Mountain wind power plant booster station site selection method and system

Abstract

The invention belongs to the technical field of wind power generation. According to the mountain wind power plant booster station site selection method and system, a digital elevation model is established according to a wind power plant boundary range, determined wind turbine sites and site selection limiting factors, and booster station alternative sites in a mountain wind power plant area are drawn out according to the digital elevation model; calculating the earthwork weighted cost and the road weighted cost of each booster station alternative site, taking the sum of the earthwork weighted cost and the road weighted cost of the alternative sites as the total cost, and taking the alternative site with the lowest total cost as the final mountain wind power plant booster station site selection result; according to the method, the wind power plant capacity, booster station site selection limiting factors, engineering earthwork weighted calculation, total distance calculation and other factors are comprehensively considered, the optimal scheme of the mountain wind power plant booster station is obtained, the existing situation that site selection of the booster station is analyzed according to experience of technicians can be changed, and the method has good application prospects in actual engineering.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and in particular to a method for selecting a site for a booster station in a mountain wind farm, a system for selecting a site for a booster station in a mountain wind farm, a computer device, a computer-readable storage medium and a computer program product. Background Art

[0002] The statements in this section merely provide background art related to the present invention and do not necessarily constitute prior art.

[0003] A wind farm booster station is a facility that increases the output voltage of a wind turbine to a higher voltage level and sends it out. This facility plays a vital role in a wind farm, mainly solving the problem that the voltage level of wind farm power generation is low and it is difficult to directly connect to the power grid. The site selection of a mountain wind farm booster station is a complex and critical process that requires comprehensive consideration of multiple factors to ensure the economic, safety and feasibility of the project.

[0004] Traditionally, the site selection of booster stations in mountainous wind farms is mainly done by technicians who rely on engineering experience and project requirements to conduct a comprehensive analysis of terrain conditions, and use geographic map information such as contour lines and roads to derive alternative site selection plans for booster stations. Although this method can fully consider various constraints to derive a relatively reasonable site selection plan for booster stations in mountainous wind farms, it still has problems such as long time consumption and lack of unified standards, which affect the efficiency of mountainous wind farm development. Summary of the invention

[0005] In order to address the deficiencies of the prior art, the present invention provides a method and system for selecting a site for a mountain wind farm substation, which comprehensively considers factors such as wind farm capacity, limiting factors and construction workload, and efficiently optimizes the site selection plan for a mountain wind farm substation.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: In a first aspect, the present invention provides a method for selecting a site for a booster station in a mountain wind farm.

[0007] A method for selecting a site for a booster station in a mountainous wind farm includes the following steps: Establishing a digital elevation model based on the boundary range of the wind farm, the determined wind turbine locations and the site selection constraints, and delineating the candidate sites of the booster station in the mountainous wind farm area based on the digital elevation model; Connect adjacent three-dimensional coordinates on the digital elevation model to generate multiple triangular pyramids, calculate the earthwork excavation volume of each triangular pyramid, and superimpose to obtain the earthwork volume of each candidate site of the mountain wind farm at the design elevation, use the earthwork weighting factor to correct the earthwork volume of the candidate site of the booster station, and obtain the final earthwork volume of each candidate site, and obtain the weighted earthwork cost of each candidate site according to the earthwork volume of each candidate site; According to the digital elevation model, a fitting point that meets the conditions is automatically selected from two points that need to be calculated for distance, the total distance between the candidate site and each unit is calculated using the distance fitting method, and the weighted road cost of each candidate site is calculated according to the weighted road cost coefficient and the total distance; The total cost is determined by taking the sum of the weighted earthwork cost and the weighted road cost of the candidate sites, and the candidate site with the lowest total cost is selected as the final site selection result for the mountain wind farm substation.

[0008] As a further limitation of the first aspect of the present invention, the earthwork weighting factor is the product of the terrain factor, the site factor, the engineering factor and the environmental factor.

[0009] As a further limitation of the first aspect of the present invention, the site selection restriction factors include: wind farm terrain conditions, wind farm geological conditions, wind farm hydrological conditions, wind farm meteorological conditions, wind farm sensitive areas, policy conditions and transportation conditions.

[0010] As a further limitation of the first aspect of the present invention, a fitting point that meets the conditions is automatically selected from two points that need to be distance calculated, and the fitting distance between any two points A and B is the distance between the two points multiplied by the distance fitting coefficient.

[0011] As a further limitation of the first aspect of the present invention, the weighted cost of the road is: ,in, , qi For the i Weighted cost coefficient of road section; Li For the i Distance of road section; αi For the i The terrain cost coefficient of the road section; βi is the cost coefficient of the slope of the i-th section of road; γi For the i Cost coefficient of road curvature; c is the base road cost coefficient; ei For the i Earthwork cost coefficient for road section.

[0012] As a further limitation of the first aspect of the present invention, the weighted earthwork cost includes: excavation cost, backfill cost, construction waste disposal fee and taxes, and the excavation cost and backfill cost are calculated by multiplying the earthwork volume of the alternative site by the corresponding unit price.

[0013] In a second aspect, the present invention provides a system for selecting a site for a booster station in a mountain wind farm.

[0014] A mountain wind farm booster station site selection system, comprising: The candidate site generation unit is configured to: establish a digital elevation model according to the boundary range of the wind farm, the determined wind turbine machine site and the site selection restriction factors, and delineate the candidate site of the booster station in the mountainous wind farm area according to the digital elevation model; The earthwork weighted cost calculation unit is configured to: connect adjacent three-dimensional coordinates on the digital elevation model to generate a plurality of triangular pyramids, calculate the earthwork excavation volume of each triangular pyramid, superimpose to obtain the earthwork volume of each candidate site of the mountain wind farm at the design elevation, use the earthwork weighting factor to correct the earthwork volume of the candidate site of the booster station, obtain the final earthwork volume of each candidate site, and obtain the weighted earthwork cost of each candidate site according to the earthwork volume of each candidate site; The road weighted cost calculation unit is configured to: automatically select a fitting point that meets the conditions from two points that need to be distance calculated according to the digital elevation model, calculate the total distance between the candidate site and each unit by using the distance fitting method, and calculate the road weighted cost of each candidate site according to the road weighted cost coefficient and the total distance; The optimal site selection result generating unit is configured to: take the sum of the weighted earthwork cost and the weighted road cost of the alternative sites as the total cost, and take the alternative site with the lowest total cost as the final site selection result for the mountain wind farm substation.

[0015] In a third aspect, the present invention provides a computer device, comprising: a processor and a computer-readable storage medium; a processor adapted to execute a computer program; A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the method for selecting a site for a booster station in a mountain wind farm as described in the first aspect of the present invention is implemented.

[0016] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, wherein the computer program is suitable for being loaded by a processor and executing the method for site selection of a substation in a mountain wind farm as described in the first aspect of the present invention.

[0017] In a fifth aspect, the present invention provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the method for selecting a site for a substation in a mountain wind farm as described in the first aspect of the present invention.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention comprehensively considers the site selection requirements of the booster station in the mountain wind farm, optimizes the alternative plans for the site selection of the booster station, considers the earthwork weighted algorithm, the total length of the booster station from each unit, and optimizes the site selection plan of the booster station in the mountain wind farm by comparing the total cost.

[0019] 2. The present invention comprehensively considers factors such as wind farm capacity, booster station site selection constraints, engineering earthwork weighted calculation, total distance calculation, etc. to obtain the optimal solution for the booster station in the mountain wind farm, which helps to change the existing situation of relying on technical personnel's experience to analyze the site selection of the booster station, and has good application prospects in actual engineering.

[0020] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0022] Figure 1 A schematic diagram of a process for selecting a site for a booster station in a mountainous wind farm provided in Example 1 of the present invention; Figure 2 A schematic diagram of a site selection system for a booster station in a mountain wind farm provided in Example 2 of the present invention; Figure 3 A schematic diagram of a computer device provided in Example 3 of the present invention. DETAILED DESCRIPTION

[0023] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0024] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0025] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0026] Embodiment 1: As described in the background technology, in actual processes, the site selection of a booster station in a mountain wind farm is restricted by factors such as the capacity of the wind farm and the terrain conditions of the site. This implementation method starts from the actual conditions and, in accordance with relevant regulations, provides a site selection method for a booster station in a mountain wind farm. The geometric dimensions of the booster station are determined by the capacity of the wind farm, and alternative site selection schemes for the booster station are proposed in accordance with the sensitive areas of the wind farm and the terrain restrictions within the site. This implementation method optimizes the alternative site selection schemes for the booster station, takes into account the weighted earthwork algorithm and the total length of the booster station from each unit, and optimizes the site selection scheme for the booster station in the mountain wind farm by comparing the total construction cost.

[0027] Specifically, the method for selecting a site for a booster station in a mountainous wind farm includes the following steps: Step 1: Determine the capacity and geometric dimensions of the booster station in a mountain wind farm. Generally, the capacity of the booster station in a wind farm is equal to the total capacity of the wind turbines connected to it. However, due to factors such as manufacturing specifications and expansion requirements, the design capacity of the booster station is often greater than the installed capacity of the wind farm. In this implementation, it is necessary to determine the capacity of the booster station transformer and land use indicators according to the capacity of the wind farm in accordance with relevant regulations. Here, the power consumption indicator table of a single wind turbine substation specified in the "Construction Land Standards for Wind Power Projects in ***" (Table 1) is taken as an example.

[0028] Table 1: Electricity consumption index table of substation for a single wind turbine.

[0029]

[0030] Step 2: Determine the limiting factors for the site selection of the mountain wind farm booster station. When selecting the site for the mountain wind farm booster station, it may be affected by a variety of limiting factors. This implementation method takes into account the influence of a variety of limiting factors, including whether there are sensitive areas and whether the terrain is flat. The limiting factors for the site selection of the mountain wind farm booster station considered in this implementation method are shown in Table 2.

[0031] Table 2: Limiting factors for site selection of booster stations in mountainous wind farms.

[0032]

[0033] Step 3: Determine the alternative site for the mountain wind farm booster station.

[0034] This implementation method comprehensively considers the boundary range of the wind farm, the determined machine site and various limiting factors of step 2, and establishes a digital elevation model (DEM) through a geographic satellite system or actual measurement. The DEM model is a kind of ordered numerical array ( x , y , z ) A solid ground model that characterizes the terrain elevation characteristics can effectively reflect the local terrain characteristics of a certain resolution and extract a variety of terrain surface features. Based on the model, the sites where booster stations are more suitable for building booster stations in the mountain wind farm area are delineated, and multiple alternative sites for booster stations in mountain wind farms are determined.

[0035] Step 4: Optimize the site selection of the booster station in the mountain wind farm.

[0036] The site selection optimization process mainly includes the comparison of earthwork volume and distance engineering volume of the alternative sites. This implementation method designs a weighted earthwork algorithm for the substation. Considering the possible complex terrain conditions in the mountains, the earthwork weighted algorithm mainly adopts the digital ground model method. Through the existing model three-dimensional coordinates (x , y , z ) Adjacent coordinate points are connected to generate a triangulated network to calculate the earthwork excavation volume of each triangular pyramid. The earthwork excavation volume of each triangular pyramid calculated by the software is superimposed to obtain the earthwork volume of the alternative site for the mountain wind farm booster station at the design elevation. Considering the influence of actual engineering factors, it is necessary to use the earthwork weighting factor to correct the calculation results. The earthwork weighting factor of this implementation method is mainly determined by terrain, environmental conditions, engineering requirements, and site factors.

[0037] (1); In the formula, e is the earthwork weighting factor; T is the terrain factor, which reflects the influence of different terrain characteristics on the earthwork volume estimation; S is the site factor, reflecting the influence of site factors such as soil type and soil quality; E It is the engineering factor, which reflects the influence of the actual conditions of the project on the earthwork estimate; En It is an environmental factor, which reflects the impact of environmental factors such as temperature and rainfall on earthwork estimation.

[0038] This implementation method establishes a weighted earthwork cost model based on the weighted earthwork algorithm of the substation. The weighted earthwork cost is mainly composed of the total excavation price, the total backfill price, the construction waste removal fee, taxes, etc. Among them, the total excavation price, the total backfill price and other items can be calculated by multiplying the corresponding earthwork volume obtained by the weighted earthwork algorithm with the corresponding unit price. The prices of other items can be obtained according to the actual construction site.

[0039] This implementation method designs a distance fitting method to calculate the distance engineering quantity. This method mainly uses the established DEM model to fit the calculation points of the distance engineering quantity. In order to improve the accuracy of the calculation, the fitting points that meet the conditions are automatically selected from the two points where the distance calculation is required, and the longer road engineering is fitted into a combination of multiple shorter roads. Taking the road A and G points to be calculated as an example, the fitting points B, C, D, E, and F are inserted in the road calculation process, and the distance calculation of road AE is converted into the sum of the distances of AB, BC, CD, DE, and EF. At the same time, considering the impact of model accuracy on the distance fitting results, the distance fitting coefficient is added for correction. The fitting distance calculation formula between any two is as follows: (2); In the formula, xA , yA,zA are the ordered numerical arrays of the DEM model of point A, xB , yB, zB They are the ordered numerical arrays of the DEM model of point B; l is the distance fitting coefficient.

[0040] This implementation method uses the distance fitting method to calculate the total distance between the booster station site and each unit. To meet the actual project requirements, the distance between the booster station site and each unit should be less than the longest connection distance of the corresponding collector line. On this basis, the road cost is determined by the road weighted cost coefficient and the road distance. The road weighted cost coefficient is the unit distance construction cost of the local road. Considering factors such as land acquisition cost, construction conditions, design cost, labor cost, and material cost, this implementation method sets a benchmark road cost coefficient to reflect the local road construction benchmark cost at the wind farm booster station site. Taking into account the different construction conditions of each section of road, the benchmark road cost coefficient is corrected to determine the road weight for each section of road. According to the distance engineering quantity calculation, this implementation method establishes a road weighted cost model: (3); (4); In the formula, Q Add weighted cost to roads; qi For the i Weighted cost coefficient of road section; Li For the i Distance of road section; αi For the i The terrain cost coefficient of the road section; βi is the slope cost coefficient of the i-th section of road; γi For the i Cost coefficient of road curvature; c is the base road cost coefficient; ei For the i Earthwork cost coefficient for road section.

[0041] On this basis, this implementation method establishes the optimization processing of alternative plans. This implementation method calculates the total cost according to the weighted earthwork cost model and the weighted road construction cost model, and calculates the unit kilometer cost price according to the ratio of the total cost to the distance engineering volume. Finally, according to the comparison of the total cost, the plan with the lowest total cost is selected as the recommended optimal plan.

[0042] The present invention comprehensively considers the site selection requirements for the booster station in a mountain wind farm, and proposes a site selection method for the booster station in a mountain wind farm, which helps to change the existing situation of relying on the experience of technical personnel to analyze the site selection of the booster station. It comprehensively considers factors such as wind farm capacity, booster station site selection restrictions, engineering earthwork weighted calculation, total distance calculation, etc., to obtain the optimal solution for the booster station in the mountain wind farm, and has good application prospects in actual engineering.

[0043] Embodiment 2: like Figure 2 As shown, this implementation provides a mountain wind farm booster station site selection system, including: The candidate site generation unit is configured to: establish a digital elevation model according to the boundary range of the wind farm, the determined wind turbine machine site and the site selection restriction factors, and delineate the candidate site of the booster station in the mountainous wind farm area according to the digital elevation model; The earthwork weighted cost calculation unit is configured to: connect adjacent three-dimensional coordinates on the digital elevation model to generate a plurality of triangular pyramids, calculate the earthwork excavation volume of each triangular pyramid, superimpose to obtain the earthwork volume of each candidate site of the mountain wind farm at the design elevation, use the earthwork weighting factor to correct the earthwork volume of the candidate site of the booster station, obtain the final earthwork volume of each candidate site, and obtain the weighted earthwork cost of each candidate site according to the earthwork volume of each candidate site; The road weighted cost calculation unit is configured to: automatically select a fitting point that meets the conditions from two points that need to be distance calculated according to the digital elevation model, calculate the total distance between the candidate site and each unit by using the distance fitting method, and calculate the road weighted cost of each candidate site according to the road weighted cost coefficient and the total distance; The optimal site selection result generating unit is configured to: take the sum of the weighted earthwork cost and the weighted road cost of the alternative sites as the total cost, and take the alternative site with the lowest total cost as the final site selection result for the mountain wind farm substation.

[0044] The specific working methods of the above-mentioned units are described in Example 1 and will not be repeated here.

[0045] It is understandable that the above-mentioned units can be separately or completely combined into one or several other units to constitute, or some of the units can be further divided into multiple functionally smaller units to constitute, which can achieve the same operation without affecting the realization of the technical effects of the embodiments of the present application. The above-mentioned units are divided based on logical functions. In actual applications, the function of one unit can also be implemented by multiple units, or the functions of multiple units can be implemented by one unit. In other embodiments of the present application, the mountain wind farm booster station site selection system can also include other units. In actual applications, these functions can also be implemented with the assistance of other units, and can be implemented by the collaboration of multiple units.

[0046] According to another embodiment of the present application, the system described in this embodiment can be constructed, and the method for selecting a site for a substation in a mountain wind farm according to an embodiment of the present application can be implemented by running a computer program (including program code) capable of executing the steps involved in the corresponding method described in Example 1 on a general-purpose computing device such as a computer, which includes processing elements and storage elements such as a central processing unit (CPU), random access memory (RAM), and read-only memory (ROM). The computer program can be recorded on, for example, a computer-readable recording medium, and loaded into the above-mentioned computing device through the computer-readable recording medium, and run therein.

[0047] Embodiment 3: like Figure 3 As shown, this implementation provides an electronic device, which includes a processor 1001, a communication interface 1002, and a computer-readable storage medium 1003. The processor 1001, the communication interface 1002, and the computer-readable storage medium 1003 may be connected via a bus or other means.

[0048] Among them, the communication interface 1002 is used to receive and send data, the computer-readable storage medium 1003 can be stored in the memory of the electronic device, the computer-readable storage medium 1003 is used to store a computer program, the computer program includes program instructions, and the processor 1001 is used to execute the program instructions stored in the computer-readable storage medium 1003.

[0049] The processor 1001 (or CPU (Central Processing Unit)) is the computing core and control core of the electronic device, which is suitable for implementing one or more instructions, and specifically suitable for loading and executing one or more instructions to implement corresponding method processes or corresponding functions.

[0050] The processor 1001 is configured to execute the following process: Establishing a digital elevation model based on the boundary range of the wind farm, the determined wind turbine locations and the site selection constraints, and delineating the candidate sites of the booster station in the mountainous wind farm area based on the digital elevation model; Connect adjacent three-dimensional coordinates on the digital elevation model to generate multiple triangular pyramids, calculate the earthwork excavation volume of each triangular pyramid, and superimpose to obtain the earthwork volume of each candidate site of the mountain wind farm at the design elevation, use the earthwork weighting factor to correct the earthwork volume of the candidate site of the booster station, and obtain the final earthwork volume of each candidate site, and obtain the weighted earthwork cost of each candidate site according to the earthwork volume of each candidate site; According to the digital elevation model, a fitting point that meets the conditions is automatically selected from two points that need to be calculated for distance, the total distance between the candidate site and each unit is calculated using the distance fitting method, and the weighted road cost of each candidate site is calculated according to the weighted road cost coefficient and the total distance; The total cost is determined by taking the sum of the weighted earthwork cost and the weighted road cost of the candidate sites, and the candidate site with the lowest total cost is selected as the final site selection result for the mountain wind farm substation.

[0051] The specific working method is described in Example 1 and will not be repeated here.

[0052] Embodiment 4: This implementation provides a computer-readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in the electronic device and, of course, extended storage media supported by the electronic device. The computer-readable storage medium provides a storage space that stores the processing system of the electronic device.

[0053] In addition, the storage space also stores one or more instructions suitable for being loaded and executed by the processor, and these instructions may be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here may be a high-speed RAM memory, or a non-volatile memory, such as at least one disk memory; optionally, it may also be at least one computer-readable storage medium located away from the aforementioned processor.

[0054] In one embodiment, the computer-readable storage medium stores one or more instructions; the processor loads and executes the one or more instructions stored in the computer-readable storage medium to implement the following process: Establishing a digital elevation model based on the boundary range of the wind farm, the determined wind turbine locations and the site selection constraints, and delineating the candidate sites of the booster station in the mountainous wind farm area based on the digital elevation model; Connect adjacent three-dimensional coordinates on the digital elevation model to generate multiple triangular pyramids, calculate the earthwork excavation volume of each triangular pyramid, and superimpose to obtain the earthwork volume of each candidate site of the mountain wind farm at the design elevation, use the earthwork weighting factor to correct the earthwork volume of the candidate site of the booster station, and obtain the final earthwork volume of each candidate site, and obtain the weighted earthwork cost of each candidate site according to the earthwork volume of each candidate site; According to the digital elevation model, a fitting point that meets the conditions is automatically selected from two points that need to be calculated for distance, the total distance between the candidate site and each unit is calculated using the distance fitting method, and the weighted road cost of each candidate site is calculated according to the weighted road cost coefficient and the total distance; The total cost is determined by taking the sum of the weighted earthwork cost and the weighted road cost of the candidate sites, and the candidate site with the lowest total cost is selected as the final site selection result for the mountain wind farm substation.

[0055] The specific working method is described in Example 1 and will not be repeated here.

[0056] Embodiment 5: The present implementation provides a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device performs the following process: Establishing a digital elevation model based on the boundary range of the wind farm, the determined wind turbine locations and the site selection constraints, and delineating the candidate sites of the booster station in the mountainous wind farm area based on the digital elevation model; Connect adjacent three-dimensional coordinates on the digital elevation model to generate multiple triangular pyramids, calculate the earthwork excavation volume of each triangular pyramid, and superimpose to obtain the earthwork volume of each candidate site of the mountain wind farm at the design elevation, use the earthwork weighting factor to correct the earthwork volume of the candidate site of the booster station, and obtain the final earthwork volume of each candidate site, and obtain the weighted earthwork cost of each candidate site according to the earthwork volume of each candidate site; According to the digital elevation model, a fitting point that meets the conditions is automatically selected from two points that need to be calculated for distance, the total distance between the candidate site and each unit is calculated using the distance fitting method, and the weighted road cost of each candidate site is calculated according to the weighted road cost coefficient and the total distance; The total cost is determined by taking the sum of the weighted earthwork cost and the weighted road cost of the candidate sites, and the candidate site with the lowest total cost is selected as the final site selection result for the mountain wind farm substation.

[0057] The specific working method is described in Example 1 and will not be repeated here.

[0058] A person skilled in the art can appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0059] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium or transmitted through a computer-readable storage medium. The computer instructions can be transmitted from a website site, a computer, a server or a data center to another website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by the computer or a data processing device such as a server, a data center, etc. that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)), etc.

[0060] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for selecting a site for a booster station in a mountainous wind farm, characterized in that: The process includes: Establishing a digital elevation model based on the boundary range of the wind farm, the determined wind turbine locations and the site selection constraints, and delineating the candidate sites of the booster station in the mountainous wind farm area based on the digital elevation model; Connect adjacent three-dimensional coordinates on the digital elevation model to generate multiple triangular pyramids, calculate the earthwork excavation volume of each triangular pyramid, and superimpose to obtain the earthwork volume of each candidate site of the mountain wind farm at the design elevation, use the earthwork weighting factor to correct the earthwork volume of the candidate site of the booster station, and obtain the final earthwork volume of each candidate site, and obtain the weighted earthwork cost of each candidate site according to the earthwork volume of each candidate site; According to the digital elevation model, a fitting point that meets the conditions is automatically selected from two points that need to be calculated for distance, the total distance between the candidate site and each unit is calculated using the distance fitting method, and the weighted road cost of each candidate site is calculated according to the weighted road cost coefficient and the total distance; The total cost is determined by taking the sum of the weighted earthwork cost and the weighted road cost of the candidate sites, and the candidate site with the lowest total cost is selected as the final site selection result for the mountain wind farm substation.

2. The method for selecting a site for a booster station in a mountainous wind farm according to claim 1, characterized in that: The earthwork weighting factor is the product of terrain factor, site factor, engineering factor and environmental factor.

3. The method for selecting a site for a booster station in a mountainous wind farm according to claim 1, characterized in that: The site selection constraints include: wind farm terrain conditions, wind farm geological conditions, wind farm hydrological conditions, wind farm meteorological conditions, wind farm sensitive areas, policy conditions and transportation conditions.

4. The method for selecting a site for a booster station in a mountainous wind farm according to claim 1, characterized in that: The fitting point that meets the conditions is automatically selected from the two points that need to be calculated for distance. The fitting distance between any two points A and B is the distance between the two points multiplied by the distance fitting coefficient.

5. The method for selecting a site for a booster station in a mountainous wind farm according to any one of claims 1 to 4, characterized in that: The weighted cost of the road is: ,in, , qi For the i Weighted cost coefficient of road section; Li For the i Distance of road section; αi For the i The terrain cost coefficient of the road section; βi is the slope cost coefficient of the i-th section of road; γi For the i Cost coefficient of road curvature; c is the base road cost coefficient; ei For the i Earthwork cost coefficient for road section.

6. The method for selecting a site for a booster station in a mountainous wind farm according to any one of claims 1 to 4, characterized in that: The weighted cost of earthwork includes: excavation cost, backfill cost, construction waste removal fee and taxes. The excavation cost and backfill cost are calculated by multiplying the earthwork volume of the alternative site by the corresponding unit price.

7. A mountain wind farm booster station site selection system, characterized in that: include: The candidate site generation unit is configured to: establish a digital elevation model according to the boundary range of the wind farm, the determined wind turbine machine site and the site selection restriction factors, and delineate the candidate site of the booster station in the mountainous wind farm area according to the digital elevation model; The earthwork weighted cost calculation unit is configured to: connect adjacent three-dimensional coordinates on the digital elevation model to generate a plurality of triangular pyramids, calculate the earthwork excavation volume of each triangular pyramid, superimpose to obtain the earthwork volume of each candidate site of the mountain wind farm at the design elevation, use the earthwork weighting factor to correct the earthwork volume of the candidate site of the booster station, obtain the final earthwork volume of each candidate site, and obtain the weighted earthwork cost of each candidate site according to the earthwork volume of each candidate site; The road weighted cost calculation unit is configured to: automatically select a fitting point that meets the conditions from two points that need to be distance calculated according to the digital elevation model, calculate the total distance between the candidate site and each unit by using the distance fitting method, and calculate the road weighted cost of each candidate site according to the road weighted cost coefficient and the total distance; The optimal site selection result generating unit is configured to: take the sum of the weighted earthwork cost and the weighted road cost of the alternative sites as the total cost, and take the alternative site with the lowest total cost as the final site selection result for the mountain wind farm substation.

8. A computer device, characterized in that: include: A processor and a computer readable storage medium; a processor adapted to execute a computer program; A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by the processor, the method for selecting a site for a booster station in a mountain wind farm is implemented as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is suitable for being loaded by a processor and executing the method for site selection of a booster station in a mountain wind farm according to any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the method for selecting a site for a booster station in a mountain wind farm is implemented as claimed in any one of claims 1 to 6.

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