terrain of the installation area are analyzed to obtain the layout of the wind turbine and the layout of the substation to obtain the maximum power generation efficiency. However, such a layout may result in the use of many cables, which in turn leads to the technical problem of high construction costs of the wind power system.

[0023] Based on this, in order to solve the above technical problems, the present application provides a wind farm layout processing method to achieve a reasonable layout of wind turbines and booster stations, thereby reducing the construction cost of the wind power system.

[0024] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0025] Figure 1 The following is a flow chart of a first embodiment of a wind farm layout processing method provided in the present application. Figure 1 As shown, specifically, the method includes: Step S101: in each round, the i-th wind farm population and the i-th booster station population are obtained.

[0026] In this embodiment, when i is 1, it is the initial population of the wind farm and the initial population of the booster station.

[0027] In this embodiment, an installation position can be assigned to each wind turbine according to the installation area and the number of wind turbines installed to obtain the layout of the wind turbines, and the position of the booster station can be obtained according to the layout of the wind turbines, thereby obtaining the initial population of booster stations.

[0028] Step S102: According to the first optimization target and the second optimization target, the i-th wind farm population and the i-th booster station population are optimized to obtain the i-th wind turbine group layout and the i-th booster station layout.

[0029] In this embodiment, the first optimization goal is to maximize the total output power, and the second optimization goal is to minimize the cable cost.

[0030] In this embodiment, the i-th wind farm population includes multiple wind turbine layouts, and the i-th substation population includes multiple substation layouts. Through the first optimization target and the second optimization target, the i-th wind turbine layout obtained is the optimal wind turbine layout in the i-th wind farm population, and the i-th substation layout obtained is the optimal wind turbine layout in the i-th substation population.

[0031] Step S103: according to the layout of the i-th wind turbine group and the layout of the i-th booster station, obtain the i-th variant wind turbine group population and the i-th variant booster station population.

[0032] In this embodiment, in the initial stage of optimization, a small-scale position change is adopted with a preset first probability and a large-scale position change is adopted with a preset second probability to obtain the i-th variant wind turbine group population and the i-th variant booster station population. In the later stage of optimization, only a small-scale position change is adopted to perform mutation processing on the i-th wind turbine group layout and the i-th booster station layout to obtain the i-th variant wind turbine group population and the i-th variant booster station population.

[0033] In this embodiment, for example, the large-scale position change is 2 / 3 times the rotor diameter of the wind turbine generator set, and the small-scale position change is 1 / 6 times the rotor diameter of the wind turbine generator set.

[0034] Step S104: obtaining the i+1th wind farm population and the i+1th booster station population according to the i-th variant wind turbine population and the i-th variant booster station population.

[0035] In this embodiment, the i+1th wind farm population and the i+1th booster station population are obtained by selecting the i-th variant wind turbine population and the i-th variant booster station population according to preset rules.

[0036] Optionally, the i-th variant wind turbine group population may be used as the i+1-th wind farm population, and the i-th variant booster station population may be used as the i+1-th booster station population.

[0037] Step S105: When it is determined that the first optimization target and the second optimization target are achieved, the Nth wind turbine layout and the Nth booster station layout are obtained, and the optimization process is stopped.

[0038] In this embodiment, N is the total number of rounds.

[0039] In this embodiment, when it is determined that the Nth wind turbine layout and the Nth booster station layout meet the first optimization target and the second optimization target, the optimization process is stopped.

[0040] In this embodiment, in each round, the i-th wind farm population and the i-th booster station population are obtained; according to the first optimization target and the second optimization target, the i-th wind farm population and the i-th booster station population are optimized to obtain the i-th wind turbine layout and the i-th booster station layout; according to the i-th wind turbine layout and the i-th booster station layout, the i-th variant wind turbine population and the i-th variant booster station population are obtained; according to the i-th variant wind turbine population and the i-th variant booster station population, the i+1-th wind farm population and the i+1-th booster station population are obtained; when it is determined that the first optimization target and the second optimization target are achieved, the N-th wind turbine layout and the N-th booster station layout are obtained, and the optimization process is stopped. Compared with the prior art, the wind turbines and booster stations are laid out according to maximizing the power generation efficiency, which leads to a wind power system. As for the high construction cost, the present application obtains the i-th wind farm population and the i-th substation population, and then optimizes the i-th wind farm population and the i-th substation population according to the first optimization target and the second optimization target to obtain the i-th wind turbine layout and the i-th substation layout, and then obtains the i-th variant wind turbine population and the i-th variant substation population based on the i-th wind turbine layout and the i-th substation layout, and then obtains the i+1-th wind farm population and the i+1-th substation population based on the i-th variant wind turbine population and the i-th variant substation population. When it is determined that the first optimization target and the second optimization target are achieved, the N-th wind turbine layout and the N-th substation layout are obtained, and the optimization process is stopped, so that the obtained wind turbine layout and substation layout simultaneously meet the maximum power generation efficiency and the minimum construction cost.

[0041] Figure 2 The following is a flow chart of a second embodiment of a wind farm layout processing method provided in the present application. Figure 2 As shown, specifically, obtaining the initial population of wind farms and the initial population of booster stations in step S101 includes: Step S201: Obtain the area of ​​the wind farm and the number of wind turbines.

[0042] In this embodiment, the region of the wind farm is the shape and area of ​​the wind farm.

[0043] In this embodiment, the designer has determined the number of wind turbines to be installed according to the area of ​​the wind farm.

[0044] Step S202: Obtain wind turbine rule variables according to the region and the number of wind turbines.

[0045] In this embodiment, for example, according to the region and the number of wind turbines, the region is divided according to the terrain, the region is divided into several small regions, and then the location of the wind turbines in each small region is obtained according to the wind conditions in the small regions.

[0046] Step S203: obtaining an initial population of the wind farm according to the wind turbine rule variables.

[0047] In this embodiment, the initial population of the wind farm includes multiple wind turbine layouts.

[0048] In this embodiment, a plurality of wind farm layouts are obtained according to the wind farm unit rule variables, and the plurality of wind farm layouts are combined to obtain an initial population of wind farms.

[0049] In this embodiment, the global center point coordinates are obtained according to the wind turbine rule variables and the wind farm area, and based on the global center point coordinates, a parallel line is obtained, and the parallel line has two intersections with the wind farm area. The two intersections are connected to obtain a straight line, and parallel lines are taken on both sides of the straight line to obtain a gradient parallel line set { },in, is the number of parallel lines. Then, from the line segment Starting point Departure, at a distance For r* Take a little As a line The starting point in the row, where For line segment Length. From point Starting from, take all the gradient point sets of this row on both sides { ∈ ,k=1,2,…, },in, For the line In other rows, according to the above method, the set of gradient points of all rows is { }, as the initial population of wind farms corresponding to the shape variables of the current row arrangement rule.

[0050] Step S204: Obtaining an initial layout of booster stations according to the initial population of the wind farm and preset constraints.

[0051] In this embodiment, the booster station is arranged between the wind turbines, and the initial layout of the booster station corresponding to each wind turbine layout is obtained according to the layout of each wind turbine in the initial population of the wind farm and preset constraints.

[0052] In this embodiment, for example, the preset constraint may be the number of wind turbines corresponding to one booster station.

[0053] Step S205: Obtaining an initial population of booster stations according to the initial layout of booster stations.

[0054] In this embodiment, the initial population of booster stations includes multiple booster station layouts.

[0055] In this embodiment, the initial layouts of booster stations are combined to obtain an initial population of booster stations.

[0056] In this embodiment, the area of ​​the wind farm and the number of wind turbines are obtained; based on the area and the number of wind turbines, the wind turbine rule variables are obtained; based on the wind turbine rule variables, the initial population of the wind farm is obtained; based on the initial population of the wind farm and preset constraints, the initial layout of the booster station is obtained; based on the initial layout of the booster station, the initial population of the booster station is obtained.

[0057] Figure 3 The following is a flow chart of a third embodiment of a wind farm layout processing method provided in the present application. Figure 3 As shown, specifically, a specific implementation of step S202 is: Step S301: Obtain the minimum spacing between wind turbines according to the region and the number of wind turbines.

[0058] In this embodiment, the region is a closed polygon surrounded by the vertices of the wind farm region. According to the closed polygon and the number of wind turbines, the minimum spacing between wind turbines is 4 times the diameter of the wind turbine rotors.

[0059] Step S302: Select a global center point in the region.

[0060] In this embodiment, a point is randomly selected in the area, and the coordinates of the point are the global center point.

[0061] Step S303: Obtaining the ratio of starting points within a line according to a first preset value range.

[0062] In this embodiment, according to the uniform probability distribution, a value is randomly selected within the first preset value range, and the value is the ratio of the starting points within the row.

[0063] In this embodiment, for example, the first preset value range is greater than or equal to 0 and less than 1.

[0064] Step S304: Obtaining the parallel line rotation angle according to a preset angle range.

[0065] In this embodiment, an angle is randomly selected within a preset angle range, and the angle is a parallel line rotation angle.

[0066] In this embodiment, for example, the preset angle range is greater than or equal to 0 degrees and less than 360 degrees.

[0067] Step S305: according to the minimum spacing of wind turbines, the minimum spacing between rows and the minimum spacing within a row are obtained.

[0068] In this embodiment, two values ​​are randomly selected within the range of the minimum spacing between wind turbine generator sets and four times the minimum spacing between wind turbine generator sets. The two values ​​are the minimum spacing between rows and the minimum spacing within a row, respectively.

[0069] Step S306: Obtaining a line spacing gradient coefficient according to a second preset value range.

[0070] In this embodiment, two values ​​are randomly selected from the second preset value range, and the two values ​​are line spacing gradient coefficients.

[0071] In this embodiment, for example, the second preset value range is greater than or equal to 0 and less than 1.

[0072] Step S307: Obtaining the intra-line spacing gradient coefficient according to the third preset value range.

[0073] In this embodiment, two values ​​are randomly selected from the third preset value range, and the two values ​​are the intra-line spacing gradient coefficients.

[0074] In this embodiment, for example, the third preset value range is greater than or equal to 0 and less than 1.

[0075] Step S308: Obtain wind turbine rule variables according to the global center point, the ratio of the starting points within a row, the parallel line rotation angle, the minimum spacing between rows, the minimum spacing within a row, the row spacing gradient coefficient and the intra-row spacing gradient coefficient.

[0076] In this embodiment, for example, the global center point, the ratio of the starting point in a row, the parallel line rotation angle, the minimum spacing between rows, the minimum spacing in a row, the row spacing gradient coefficient and the row spacing gradient coefficient are combined to obtain the wind turbine rule variable.

[0077] In this embodiment, for example, the wind turbine rule variables are (global center point, ratio of starting points within a row, parallel line rotation angle, minimum spacing between rows, minimum spacing within a row, row spacing gradient coefficient, and intra-row spacing gradient coefficient).

[0078] In this embodiment, the minimum spacing between wind turbines is obtained based on the area and the number of wind turbines; the global center point is selected in the area; the proportion of starting points in the row is obtained based on the first preset numerical range; the parallel line rotation angle is obtained based on the preset angle range; the minimum spacing between rows and the minimum spacing within a row are obtained based on the minimum spacing between wind turbines; the row spacing gradient coefficient is obtained based on the second preset numerical range; the row spacing gradient coefficient is obtained based on the third preset numerical range; the wind turbine rule variables are obtained based on the global center point, the proportion of starting points in the row, the parallel line rotation angle, the minimum spacing between rows, the minimum spacing within a row, the row spacing gradient coefficient and the row spacing gradient coefficient.

[0079] Figure 4 This is a flow chart of a fourth embodiment of a wind farm layout processing method provided in the present application. Figure 4 As shown, specifically, a specific implementation of step S204 is: Step S401: Obtaining a random layout of booster stations according to an initial population of wind farms and the area of ​​the wind farms.

[0080] In this embodiment, the number of booster stations is obtained according to the initial population of the wind farm, and coordinates of the number of booster stations are randomly obtained in the area of ​​the wind farm, and the coordinates of the number of booster stations are the random layout of the booster stations.

[0081] In this embodiment, the random layout of booster stations includes layouts of multiple booster stations.

[0082] Step S402: According to preset constraints, the random layout of the booster stations is screened to obtain an initial layout of the booster stations.

[0083] In this embodiment, multiple random layouts of booster stations are screened according to preset constraints to obtain an initial layout of the booster stations.

[0084] In this embodiment, for example, the preset constraint is the spacing between booster stations.

[0085] In this embodiment, a random layout of booster stations is obtained according to the initial population of wind farms and the area of ​​wind farms; and the random layout of booster stations is screened according to preset constraints to obtain an initial layout of booster stations.

[0086] Figure 5 The flowchart of the fifth embodiment of the wind farm layout processing method provided in the present application is as follows. Figure 5 Specifically, obtaining the total output power in step S102 includes: Step S501: obtaining the speed loss of the upstream wind turbine at multiple points on the rotor of the current wind turbine, the additional flow turbulence intensity of the upstream wind turbine of the current wind turbine at multiple points on the rotor of the current wind turbine and the ambient incoming wind speed.

[0087] Step S502: obtaining the inflow velocity loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine according to the velocity loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine.

[0088] In this embodiment, according to Formula 1: = (1) Get the inflow velocity loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine .in, is a binary variable, and when the i-th wind turbine is downstream of the j-th wind turbine, is 1, otherwise, is 0; N is the number of wind turbines; is the point of the upstream j-th wind turbine on the rotor of the current i-th wind turbine Speed ​​loss at the location.

[0089] Step S503: obtaining the inflow additional flow turbulence intensity at multiple points on the wind rotor of the current wind turbine group according to the additional flow turbulence intensity at multiple points on the wind rotor of the current wind turbine group of the upstream wind turbine group.

[0090] In this embodiment, according to Formula 2: (2) Get the current point on the rotor of the i-th unit The additional streamwise turbulence intensity at .in, is the point on the rotor of the i-th wind turbine group of the j-th wind turbine group The additional streamwise turbulence intensity at ; is a binary variable, and when the i-th wind turbine is downstream of the j-th wind turbine, is 1, otherwise, is 0; N is the number of wind turbines.

[0091] Step S504: according to the inflow velocity losses of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, the average inflow velocity losses of the multiple points on the wind rotor of the current wind turbine are obtained.

[0092] In this embodiment, the current inflow velocity of multiple points on the wind turbine rotor of the wind turbine generator set and the quotient of the point position are used to obtain the average inflow velocity loss of multiple points on the wind turbine rotor of the wind turbine generator set.

[0093] Step S505: Obtain the wind speed in front of the hub of the current wind turbine according to the ambient incoming wind speed and the average inflow speed loss of multiple points on the wind rotor of the current wind turbine.

[0094] In this embodiment, according to Formula 3: (3) Get the wind speed in front of the hub of the current i-th wind turbine .in, is the ambient wind speed; It is the average inflow velocity loss at multiple points on the wind turbine rotor.

[0095] Step S506: according to the additional flow turbulence intensity of the inflow at multiple points on the wind rotor of the current wind turbine and the wind speed in front of the hub of the current wind turbine, the wind speed in front of the hub of the wind turbine and the power curve of the wind turbine are obtained.

[0096] In this embodiment, when the wind speed and wind direction angle are determined, the wind speed in front of the hub of the wind turbine and the power curve of the wind turbine are obtained according to the additional flow turbulence intensity of the inflow at multiple points on the wind rotor of the current wind turbine and the wind speed in front of the hub of the current wind turbine.

[0097] In this embodiment, the power curve of the wind turbine generator set is the corresponding relationship between the wind speed in front of the hub and the output power of the wind turbine generator set.

[0098] Step S507: Obtain the total output power according to the output power of the wind turbine generator set, the frequency of occurrence of wind conditions, the number of wind directions, the number of wind speed ranges and the number of turbines.

[0099] In this embodiment, according to Formula 4: (4) Get the total output power .in, is the wind speed; for wind direction; For wind speed and wind direction Wind conditions under is the wind turbine i in wind condition Output power under For wind conditions Frequency of occurrence; is the number of wind directions, is the number of wind speed segments taken in a single wind direction; N is the number of wind turbines.

[0100] In this embodiment, the velocity loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, the additional flow turbulence intensity of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, and the ambient incoming wind speed are obtained; according to the velocity loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, the inflow velocity loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine is obtained; according to the additional flow turbulence intensity of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, the inflow additional flow turbulence intensity of multiple points on the wind rotor of the current wind turbine is obtained; according to the upstream wind turbine The inflow velocity loss of the wind turbine at multiple points on the wind rotor of the current wind turbine is used to obtain the average inflow velocity loss at multiple points on the wind rotor of the current wind turbine; the wind speed in front of the hub of the current wind turbine is obtained according to the ambient incoming wind speed and the average inflow velocity loss at multiple points on the wind rotor of the current wind turbine; the wind speed in front of the hub of the wind turbine and the power curve of the wind turbine are obtained according to the inflow additional flow turbulence intensity at multiple points on the wind rotor of the current wind turbine and the wind speed in front of the hub of the current wind turbine; the total output power is obtained according to the output power of the wind turbine, the frequency of occurrence of wind conditions, the number of wind directions, the number of wind speed segments and the number of units.

[0101] Figure 6 This is a flow chart of a sixth embodiment of a wind farm layout processing method provided in the present application. Figure 6 As shown, specifically, obtaining the cable cost in step S102 includes: Step S601: According to the position of the booster station in the initial population of booster stations and the preset coastline position, the coast point closest to the booster station is obtained, and the coast point is used as the feeder cable node.

[0102] In this embodiment, the straight-line distance between the booster station and the coastline is the shortest. Therefore, a straight line is drawn between the booster station and the coastline. The straight line is perpendicular to the coastline. The intersection of the straight line and the coastline is the coast point, which is the feeder cable node.

[0103] Step S602: Obtain a cable cost model according to the feeder cable nodes and the wind turbine generator set locations.

[0104] In this embodiment, a cable cost model is constructed according to feeder cable nodes and wind turbine generator set locations.

[0105] Step S603: Obtain the cable cost according to the cable cost model.

[0106] In this embodiment, according to Formula 5: (5) Get the cable cost Cost. Among them, is the unit price of the cable; is the Euclidean distance between point i and point j; sf is the safety factor; when type c cable is used between point i and point j, is 1 if the value is true, otherwise it is 0.

[0107] In this embodiment, according to the cable cost model, the data of the wind farm is substituted into the cable cost model to obtain the cable cost.

[0108] In this embodiment, based on the position of the booster station in the initial population of booster stations and the preset coastline position, the coast point closest to the booster station is obtained, and the coast point is used as the feeder cable node; based on the feeder cable node and the position of the wind turbine, a cable cost model is obtained; based on the cable cost model, the cable cost is obtained.

[0109] Figure 7 The following is a flow chart of Embodiment 7 of a wind farm layout processing method provided in the present application. Figure 7 As shown, specifically, a specific implementation of step S602 is: Step S701: Obtaining a path layout according to the wind turbine position and feeder cable nodes.

[0110] In this embodiment, the connection relationship between wind turbines and the connection relationship between wind turbines and feeder nodes are obtained according to the positions of wind turbines and feeder cable nodes, and then the path layout is obtained according to these two connection relationships.

[0111] Step S702: According to preset constraint conditions, the path layout is constrained to obtain a constrained path layout.

[0112] In this embodiment, the path layout is constrained according to preset constraint conditions to obtain a constrained path layout.

[0113] In this embodiment, for example, the preset constraint conditions are the safety distance between wind turbines and the area of ​​the wind farm.

[0114] Step S703: Obtain a cable cost model according to the constraint path layout, wind turbine location and cable information.

[0115] In this embodiment, the cable layout in the wind farm is obtained according to the constraint path layout and the location of the wind turbines, and the cable cost model is obtained according to the cable layout and the cable information.

[0116] In this embodiment, a path layout is obtained according to the wind turbine location and the feeder cable nodes; the path layout is constrained according to preset constraints to obtain a constrained path layout; and a cable cost model is obtained according to the constrained path layout, the wind turbine location and the cable information.

[0117] It should be pointed out that although the various steps in the above embodiments are described in a specific order, 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. They can be performed simultaneously (in parallel) or in other orders. These changes are within the scope of protection of the present application.

[0118] Furthermore, the present application also provides a wind farm layout processing device.

[0119] Figure 8 A schematic diagram of a wind farm layout processing device provided in an embodiment of the present application. Figure 8 As shown, the device in the embodiment of the present application mainly includes an acquisition module 11 and a training module 12. In some embodiments, one or more of the acquisition module 11 and the training module 12 can be combined into one module. In some embodiments, the acquisition module 11 can be configured to acquire the i-th wind farm population and the i-th booster station population in each round; wherein, when i is 1, it is the initial population of the wind farm and the initial population of the booster station. The training module 12 can be configured to optimize the i-th wind farm population and the i-th booster station population according to the first optimization goal and the second optimization goal to obtain the i-th wind turbine layout and the i-th booster station layout; wherein, the first optimization goal is to maximize the total output power, and the second optimization goal is to minimize the cable cost. The training module 12 can also be configured to obtain the i-th variant wind turbine population and the i-th variant booster station population according to the i-th wind turbine layout and the i-th booster station layout. The training module 12 may also be configured to obtain the i+1th wind farm population and the i+1th booster station population according to the i-th variant wind turbine population and the i-th variant booster station population. The training module 12 may also be configured to obtain the N-th wind turbine layout and the N-th booster station layout and stop the optimization process when it is determined that the first optimization target and the second optimization target are achieved; wherein N is the total number of rounds.

[0120] The wind farm layout processing device is used to execute Figure 1 The wind farm layout processing 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 layout processing device can refer to the contents described in the embodiment of the wind farm layout processing method, which will not be repeated here.

[0121] 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. When the computer program is executed by the processor, the steps of each of the above-mentioned method embodiments can be implemented. 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, electric carrier signal, telecommunication signal and software distribution medium that can carry the computer program code. It should be noted that the content contained in the computer-readable storage medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable storage media do not include electric carrier signals and telecommunication signals.

[0122] Furthermore, the present application also provides a wind farm layout processing device.

[0123] Fig. 9 This is a schematic diagram of the structure of a wind farm layout processing device embodiment 1 provided in the present application. Fig. 9 As shown, the wind farm layout processing device includes at least one processor 21 and a memory 22. The memory 22 can be configured to store and execute the above Figures 1 to 7 The program of the wind farm layout processing method of the embodiment shown, the processor 21 can be configured to execute the program in the memory 22, the program including but not limited to executing a program of a wind farm layout processing method of the above method embodiment. For ease of explanation, only the part related to the embodiment of the present application is shown. For specific technical details not disclosed, please refer to the method part of the embodiment of the present application. The wind farm layout processing device can be a control device device formed by various electronic devices.

[0124] 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 layout processing 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 layout processing 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.

[0125] 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.

[0126] 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.

[0127] 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 wind farm layout processing method, characterized in that: include: In each round, the i-th wind farm population and the i-th booster station population are obtained; when i is 1, it is the initial population of the wind farm and the initial population of the booster station; According to the first optimization goal and the second optimization goal, the i-th wind farm population and the i-th booster station population are optimized to obtain the i-th wind turbine layout and the i-th booster station layout; wherein the first optimization goal is to maximize the total output power, and the second optimization goal is to minimize the cable cost; According to the i-th wind turbine group layout and the i-th booster station layout, obtaining the i-th variant wind turbine group population and the i-th variant booster station population; According to the i-th variant wind turbine population and the i-th variant booster station population, an i+1-th wind farm population and an i+1-th booster station population are obtained; When it is determined that the first optimization target and the second optimization target are achieved, the Nth wind turbine layout and the Nth booster station layout are obtained, and the optimization process is stopped; wherein N is the total number of rounds.

2. The method according to claim 1, characterized in that Acquiring the initial population of the wind farm and the initial population of the booster station includes: Get the area and number of wind turbines in the wind farm; Obtaining a wind turbine rule variable according to the region and the number of wind turbines; According to the wind turbine rule variables, the initial population of the wind farm is obtained; wherein the initial population of the wind farm includes a plurality of wind turbine layouts; According to the initial population of the wind farm and preset constraints, an initial layout of the booster station is obtained; According to the initial layout of the booster stations, the initial population of booster stations is obtained; wherein the initial population of booster stations includes a plurality of booster station layouts.

3. The method according to claim 2, characterized in that The step of obtaining a wind turbine rule variable according to the region and the number of wind turbines includes: According to the area and the number of wind turbines, a minimum spacing between wind turbines is obtained; Selecting a global center point within the region; According to the first preset value range, the ratio of the starting points in the line is obtained; According to the preset angle range, the parallel line rotation angle is obtained; According to the minimum spacing of the wind turbine generator sets, a minimum spacing between rows and a minimum spacing within a row are obtained; According to the second preset value range, a line spacing gradient coefficient is obtained; According to the third preset value range, obtaining the intra-line spacing gradient coefficient; According to the global center point, the ratio of the starting points within a row, the rotation angle of parallel lines, the minimum spacing between rows, the minimum spacing within a row, the row spacing gradient coefficient and the row spacing gradient coefficient, the wind turbine rule variables are obtained.

4. The method according to claim 2, characterized in that: The step of obtaining the initial layout of the booster stations according to the initial population of the wind farm and the preset constraints includes: Obtaining a random layout of booster stations according to the initial population of the wind farm and the area of ​​the wind farm; According to the preset constraints, the random layout of the booster stations is screened to obtain the initial layout of the booster stations.

5. The method according to claim 1, characterized in that: The total output power is obtained, comprising: Obtaining the speed loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, the additional flow turbulence intensity of the upstream wind turbine of the current wind turbine at multiple points on the wind rotor of the current wind turbine, and the ambient incoming wind speed; According to the speed loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, the inflow speed loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine is obtained; According to the additional flow turbulence intensity of the upstream wind turbine group of the current wind turbine group at multiple points on the wind rotor of the current wind turbine group, obtaining the additional flow turbulence intensity of the inflow at multiple points on the wind rotor of the current wind turbine group; According to the inflow velocity loss of the upstream wind turbine at multiple points on the wind rotor of the current wind turbine, the average inflow velocity loss of multiple points on the wind rotor of the current wind turbine is obtained; Obtaining the wind speed in front of the hub of the current wind turbine according to the ambient incoming wind speed and the average inflow speed loss of multiple points on the wind rotor of the current wind turbine; According to the additional flow turbulence intensity of the inflow at multiple points on the wind rotor of the current wind turbine generator set and the wind speed in front of the hub of the current wind turbine generator set, the wind speed in front of the hub of the wind turbine generator set and the power curve of the wind turbine generator set are obtained; The total output power is obtained based on the output power of the wind turbines, the frequency of wind conditions, the number of wind directions, the number of wind speed ranges and the number of turbines.

6. The method according to claim 1, characterized in that Get the cable cost, including: According to the position of the booster station in the initial population of booster stations and the preset coastline position, the coast point closest to the booster station is obtained, and the coast point is used as a feeder cable node; According to the feeder cable nodes and wind turbine group locations, a cable cost model is obtained; The cable cost is obtained according to the cable cost model.

7. The method according to claim 6, characterized in that The cable cost model is obtained according to the feeder cable node and the wind turbine group position, including: Obtaining a path layout according to the wind turbine position and the feeder cable node; According to preset constraint conditions, the path layout is subjected to constraint processing to obtain a constrained path layout; A cable cost model is obtained according to the constraint path layout, the wind turbine location and the cable information.

8. A wind farm layout processing device, characterized in that: include: An acquisition module is used to acquire the i-th wind farm population and the i-th booster station population in each round; wherein, when i is 1, it is the initial population of the wind farm and the initial population of the booster station; A training module, configured to optimize the i-th wind farm population and the i-th booster station population according to a first optimization objective and a second optimization objective, so as to obtain an i-th wind turbine group layout and an i-th booster station layout; wherein the first optimization objective is to maximize the total output power, and the second optimization objective is to minimize the cable cost; The training module is further used to obtain an i-th variant wind turbine group population and an i-th variant booster station population according to the i-th wind turbine group layout and the i-th booster station layout; The training module is further used to obtain the i+1th wind farm population and the i+1th booster station population according to the i-th variant wind turbine population and the i-th variant booster station population; The training module is also used to obtain the Nth wind turbine layout and the Nth booster station layout and stop the optimization process when it is determined that the first optimization target and the second optimization target are achieved; wherein N is the total number of rounds.

9. A wind farm layout processing 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 executed by the processor to perform the method of 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 executed by a processor to execute the method according to any one of claims 1 to 7.

Images