Method, device and equipment for estimating developable capacity of mountain wind power plant and medium

Abstract

The invention relates to the technical field of wind power generation, and provides a mountain wind power plant developable capacity estimation method, device and equipment and a medium, and the method comprises the steps: obtaining dot matrix data, wind speed grid point data, ground feature coverage data and limiting factor range data of a target mountain wind power plant; according to the dot matrix data, generating initial ridge line data; based on the wind speed grid point data, the ground feature coverage data and the limiting factor range data, performing spatial analysis on the initial ridge line data to obtain target ridge line data; and obtaining the impeller diameter and the rated power of the wind driven generator, and estimating the developable capacity of the target mountain wind power plant according to the impeller diameter, the rated power and the target ridge line data. In the application, key factors such as terrain, wind speed and ground feature coverage are comprehensively considered, and spatial analysis is performed on the initial ridge line data, so that the estimation result of the developable capacity of the target mountain wind power plant is closer to the actual situation, and the estimation accuracy is improved.

Description

Technical Field

[0001] The present application relates to the technical field of wind power generation, and in particular to a method, device, equipment and medium for estimating the exploitable capacity of a mountain wind farm. Background Art

[0002] In the planning of new energy development and the early development of wind power projects, the estimation of the exploitable capacity of mountain wind farms is involved. In the process of estimating the exploitable capacity of mountain wind farms, it is necessary to comprehensively consider terrain conditions, resource conditions, sensitive factors, technical conditions and other conditions.

[0003] According to the existing calculation method, the wind energy resource reserves in the area with wind power density of 150W / m2 (watts per square meter) and above are multiplied by 0.785 to obtain the exploitable capacity of the wind farm. However, with the development of large-capacity wind turbines with large rotor diameters in recent years, the deviation between the exploitable capacity estimated by the above method and the actual exploitable capacity is large, and it is impossible to accurately estimate the exploitable capacity of the current wind power project pre-planning, especially the exploitable capacity of mountain wind farms.

[0004] Therefore, how to accurately estimate the exploitable capacity of mountain wind farms is an urgent problem that needs to be solved. Summary of the invention

[0005] In view of the above problems existing in the prior art, the purpose of this application is to propose a method, device, equipment and medium for estimating the exploitable capacity of a mountain wind farm, so as to at least solve the technical problem of how to accurately estimate the exploitable capacity of a mountain wind farm.

[0006] To achieve the above-mentioned purpose and other related purposes, the present application provides a method for estimating the exploitable capacity of a mountain wind farm, the method comprising:

[0007] Acquire the dot data, wind speed grid data, land cover data, and restriction factor range data of the target mountain wind farm, wherein the restriction factor range data refers to the range data corresponding to the factors that restrict the construction of wind turbines in the target mountain wind farm;

[0008] Generating initial ridgeline data according to the dot matrix data;

[0009] Based on the wind speed grid point data, the ground object coverage data, and the limiting factor range data, spatially analyzing the initial ridgeline data to obtain target ridgeline data;

[0010] The impeller diameter and rated power of the wind turbine are obtained, and the exploitable capacity of the target mountain wind farm is estimated based on the impeller diameter, the rated power and the target ridgeline data.

[0011] In one embodiment of the present application, the point matrix data is digital elevation model point matrix data.

[0012] In one embodiment of the present application, generating initial ridgeline data according to the dot matrix data includes:

[0013] Calculating the water flow direction of each pixel in the dot matrix data to obtain a water flow direction grid, wherein each pixel includes directional information pointing to the next pixel of the water flow;

[0014] Based on the water flow direction grid, calculate the cumulative flow of each pixel;

[0015] Obtaining a river network according to the cumulative flow of each pixel and a preset river threshold;

[0016] Determine the watershed boundary according to the cumulative flow of each pixel;

[0017] The initial ridgeline data is generated based on the river network and the watershed boundary.

[0018] In one embodiment of the present application, the spatial analysis of the initial ridgeline data based on the wind speed grid data, the ground object coverage data, and the limiting factor range data to obtain the target ridgeline data includes:

[0019] Extracting target wind speed grid point data within a preset wind speed range from the wind speed grid point data;

[0020] Performing intersection processing on the target wind speed grid point data and the initial ridge line data to obtain first ridge line data;

[0021] Extracting target ground object coverage data that meets preset coverage conditions from the ground object coverage data, and performing intersection processing on the target ground object coverage data and the first ridgeline data to obtain second ridgeline data;

[0022] The second ridgeline data and the limiting factor range data are subjected to difference processing to obtain the target ridgeline data.

[0023] In one embodiment of the present application, estimating the exploitable capacity of the target mountain wind farm according to the impeller diameter, the rated power and the target ridgeline data includes:

[0024] Determine the length of the ridge line according to the target ridge line data;

[0025] Determining the number of the wind turbines according to the ridgeline length and the impeller diameter;

[0026] The developable capacity of the target mountain wind farm is estimated according to the number of the wind turbines and the rated power.

[0027] In one embodiment of the present application, the number of wind turbines is represented by:

[0028]

[0029] Wherein, N is the number of wind turbines, L T is the ridgeline length, and D is the impeller diameter.

[0030] In one embodiment of the present application, the expression of the exploitable capacity of the target mountain wind farm includes:

[0031]

[0032] Wherein, C is the exploitable capacity of the target mountain wind farm, and P is the rated power.

[0033] In one embodiment of the present application, a device for estimating the exploitable capacity of a mountain wind farm is also provided, the device comprising:

[0034] A data acquisition module, used to acquire the dot data, wind speed grid data, land cover data, and restriction factor range data of the target mountain wind farm, wherein the restriction factor range data refers to the range data corresponding to the factors that restrict the construction of wind turbines in the target mountain wind farm;

[0035] A ridgeline analysis module, used to generate initial ridgeline data according to the dot matrix data;

[0036] A spatial analysis module, for performing spatial analysis on the initial ridgeline data based on the wind speed grid point data, the ground object coverage data, and the restriction factor range data to obtain target ridgeline data;

[0037] The estimation module is used to obtain the impeller diameter and rated power of the wind turbine, and estimate the exploitable capacity of the target mountain wind farm based on the impeller diameter, the rated power and the target ridgeline data.

[0038] In one embodiment of the present application, a computer-readable storage medium is further provided, wherein the computer-readable storage medium includes a stored computer program, wherein the computer program executes the above-mentioned method for estimating the exploitable capacity of a mountain wind farm when running.

[0039] In one embodiment of the present application, an electronic device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the above-mentioned method for estimating the exploitable capacity of a mountain wind farm through the computer program.

[0040] Beneficial effects of the present invention:

[0041] First, the dot matrix data, wind speed grid data, land cover data, and restriction factor range data of the target mountain wind farm are obtained, and the restriction factor range data refers to the range data corresponding to the factors that restrict the construction of wind turbines in the target mountain wind farm; then, based on the dot matrix data, the initial ridgeline data is generated; then, based on the wind speed grid data, land cover data, and restriction factor range data, the initial ridgeline data is spatially analyzed to obtain the target ridgeline data; finally, the impeller diameter and rated power of the wind turbine are obtained, and the exploitable capacity of the target mountain wind farm is estimated based on the impeller diameter, the rated power, and the target ridgeline data. In this application, the initial ridgeline data is generated by the dot matrix data to convert the terrain information of the mountain wind farm into the ridgeline data where the wind turbine can actually be installed; the key factors such as terrain, wind speed, and land cover are comprehensively considered, and the initial ridgeline data is spatially analyzed to obtain the exploitable capacity. The calculation process of this method is simple, and the calculation results are closer to the actual situation. It can realize the rapid estimation of the exploitable capacity of wind farms in a large area and ensure that the calculation results have high accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0043] Figure 1 is a schematic diagram of an application environment of a method for estimating developable capacity of a mountain wind farm shown in an exemplary embodiment of the present application;

[0044] Figure 2 is a flow chart of a method for estimating the exploitable capacity of a mountain wind farm shown in an exemplary embodiment of the present application;

[0045] Figure 3 is a schematic diagram of the arrangement of a wind turbine generator according to an exemplary embodiment of the present application;

[0046] Figure 4 is a schematic diagram of a device for estimating the exploitable capacity of a mountain wind farm shown in an exemplary embodiment of the present application;

[0047] Figure 5It is a schematic diagram of the structure of an electronic device shown in an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0048] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0049] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0050] In one embodiment of the present application, a method for estimating the exploitable capacity of a mountain wind farm is provided. Optionally, as an optional implementation, the method for estimating the exploitable capacity of a mountain wind farm can be applied to, but is not limited to, Figure 1 in the environment shown. Figure 1 is a schematic diagram of an application environment of a method for estimating the exploitable capacity of a mountain wind farm shown in an exemplary embodiment of the present application, see Figure 1 The estimation terminal 101 may be, but is not limited to, a host computer, a desktop computer, a laptop computer, etc. with local computing capabilities. The estimation terminal 101 may be, but is not limited to, communicating with the data acquisition terminal 102 and the server 103 through a network. The server 103 may be, but is not limited to, performing operations on the database, such as writing data operations or reading data operations. The above-mentioned estimation terminal 101 may be, but is not limited to, including a human-computer interaction screen, a processor, and a memory. The above-mentioned human-computer interaction screen may be, but is not limited to, used to display the results of the estimation of the exploitable capacity of a mountain wind farm. The above-mentioned processor may be, but is not limited to, used to respond to the above-mentioned human-computer interaction operations, perform corresponding operations, or generate corresponding instructions, and send the generated instructions to the server 103. The above-mentioned memory is used to store relevant storage data, such as the estimation results of the exploitable capacity, etc.

[0051] As an optional method, data can be collected through the data collection terminal 102, for example, dot data, wind speed grid data, ground coverage data, and restriction factor range data of the target mountain wind farm can be collected and preprocessed.

[0052] As an optional method, the following steps in the method for estimating the exploitable capacity of a mountain wind farm may be performed on the estimation terminal 101:

[0053] Acquire the dot data, wind speed grid data, land cover data, and restriction factor range data of the target mountain wind farm, wherein the restriction factor range data refers to the range data corresponding to the factors that restrict the construction of wind turbines in the target mountain wind farm;

[0054] Generating initial ridgeline data according to the dot matrix data;

[0055] Based on the wind speed grid point data, the ground object coverage data, and the limiting factor range data, spatially analyzing the initial ridgeline data to obtain target ridgeline data;

[0056] The impeller diameter and rated power of the wind turbine are obtained, and the exploitable capacity of the target mountain wind farm is estimated based on the impeller diameter, the rated power and the target ridgeline data.

[0057] As an optional manner, the server 103 may obtain the estimation result of the developable capacity transmitted by the estimation terminal 101 and then perform subsequent processing.

[0058] Based on the above method, the initial ridgeline data is generated through the dot matrix data to convert the terrain information of the mountain wind farm into the ridgeline data where the wind turbines can be installed; the key factors such as terrain, wind speed and land cover are comprehensively considered, and the initial ridgeline data is spatially analyzed to obtain the exploitable capacity. The calculation process of this method is simple, and the calculation results are closer to the actual situation. It can realize the rapid estimation of the exploitable capacity of wind farms in a large area and ensure that the calculation results have high accuracy.

[0059] Optionally, in this embodiment, the estimation terminal 101 may be a terminal device configured with a target client, which may include but is not limited to at least one of the following: a laptop, a tablet computer, a handheld computer, a PAD, a desktop computer, etc. The target client may be a video client, an instant messaging client, a browser client, an education client, etc., which supports providing an application for estimating the developable capacity of a mountain wind farm. The network may include but is not limited to: a wired network, a wireless network, wherein the wired network includes: a local area network, a metropolitan area network, and a wide area network, and the wireless network includes: Bluetooth, WIFI, and other networks that implement wireless communication. The server may be a single server, or a server cluster consisting of multiple servers, or a cloud server. The above is only an example, and this embodiment does not impose any limitation on this.

[0060] As an optional example, this embodiment does not limit the execution entity of the above-mentioned method for estimating the developable capacity of a mountain wind farm. Some or all of the steps of the above-mentioned method for estimating the developable capacity of a mountain wind farm can be executed on the estimation terminal 101. For example, when the estimation terminal 101 is a desktop computer, some or all of the steps of the above-mentioned method for estimating the developable capacity of a mountain wind farm can be executed on the desktop computer.

[0061] In one embodiment of the present application, a method for estimating the exploitable capacity of a mountain wind farm is provided. Figure 2 is a flow chart of a method for estimating the exploitable capacity of a mountain wind farm shown in an exemplary embodiment of the present application, see Figure 2 The method for estimating the exploitable capacity of a mountain wind farm includes the following steps from S210 to S240:

[0062] In step S210, the dot data, wind speed grid data, land cover data, and restriction factor range data of the target mountain wind farm are obtained, wherein the restriction factor range data refers to the range data corresponding to the factors that restrict the construction of wind turbines in the target mountain wind farm.

[0063] In an embodiment of the present application, the point matrix data is digital elevation model point matrix data.

[0064] Exemplarily, the dot data in the embodiment of the present application is digital elevation model dot data. Digital elevation model dot data is DEM data, which is a digital data describing the surface elevation and can be obtained by field surveying and mapping, remote sensing mapping, etc. It is usually composed of dot data on the surface of the earth, and each point has corresponding elevation information. DEM data can be applied to various fields, such as terrain analysis, hydrological simulation, environmental modeling, urban planning, etc. In DEM data, each grid point represents a geographical location and records the elevation value of the location. Through the geographical location and elevation value, it can be used to draw contour maps, slope maps, aspect maps, stereo perspective maps, stereo landscape maps, and to make orthophotos, stereo terrain models, etc.

[0065] Among them, wind speed grid data refers to wind speed data obtained by radar, satellite, meteorological simulation or other measurement methods, which are arranged according to a certain grid (grid point) distribution. This form of data organization enables the data to cover a larger geographical area and is easy to use in geographic information system (GIS) software or meteorological models. Wind speed grid data is often used in climate research, weather forecasting, wind energy resource assessment and other aspects.

[0066] Among them, land cover data refers to information collected through field surveys, remote sensing, etc. to describe different types of vegetation, soil, water, settlements, buildings and other covers on the earth's surface. These data are very important for many fields such as environmental science, geographic information system (GIS), natural resource management, climate change research, etc. Land cover data can help scientists and decision makers understand changes in the earth's surface, monitor the health of ecosystems, and assess the impact of land use changes on the environment.

[0067] Among them, the restriction factor range data refers to the range data corresponding to the factors that restrict the construction of wind turbines in the target mountain wind farm obtained through field surveys, information applications, etc. The above factors include nature reserves, cultural relics protection areas, etc.

[0068] In step S220, initial ridgeline data is generated according to the dot matrix data.

[0069] Among them, ridgeline data refers to data that depicts the continuous line of the highest point in mountain terrain. These data are usually used in geographic information systems (GIS) to perform terrain analysis, path planning, viewshed analysis, etc. The ridgeline is an important feature in the terrain. It can be used to identify the main veins of the mountain range, which is very important for terrain analysis, environmental planning, and tourist route planning. In the embodiment of the present application, the main wind direction of the mountain wind farm is perpendicular to the direction of the ridgeline, and the wind turbine is built along the direction of the ridgeline.

[0070] In step S230, based on the wind speed grid point data, the ground object coverage data, and the restriction factor range data, the initial ridgeline data is spatially analyzed to obtain target ridgeline data.

[0071] For example, the target ridgeline data is confirmed by comprehensively considering multiple key factors such as terrain, wind speed, land cover and the range of restrictive factors to ensure the rationality and feasibility of the site selection of wind turbines. Areas that are not suitable for the construction of wind farms can be gradually eliminated through gradual screening, and the final result is the most suitable area for the construction of wind turbines. DEM data and wind speed grid data can be used to accurately determine specific geographical locations and altitudes, thereby improving the power generation efficiency of wind farms. By excluding the range of restrictive factors, it can be ensured that the site selection complies with local regulations and protects the natural environment from damage.

[0072] In step S240, the impeller diameter and rated power of the wind turbine are obtained, and the exploitable capacity of the target mountain wind farm is estimated based on the impeller diameter, the rated power and the target ridgeline data.

[0073] Among them, the exploitable capacity of a mountain wind farm refers to the maximum installed capacity of wind turbines that can theoretically be installed in a mountain wind farm after taking into account various factors such as terrain, wind resources, technology, economy, regulations and environment.

[0074] By using the above embodiment provided by the present application, initial ridgeline data is generated through dot matrix data to convert the terrain information of the mountain wind farm into the ridgeline data where wind turbines can actually be installed; taking into account the key factors such as terrain, wind speed, and land cover, the initial ridgeline data is spatially analyzed to obtain the exploitable capacity. The calculation process of this method is simple, and the calculation results are closer to the actual situation. It can realize the rapid estimation of the exploitable capacity of wind farms in a large area and ensure that the calculation results have high accuracy.

[0075] In one embodiment of the present application, generating initial ridgeline data according to the dot matrix data includes:

[0076] Calculating the water flow direction of each pixel in the dot matrix data to obtain a water flow direction grid, wherein each pixel includes directional information pointing to the next pixel of the water flow;

[0077] Based on the water flow direction grid, calculate the cumulative flow of each pixel;

[0078] Obtaining a river network according to the cumulative flow of each pixel and a preset river threshold;

[0079] Determine the watershed boundary according to the cumulative flow of each pixel;

[0080] The initial ridgeline data is generated based on the river network and the watershed boundary.

[0081] Exemplarily, this embodiment generates initial ridgeline data based on the watershed analysis method. First, use the tools in the GIS software to calculate the water flow direction of each pixel and generate a water flow direction grid, in which each pixel contains directional information pointing to the next pixel of the water flow; then, based on the water flow direction grid, use the cumulative flow calculation tool to calculate the cumulative flow of each pixel. The cumulative flow refers to the sum of the number of all pixels flowing to the pixel, which is used to determine the location of the river; then, using the cumulative flow, set a threshold to extract the river network. The choice of the threshold depends on the characteristics of the study area. Usually, pixels with higher cumulative flow are selected to determine the location of the river. The river network can be converted into a vector line feature using GIS tools; then, use GIS tools to determine the watershed boundary based on the cumulative flow. The watershed is the high ground between adjacent rivers. They determine the range of water flow. The watershed is usually defined as a set of pixels with a cumulative flow higher than a certain threshold; finally, the depression can be filled to the cumulative flow threshold, and then the water flow direction and cumulative flow are calculated again, and then the ridgeline data is extracted using a custom script. The ridgeline is located at the highest point of the watershed and is the natural dividing line between two adjacent river systems. To generate ridgelines, you need to find the highest point on the watershed, which usually means finding the pixel with the lowest cumulative flow. Ridgeline data can also be obtained by extracting the highest point on the watershed boundary, which requires writing a script or using a specific plug-in.

[0082] In one embodiment of the present application, the spatial analysis of the initial ridgeline data based on the wind speed grid point data, the ground object coverage data, and the limiting factor range data to obtain the target ridgeline data includes:

[0083] Extracting target wind speed grid point data within a preset wind speed range from the wind speed grid point data;

[0084] Performing intersection processing on the target wind speed grid point data and the initial ridge line data to obtain first ridge line data;

[0085] Extracting target ground object coverage data that meets preset coverage conditions from the ground object coverage data, and performing intersection processing on the target ground object coverage data and the first ridgeline data to obtain second ridgeline data;

[0086] The second ridgeline data and the limiting factor range data are subjected to difference processing to obtain the target ridgeline data.

[0087] Exemplarily, the wind speed grid point data is extracted, and the wind speed grid points with wind speeds within the preset wind speed range are extracted to obtain the target wind speed grid point data. In this step, areas with sufficiently high average wind speeds can be screened out, because wind speed is a key factor in determining the power generation of a wind farm. Among them, the preset wind speed range can be a wind speed range greater than or equal to 5m / s. In the specific implementation process, the preset wind speed range can be adjusted as needed.

[0088] Exemplarily, intersection processing is performed on the target wind speed grid point data and the initial ridgeline data to ensure that the final selected location is not only located on the ridgeline but also has sufficient wind speed conditions.

[0089] Exemplarily, target land feature coverage data that meets preset coverage conditions is extracted to remove grid points whose land features are identified as water areas, settlements, and buildings.

[0090] Exemplarily, intersection processing is performed on the target object coverage data and the first ridgeline data, further narrowing the site selection range and ensuring that the site selection not only meets the terrain conditions but also has good object coverage.

[0091] Exemplarily, the second ridgeline data and the restriction factor range data are subjected to difference processing, excluding all restricted areas, thus ensuring that the final site selection will not violate any regulations or cause ecological damage.

[0092] In one embodiment of the present application, estimating the exploitable capacity of the target mountain wind farm according to the impeller diameter, the rated power and the target ridgeline data includes:

[0093] Determine the length of the ridge line according to the target ridge line data;

[0094] Determining the number of the wind turbines according to the ridgeline length and the impeller diameter;

[0095] The developable capacity of the target mountain wind farm is estimated according to the number of the wind turbines and the rated power.

[0096] In one embodiment of the present application, the number of wind turbines is represented by:

[0097]

[0098] Wherein, N is the number of wind turbines, L T is the ridgeline length, and D is the impeller diameter.

[0099] In one embodiment of the present application, the expression of the exploitable capacity of the target mountain wind farm includes:

[0100]

[0101] Wherein, C is the exploitable capacity of the target mountain wind farm, and P is the rated power.

[0102] Exemplarily, the ridgeline length is determined based on the target ridgeline data, and the ridgeline length is recorded as LT in meters.

[0103] The number of wind turbines that can be arranged per meter of ridgeline is ρ, that is, the arrangement density of wind turbines on the ridgeline is ρ per meter. Figure 3 , Figure 3 FIG. 1 is a schematic diagram showing the arrangement of a wind turbine according to an exemplary embodiment of the present application. Figure 3 As shown in the figure, the center of the circle represents the location of the wind turbine, the circle represents the impeller diameter of the wind turbine is D, and the distance between two wind turbines (excluding the impeller) is L. Assuming that there are M identical wind turbines arranged on a horizontal ridge line, the distance from the first wind turbine to the last wind turbine is:

[0104] (M-1)L+(M-1)D

[0105] but:

[0106]

[0107] For example, if the number of wind turbines that can be arranged on a ridgeline with a known length of LT is N, then:

[0108]

[0109] Among them, according to relevant specifications and experience, the arrangement spacing of mountain wind farms should be maintained at 2D or more in the vertical main wind direction. Usually, the main wind direction of mountain wind farms is perpendicular to the direction of the ridge line, so the spacing of wind turbines on the ridge is 2D or more. In this application, it is assumed that the arrangement spacing of wind turbines is 2D, that is, L is equal to D, then:

[0110]

[0111] For example, the rated power of the wind turbine is P, and the known length is L T The total capacity C of wind turbines that can be arranged on the ridgeline is:

[0112]

[0113] For example, the length of the ridgeline in the target mountain wind farm is 4.5 km. The exploitable capacity is estimated by using the current mainstream wind turbine with a rotor diameter of 180 meters and a rated power of 6 MW. The exploitable capacity of the target mountain wind farm is:

[0114]

[0115] As can be seen from the above embodiments, initial ridgeline data is generated by using dot matrix data to convert the terrain information of the mountain wind farm into the ridgeline data where wind turbines can actually be installed; taking into account the key factors such as terrain, wind speed, and land cover, the initial ridgeline data is spatially analyzed to obtain the exploitable capacity. The calculation process of this method is simple, and the calculation results are closer to the actual situation. It can realize the rapid estimation of the exploitable capacity of wind farms in a large area and ensure that the calculation results have high accuracy.

[0116] In one embodiment of the present application, a device for estimating the exploitable capacity of a mountain wind farm is also provided. Figure 4 is a schematic diagram of a device for estimating the exploitable capacity of a mountain wind farm shown in an exemplary embodiment of the present application, see Figure 4 , the device comprises:

[0117] The data acquisition module 401 is used to acquire the dot data, wind speed grid data, land cover data, and restriction factor range data of the target mountain wind farm, wherein the restriction factor range data refers to the range data corresponding to the factors that restrict the construction of wind turbines in the target mountain wind farm;

[0118] A ridgeline analysis module 402, used to generate initial ridgeline data according to the dot matrix data;

[0119] A spatial analysis module 403 is used to perform spatial analysis on the initial ridgeline data based on the wind speed grid point data, the ground object coverage data, and the restriction factor range data to obtain target ridgeline data;

[0120] The estimation module 404 is used to obtain the impeller diameter and rated power of the wind turbine, and estimate the exploitable capacity of the target mountain wind farm according to the impeller diameter, the rated power and the target ridgeline data.

[0121] The device for estimating the exploitable capacity of a mountain wind farm in the embodiment of the present application generates initial ridgeline data through dot matrix data to convert the terrain information of the mountain wind farm into ridgeline data where wind turbines can actually be installed; the key factors such as terrain, wind speed, and land cover are comprehensively considered, and the initial ridgeline data is spatially analyzed to obtain the exploitable capacity. The calculation process of this method is simple, and the calculation results are closer to the actual situation. It can realize the rapid estimation of the exploitable capacity of wind farms in a large area and ensure that the calculation results have high accuracy.

[0122] The specific embodiments of the device for estimating the exploitable capacity of a mountain wind farm in the present application can refer to the example shown in the above-mentioned method for estimating the exploitable capacity of a mountain wind farm, which will not be repeated here in this example.

[0123] In one embodiment of the present application, an electronic device for implementing the above-mentioned method for estimating the exploitable capacity of a mountain wind farm is also provided. The electronic device includes a memory and a processor, the memory stores a computer program, and the processor is configured to execute the above-mentioned method for estimating the exploitable capacity of a mountain wind farm through the computer program.

[0124] See also Figure 5 , Figure 5 5 is a schematic diagram of the structure of an electronic device shown in an exemplary embodiment of the present application. The computer system 500 includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage part 508 to the random access memory (RAM) 503, such as executing the method described in the above embodiment. In RAM 503, various programs and data required for system operation are also stored. CPU 501, ROM 502 and RAM 503 are connected to each other via bus 504. Input / output (I / O) interface 505 is also connected to bus 504.

[0125] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed so that a computer program read therefrom is installed into the storage section 508 as needed.

[0126] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 509, and / or installed from a removable medium 511. When the computer program is executed by a central processing unit (CPU) 501, various functions defined in the system of the present application are executed.

[0127] It should be noted that the computer-readable medium shown in the embodiment of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. This propagated data signal can take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. A computer program contained on a computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0128] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0129] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not constitute limitations on the units themselves in some cases.

[0130] Another aspect of the present application further provides a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein when the computer program is run, the above-mentioned method for estimating the exploitable capacity of a mountain wind farm is executed. The computer-readable storage medium may be included in the electronic device described in the above-mentioned embodiment, or may exist independently without being assembled into the electronic device.

[0131] Another aspect of the present application also provides a computer program product or a computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method for estimating the developable capacity of a mountain wind farm provided in each of the above embodiments.

[0132] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the technology may modify or change the above embodiments without violating the spirit and scope of the present invention. Therefore, all equivalent modifications or changes made by a person of ordinary skill in the art without departing from the spirit and technical ideas disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A method for estimating the exploitable capacity of a mountain wind farm, characterized in that: The method comprises: Acquire the dot data, wind speed grid data, land cover data, and restriction factor range data of the target mountain wind farm, wherein the restriction factor range data refers to the range data corresponding to the factors that restrict the construction of wind turbines in the target mountain wind farm; Generating initial ridgeline data according to the dot matrix data; Based on the wind speed grid point data, the ground object coverage data, and the limiting factor range data, spatially analyzing the initial ridgeline data to obtain target ridgeline data; The impeller diameter and rated power of the wind turbine are obtained, and the exploitable capacity of the target mountain wind farm is estimated based on the impeller diameter, the rated power and the target ridgeline data.

2. The method for estimating the exploitable capacity of a mountain wind farm according to claim 1, characterized in that: The dot matrix data is digital elevation model dot matrix data.

3. The method for estimating the exploitable capacity of a mountain wind farm according to claim 1, characterized in that: Generating initial ridgeline data according to the dot matrix data includes: Calculating the water flow direction of each pixel in the dot matrix data to obtain a water flow direction grid, wherein each pixel includes directional information pointing to the next pixel of the water flow; Based on the water flow direction grid, calculate the cumulative flow of each pixel; Obtaining a river network according to the cumulative flow of each pixel and a preset river threshold; Determine the watershed boundary according to the cumulative flow of each pixel; The initial ridgeline data is generated based on the river network and the watershed boundary.

4. The method for estimating the exploitable capacity of a mountain wind farm according to claim 1, characterized in that: The spatial analysis of the initial ridgeline data based on the wind speed grid point data, the ground object coverage data, and the limiting factor range data to obtain the target ridgeline data includes: Extracting target wind speed grid point data within a preset wind speed range from the wind speed grid point data; Performing intersection processing on the target wind speed grid point data and the initial ridge line data to obtain first ridge line data; Extracting target ground object coverage data that meets preset coverage conditions from the ground object coverage data, and performing intersection processing on the target ground object coverage data and the first ridgeline data to obtain second ridgeline data; The second ridgeline data and the limiting factor range data are subjected to difference processing to obtain the target ridgeline data.

5. The method for estimating the exploitable capacity of a mountain wind farm according to claim 1, characterized in that: The estimating the exploitable capacity of the target mountain wind farm according to the impeller diameter, the rated power and the target ridgeline data comprises: Determine the length of the ridge line according to the target ridge line data; Determining the number of the wind turbines according to the ridgeline length and the impeller diameter; The developable capacity of the target mountain wind farm is estimated according to the number of the wind turbines and the rated power.

6. The method for estimating the exploitable capacity of a mountain wind farm according to claim 5, characterized in that: The number of wind turbines may be represented by: Wherein, N is the number of wind turbines, L T is the ridgeline length, and D is the impeller diameter.

7. The method for estimating the exploitable capacity of a mountain wind farm according to claim 6, characterized in that: The expression of the exploitable capacity of the target mountain wind farm includes: Wherein, C is the exploitable capacity of the target mountain wind farm, and P is the rated power.

8. A device for estimating the exploitable capacity of a mountain wind farm, characterized in that: The device comprises: A data acquisition module, used to acquire the dot data, wind speed grid data, land cover data, and restriction factor range data of the target mountain wind farm, wherein the restriction factor range data refers to the range data corresponding to the factors that restrict the construction of wind turbines in the target mountain wind farm; A ridgeline analysis module, used to generate initial ridgeline data according to the dot matrix data; A spatial analysis module, for performing spatial analysis on the initial ridgeline data based on the wind speed grid point data, the ground object coverage data, and the restriction factor range data to obtain target ridgeline data; The estimation module is used to obtain the impeller diameter and rated power of the wind turbine, and estimate the exploitable capacity of the target mountain wind farm based on the impeller diameter, the rated power and the target ridgeline data.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium comprises a stored computer program, wherein the computer program, when executed, executes the method for estimating the exploitable capacity of a mountain wind farm according to any one of claims 1 to 7.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method for estimating the exploitable capacity of a mountain wind farm according to any one of claims 1 to 7 through the computer program.

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