Regional power grid cost control method and system

Abstract

The invention discloses a regional power grid cost management and control method and system, and relates to the technical field of power grid cost management and control methods, and the method comprises the steps: determining a plurality of theoretical power supply nodes based on an actual terrain distribution diagram of a region A and the previous power consumption data of the region A; and the initial power grid cost is determined according to the plurality of theoretical power supply nodes and the corresponding theoretical power supply paths, so that the estimation of the initial power grid cost is realized. Therefore, if the initial power grid cost exceeds a preset power grid cost threshold value, an optimized power supply area of the area A is determined according to a power supply area of the power grid and a life distribution area of the area A; and determining a plurality of actual distribution nodes based on the optimized power supply area and the actual terrain distribution map, determining the final power grid cost according to the plurality of actual distribution nodes and the corresponding actual power supply path, and planning the actual power supply path so as to be suitable for the actual scene of the area A and realize the power grid cost control of the area.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid cost control methods, and in particular to a method and system for controlling power grid costs in a region. Background Art

[0002] With the development of science and technology, area A has gradually decreased, but it still exists. Area A usually refers to those areas with lagging economic development and weak infrastructure. In existing technology, the power grid should cover all areas A, and targeted power grid laying is required for areas A. However, the existing power grid in area A has too many power supply points, so the power generated by the power grid has exceeded the power consumption in area A, and it is impossible to achieve reasonable control of the power grid cost in area A. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art, and the present invention provides a method and system for controlling regional power grid costs.

[0004] An embodiment of the present invention provides a method for controlling power grid costs in a region, including: Determine a theoretical topographic distribution map of region A based on the region name and the corresponding location of region A; Determine the actual terrain distribution map of area A based on multiple actual images collected by the drone and the theoretical terrain distribution map; Based on the actual topographic distribution map of Region A and the historical electricity consumption data of Region A, multiple theoretical power supply nodes are determined, and preliminary grid costs are determined based on the multiple theoretical power supply nodes and the corresponding theoretical power supply paths; If the preliminary grid cost exceeds the preset grid cost threshold, the optimized power supply area in Region A is determined based on the power supply area of the grid and the living distribution area in Region A; A plurality of actual distribution nodes are determined based on the optimized power supply area and the actual terrain distribution map, and a final power grid cost is determined according to the plurality of actual distribution nodes and the corresponding actual power supply paths.

[0005] An embodiment of the present invention provides a regional power grid cost control system, which is applied to the above-mentioned regional power grid cost control method. The regional power grid cost control system includes: The theoretical terrain distribution map module is used to determine the theoretical terrain distribution map of area A based on the area name and the corresponding location of area A; The actual terrain distribution map module is used to determine the actual terrain distribution map of area A based on multiple actual images collected by the drone and the theoretical terrain distribution map; A preliminary power grid cost module is used to determine multiple theoretical power supply nodes based on the actual topographic distribution map of area A and the previous power consumption data of area A, and to determine the preliminary power grid cost based on the multiple theoretical power supply nodes and the corresponding theoretical power supply paths; An optimized power supply area module is used to determine an optimized power supply area in area A based on the power supply area of the power grid and the living distribution area in area A if the preliminary power grid cost exceeds a preset power grid cost threshold; The final grid cost module is used to determine multiple actual distribution nodes based on the optimized power supply area and the actual terrain distribution map, and to determine the final grid cost according to the multiple actual distribution nodes and the corresponding actual power supply paths.

[0006] Compared with the prior art, the present invention has the following beneficial effects: In an embodiment of the present invention, through the method in the embodiment of the present invention, the theoretical terrain distribution map of area A is determined based on the area name of area A and the corresponding location; the actual terrain distribution map of area A is determined based on multiple actual images collected by the drone and the theoretical terrain distribution map; multiple theoretical power supply nodes are determined based on the actual terrain distribution map of area A and the previous electricity consumption data of area A, and the preliminary power grid cost is determined based on the multiple theoretical power supply nodes and the corresponding theoretical power supply paths, thereby realizing the estimation of the preliminary power grid cost and further controlling the preliminary power grid cost.

[0007] Therefore, if the preliminary grid cost exceeds the preset grid cost threshold, the optimized power supply area of area A is determined based on the power supply area of the grid and the living distribution area of area A; multiple actual distribution nodes are determined based on the optimized power supply area and the actual terrain distribution map, and the final grid cost is determined based on the multiple actual distribution nodes and the corresponding actual power supply paths. The final grid cost is generated by further control of the preliminary grid cost, and the actual power supply path is planned to be suitable for the actual scenario of area A, thereby realizing reasonable control of the grid cost in area A. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 is a flow chart of a method for controlling regional power grid costs in an embodiment of the present invention; Figure 2 1 is a flow chart of step S11 in the method for controlling regional power grid costs in an embodiment of the present invention; Figure 3 1 is a flow chart of step S12 in the method for controlling regional power grid costs in an embodiment of the present invention; Figure 4 1 is a flow chart of step S13 in the method for controlling regional power grid costs in an embodiment of the present invention; Figure 51 is a flow chart of step S14 in the method for controlling regional power grid costs in an embodiment of the present invention; Figure 6 1 is a flow chart of step S15 in the method for controlling regional power grid costs in an embodiment of the present invention; Figure 7 It is a schematic diagram of the structural composition of the regional power grid cost control system in an embodiment of the present invention. DETAILED DESCRIPTION

[0009] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0010] See also Figures 1 to 7 A regional power grid cost control method is applied to a regional power grid cost control scenario; the regional power grid cost control method includes: Step S11: determining a theoretical topographic distribution map of region A based on the region name and the corresponding location of region A; Step S12: determining the actual terrain distribution map of area A based on the multiple actual images collected by the drone and the theoretical terrain distribution map; Step S13: determining a plurality of theoretical power supply nodes based on the actual topographic distribution map of region A and past power consumption data of region A, and determining a preliminary grid cost based on the plurality of theoretical power supply nodes and corresponding theoretical power supply paths; Step S14: If the preliminary grid cost exceeds the preset grid cost threshold, then determining the optimized power supply area in region A based on the power supply area of the grid and the living distribution area in region A; Step S15: determining a plurality of actual distribution nodes based on the optimized power supply area and the actual terrain distribution map, and determining a final grid cost based on the plurality of actual distribution nodes and the corresponding actual power supply paths; refer to Figure 2 In step S11, the use status of the hot and cold spray equipment is determined based on multiple working parameters of the hot and cold spray equipment, the use scenario of the hot and cold spray equipment, and the model of the hot and cold spray equipment; In the specific implementation process of the present invention, the specific steps are: S111: collecting the name of region A, determining a distribution map of region A based on the name of region A and a town database, and determining a three-dimensional model of region A based on the distribution map of region A and the location of region A; S112: Determine multiple ground contours based on the detection of the three-dimensional model of area A, form multiple stepped terrains based on the synthesis of the multiple ground contours, and determine a theoretical terrain distribution map of area A based on the synthesis of the multiple stepped terrains, and mark the corresponding terrain parameters.

[0011] In an embodiment of the present application, the area name of area A is collected, and the distribution map of area A is determined based on the area name of area A and the town database. The three-dimensional model of area A is determined based on the distribution map of area A and the location of area A. This is compatible with the overall consideration of the distribution map of area A and the location of area A, thereby ensuring the accuracy of the three-dimensional model of area A.

[0012] At this point, we collect the names of regions in Region A. These names are typically derived from government-issued lists of counties C and villages B. During this collection process, we need to ensure the accuracy and completeness of the names so that we can accurately match the corresponding geographic location information in subsequent steps. Optionally, we obtain a detailed list of villages B from the provincial D office or relevant departments, which includes the name of each village B.

[0013] After obtaining the names of Region A, the next step was to determine the geographic distribution of these regions using an existing town database; town databases typically contain information such as administrative divisions, geographic locations, and demographics. By matching the names of Region A with records in the town database, the precise geographic location of each Region A was obtained, and a distribution map was created based on this information. Optionally, after obtaining a list of Village B, a database containing the geographic location information of all administrative villages in the province was used. By comparing the names of Village B with the records in the database, the geographic location of each Village B was successfully located, and a detailed distribution map of the Village B was created using GIS software.

[0014] Based on the distribution map, elevation data (such as digital elevation model (DEM)) or satellite remote sensing images are further used to construct a three-dimensional model of area A. The three-dimensional model of area A can more intuitively display the topographic and geomorphic features of area A, providing an important reference for subsequent power grid planning. Optionally, after drawing the distribution map of village B, a DEM model containing the elevation data of the province is used. By superimposing the distribution map with the DEM model, a three-dimensional model containing the three-dimensional terrain information of village B is successfully generated. This model clearly shows the altitude, terrain undulations and surrounding landform features of village B, providing important basic terrain data for subsequent power grid cost control.

[0015] Specifically, starting from the name of Area A, a detailed three-dimensional model of Area A was constructed using the town database and elevation data. This three-dimensional model of Area A not only includes the geographical location information of Area A, but also intuitively displays its topographical features. In the subsequent power grid cost control process, this model will be used to more accurately assess the difficulty and cost of power grid construction, thereby formulating a more scientific and reasonable power grid planning scheme.

[0016] Furthermore, a plurality of ground contours are determined based on the detection of the three-dimensional model of area A, a plurality of stepped terrains are formed based on the synthesis of the plurality of ground contours, a theoretical terrain distribution map of area A is determined based on the synthesis of the plurality of stepped terrains, and corresponding terrain parameters are marked; At this time, the three-dimensional model of area A is detected using image processing technology or terrain analysis tools in GIS software to extract the contour lines of the ground. These contour lines can reflect the undulations and boundaries of the terrain and are the basis for the subsequent synthesis of stepped terrain. When extracting contour lines, it is necessary to pay attention to maintaining the continuity and accuracy of the contours to avoid adverse effects on subsequent steps. Optionally, it is assumed that a three-dimensional model containing a village B in a certain province has been constructed. In this model, terrain undulations and landform features of different heights are seen. In order to extract the ground contour, a professional GIS software is used, which provides a terrain analysis tool. By setting appropriate parameters, the ground contour lines of village B are successfully extracted. These contour lines clearly show the undulations and boundaries of the terrain.

[0017] After extracting the ground contour, the next step is to synthesize these contour lines to form a series of continuous stepped terrain. These steps can approximately represent the changes in the terrain and provide important reference information for subsequent power grid planning. When synthesizing the stepped terrain, factors such as the height, width and shape of the steps need to be considered to ensure that they can truly reflect the ups and downs and changes in the terrain. Optionally, after extracting the ground contour lines of Village B, the terrain simulation function in the GIS software is used to synthesize these contour lines into a series of continuous stepped terrain. During the synthesis process, the height and width of the steps are adjusted according to the ups and downs and changes in the terrain to ensure that they can truly reflect the terrain characteristics of Village B. Finally, a three-dimensional model containing multiple stepped terrains is obtained.

[0018] The synthesized stepped terrain is further converted into a continuous theoretical terrain distribution map, which usually involves the application of interpolation algorithms or terrain simulation algorithms to ensure the smoothness and continuity of the terrain distribution map; at the same time, key terrain parameters such as altitude, slope, and aspect need to be marked on the distribution map for subsequent power grid planning and analysis. Optionally, after obtaining a three-dimensional model containing multiple stepped terrains, the interpolation function in the GIS software is used to convert these stepped terrains into a continuous theoretical terrain distribution map; during the conversion process, a suitable interpolation algorithm is selected to ensure the smoothness and continuity of the distribution map; at the same time, key terrain parameters such as altitude, slope, and aspect are also marked on the distribution map. These parameters provide important reference information for subsequent power grid cost control.

[0019] Specifically, the ground contour lines were extracted from the three-dimensional model of Area A, and multiple stepped terrains were synthesized. Ultimately, a map containing a continuous theoretical terrain distribution map and key terrain parameters was obtained. This map not only shows the topographical characteristics of Area A, but also provides important reference information for subsequent power grid planning and analysis. In the process of power grid cost control, this map is used to more accurately assess the difficulty and cost of power grid construction, thereby formulating a more scientific and reasonable power grid planning scheme.

[0020] refer to Figure 3 , in step S12, determining the actual terrain distribution map of area A based on the multiple actual images collected by the drone and the theoretical terrain distribution map; In the specific implementation process of the present invention, the specific steps are: S121: Determine multiple flight spaces based on the detection of the theoretical terrain distribution map of region A, determine an aerial flight area of region A based on the synthesis of the multiple flight spaces, and determine an aerial survey route for region A based on the aerial flight area of region A, the power level of the drone, and the camera's shooting range; S122: The UAV flies along the aerial survey route and collects multiple actual images of area A, generates corresponding actual terrain features based on the synthesis of the multiple actual images, and determines the actual terrain distribution map of area A based on the spatial positions of the multiple actual terrain features, the shapes of the actual terrain features, and the theoretical terrain distribution map.

[0021] In an embodiment of the present application, multiple flight spaces are determined based on the detection of the theoretical terrain distribution map of area A, the aerial flight area of area A is determined according to the synthesis of the multiple flight spaces, and the aerial survey route of area A is determined according to the aerial flight area of area A, the power of the drone and the shooting range of the camera. This takes into account the overall consideration of the aerial flight area of area A, the power of the drone and the shooting range of the camera, thereby ensuring the accuracy of the aerial survey route of area A.

[0022] At this point, an in-depth analysis of the theoretical terrain distribution map of area A is conducted. This map usually contains key information such as the topography, landforms, vegetation coverage, and water system distribution of area A. By analyzing this map, it is possible to preliminarily identify which areas are suitable for drone flights and which areas may have flight obstacles or risks.

[0023] Specifically, factors such as terrain undulations, mountain directions, and canyon depths in the theoretical terrain distribution map are checked to determine the space in which the drone can safely fly; at the same time, the drone's flight altitude limit is also considered to ensure that the terrain within the flight space does not exceed the drone's flight capabilities; optionally, assume that an aerial survey mission is being planned for area A, which is located in a mountainous area; when checking the theoretical terrain distribution map, it is found that the area is mainly composed of medium and low mountains and hills, with several deep valleys and steep slopes; based on this information, several flight spaces are preliminarily determined: one is to fly along the gentle ridges of the mountains, where the terrain is relatively flat and the drone maintains a stable flight altitude; the second is to avoid deep valleys and steep slopes, and choose to fly in the wider areas between valleys to reduce flight risks.

[0024] After determining multiple flight spaces, these spaces need to be synthesized to form a complete aerial flight area. This process may involve the connection and overlapping of flight spaces and the unified adjustment of flight altitudes. Specifically, check whether the connection between each flight space is smooth and whether there are obvious terrain obstacles. If there are obstacles, it is necessary to adjust the flight route or select other flight spaces as substitutes. At the same time, the overlap between flight spaces will also be considered to ensure the integrity and accuracy of the aerial survey data. During the synthesis process, it is also necessary to ensure that the height limit of the entire flight area is consistent to avoid problems caused by altitude changes during the flight of the drone. Optionally, after determining the preliminary flight space, the synthesis process is started. It was found that there was a certain degree of overlap between the space flying along the gentle ridges of the mountains and the wider areas between the valleys, which helped to ensure the integrity of the aerial survey data. At the same time, the flight altitude was uniformly adjusted to ensure that the drone could maintain a stable flight altitude throughout the flight area. After the synthesis process, a complete aerial flight area was finally determined.

[0025] After determining the aerial flight area, the specific aerial survey route needs to be planned based on the drone's battery life and the camera's shooting range. This process involves multiple factors such as the drone's endurance, the camera's field of view, and the accuracy requirements of the aerial survey mission.

[0026] Specifically, the maximum distance and duration of each flight are determined based on the drone's battery capacity. The camera's field of view is also considered to ensure that each shot covers the intended terrain area. When planning the survey route, factors such as terrain undulation, wind direction and speed are also considered to ensure the safety and accuracy of the survey mission. Optionally, after determining the flight area, the survey route is planned. Taking into account the drone's battery capacity and the camera's field of view, a segmented flight approach is adopted. Specifically, the entire flight area is divided into several small segments, each with a length and duration within the drone's endurance. Within each segment, the specific flight altitude and shooting angle are determined based on the camera's field of view. Furthermore, the survey route is appropriately adjusted based on the impact of factors such as terrain undulation and wind direction and speed on flight. Ultimately, a safe and efficient survey route is determined. This ensures that the drone can safely and accurately complete its survey mission in Area A. Furthermore, through reasonable survey route planning, survey efficiency and data quality can be maximized.

[0027] Furthermore, the UAV flies along the aerial survey route and collects multiple actual images of area A. The corresponding actual terrain features are generated based on the synthesis of the multiple actual images. The actual terrain distribution map of area A is determined based on the spatial positions of the multiple actual terrain features, the morphology of the actual terrain features and the theoretical terrain distribution map. This takes into account the overall considerations of the spatial positions of the multiple actual terrain features, the morphology of the actual terrain features and the theoretical terrain distribution map, thereby ensuring the accuracy of the actual terrain distribution map of area A.

[0028] At this time, the drone will fly according to the pre-planned aerial survey route; during the flight, the drone will be equipped with a high-resolution camera or other sensor equipment to collect real-time information about the terrain, landforms, vegetation coverage and other features of area A; to ensure the quality of the collected image data, the drone needs to maintain a stable flight attitude and altitude, and the camera or sensor also needs to be accurately calibrated and set; in actual operation, the drone's flight speed, altitude, and camera shooting frequency and other parameters need to be adjusted according to specific circumstances; for example, in areas with complex terrain or dense vegetation, it may be necessary to lower the flight altitude or increase the shooting frequency to obtain more detailed image information.

[0029] Alternatively, assume that an aerial survey of a mountainous area is being conducted. The drone flies along the planned survey route while carrying a high-resolution camera to collect real-time data on the mountainous terrain. During the flight, the drone maintains a stable flight attitude and altitude, and the camera is precisely calibrated and set. As the drone flies, a large amount of actual image data about the mountainous terrain is collected.

[0030] After collecting multiple actual images, they need to be synthesized and processed to generate the corresponding actual terrain features. This process usually includes steps such as image stitching, enhancement, and filtering. Through image stitching, multiple images are stitched into a complete image. Through image enhancement and filtering, the clarity and contrast of the image are improved, thereby more accurately identifying terrain features. In actual operation, the process of image synthesis and processing may need to be completed with the help of professional image processing software or algorithms; at the same time, in order to ensure the accuracy of the processing results, the processing process also needs to be strictly checked and verified; optionally, after collecting a large amount of actual image data about mountainous terrain, image synthesis and processing can be started; first, professional image processing software is used to stitch the images, and multiple images are stitched into a complete mountainous terrain image; then, the image is enhanced and filtered to improve the clarity and contrast of the image; after processing, the undulations of the mountainous terrain, the direction of the mountains, and the distribution of vegetation and other features can be clearly seen.

[0031] After generating the corresponding actual terrain features, it is necessary to combine the spatial location and morphology of these features with the theoretical terrain distribution map to determine the actual terrain distribution map of area A. This process usually includes steps such as spatial analysis, terrain matching, and verification. Spatial analysis is used to determine the specific location of the actual terrain features in area A. Terrain matching is used to compare and match the actual terrain features with the theoretical terrain distribution map. Verification is used to verify the accuracy and reliability of the actual terrain distribution map. In actual operation, this process may need to be completed with the help of geographic information system (GIS) or other spatial analysis software; at the same time, in order to ensure the accuracy of the results, the processing process needs to be strictly checked and verified, including comparison with the actual terrain, cross-validation with other data sources, etc.; optionally, after generating the actual terrain features of the mountainous terrain, start to combine the spatial position, morphology and theoretical terrain distribution map of these features to determine the actual terrain distribution map of area A; first, use GIS software to perform spatial analysis on the actual terrain features and determine their specific locations in the mountainous area; then, compare and match the actual terrain features with the theoretical terrain distribution map, and find that the two are consistent in overall trend, but there are some differences in local areas; in order to verify the accuracy of these differences, field investigations and comparisons were carried out, and finally the accuracy and reliability of the actual terrain distribution map were confirmed; through this process, a detailed and accurate actual terrain distribution map of area A was obtained, which provided strong support for subsequent work and terrain analysis.

[0032] refer to Figure 4In step S13, a plurality of theoretical power supply nodes are determined based on the actual terrain distribution map of region A and the previous power consumption data of region A, and a preliminary grid cost is determined based on the plurality of theoretical power supply nodes and the corresponding theoretical power supply paths; In the specific implementation process of the present invention, the specific steps are: S131: Collecting a town power database, determining past power consumption data for region A based on the town power database and the region name; determining a theoretical total power consumption for region A based on the past power consumption data for region A and the theoretical population of region A; S132: Determine a corresponding theoretical power grid layout diagram based on the theoretical total electricity consumption of area A, the actual terrain distribution map of area A, and the power supply type of the power grid, and mark multiple theoretical power supply nodes in the theoretical power grid layout diagram; determine a preliminary power grid cost based on the spatial positions of the multiple theoretical power supply nodes and the theoretical power supply path of the theoretical power grid layout diagram.

[0033] In an embodiment of the present application, a town power database is collected, and the previous electricity consumption data of area A is determined based on the town power database and the area name of area A; the theoretical total electricity consumption of area A is determined based on the previous electricity consumption data of area A and the theoretical population size of area A, which is compatible with the overall consideration of the previous electricity consumption data of area A and the theoretical population size of area A, thereby ensuring the accuracy of the theoretical total electricity consumption of area A.

[0034] At this time, historical data on urban electricity use are obtained from relevant institutions or databases. These data usually include information such as electricity consumption, peak electricity consumption hours, and electricity consumption distribution in different regions. For region A, if directly relevant electricity data are not available, electricity data from adjacent towns or towns with similar economic, climatic, and living habits characteristics are collected as a reference. Alternatively, assume that a power grid is being planned for County C in a mountainous area. Since directly relevant electricity data for the county is limited, it is decided to collect electricity data from several adjacent counties with similar economies and climates. These data come from the annual electricity consumption report provided by the local power company, which includes information such as monthly electricity consumption and peak electricity consumption hours for each county.

[0035] After collecting the urban power database, it is necessary to extract the power usage data directly related to or most similar to Region A from the database based on the region name. This step may involve processes such as data matching, data cleaning, and data verification. At this time, the region name of Region A is matched with the records in the database to find the most relevant power data; outliers are removed and missing values are filled to ensure the accuracy and completeness of the data; the reliability of the extracted power data is verified by comparing data from different sources. Optionally, after collecting power data from several neighboring counties, by comparing factors such as County C's geographical location, economic development level, and population size, County A, which is most similar to County C, is selected as a reference; from County A's power consumption report, monthly power consumption data for the past five years is extracted as County C's historical power consumption data.

[0036] After determining the past electricity consumption data for Region A, it is necessary to estimate its future electricity demand based on the theoretical population of the region. This step usually involves setting parameters such as per capita electricity consumption and electricity consumption growth rate. At this time, the per capita electricity consumption is calculated based on the past electricity consumption data and population size. A reasonable electricity consumption growth rate is set considering factors such as economic development and improved living standards. The theoretical total electricity consumption is calculated based on the per capita electricity consumption, electricity consumption growth rate, and the theoretical population of Region A. Alternatively, assuming that the theoretical population of County C is 200,000, based on the electricity data of County A, the per capita electricity consumption is calculated to be 500kWh / year. Taking into account the rapid economic development of County C in recent years, the electricity consumption growth rate is set to 5% / year. Therefore, the theoretical total electricity consumption of County C is: 200,000500kWh / year (1 + 5%)^n (n is the forecast period). If the forecast period is 5 years, the theoretical total electricity consumption is approximately 52.5 million kWh.

[0037] In summary, by collecting urban power databases, determining the previous electricity consumption data of Region A, and calculating the theoretical total electricity consumption based on the theoretical population, important data support is provided for the grid planning and power supply in Region A.

[0038] Furthermore, the corresponding theoretical power grid layout diagram is determined according to the theoretical total electricity consumption of area A, the actual terrain distribution map of area A and the power supply type of the power grid, and multiple theoretical power supply nodes are marked in the theoretical power grid layout diagram; the preliminary power grid cost is determined based on the spatial positions of multiple theoretical power supply nodes and the theoretical power supply path of the theoretical power grid layout diagram, which is compatible with the overall consideration of the spatial positions of multiple theoretical power supply nodes and the theoretical power supply path of the theoretical power grid layout diagram, ensures the accuracy of the preliminary power grid cost, and at the same time, realizes the estimation of the preliminary power grid cost and further controls the preliminary power grid cost.

[0039] At this point, the theoretical total electricity consumption of area A, the actual terrain distribution map (including topography, landforms, water systems, building distribution, etc.), and the power supply type of the power grid (such as AC, DC, smart grid, etc.) are used as input data; based on the input data, the power grid layout is designed using power grid planning software or the knowledge of a professional team. This step requires comprehensive consideration of the impact of topography on power grid lines (for example, mountainous areas may require the construction of overhead lines, and rivers may require the construction of cross-river towers), as well as the requirements of the power supply type on the grid structure (for example, smart grids may require more sensors and communication equipment).

[0040] In the grid layout diagram, key power supply nodes are marked, such as substations, power plants, and large power users. These nodes are important components of the power grid and play a key role in the stable operation of the power grid. Alternatively, assume that a power grid is being planned for a mountainous county, C. The county's theoretical total power consumption is 50MW, the terrain is rugged, and there are many rivers crossing it. The AC power supply type is selected, and it is decided to build a 110kV substation as the main substation in the center of the county, and 35kV substations as branch substations near several larger power-consuming villages. The main substation, branch substations, and possible transmission line paths are marked in the grid layout diagram.

[0041] Based on the theoretical grid layout, various grid construction costs are estimated, including but not limited to transmission line material costs, construction costs, substation construction costs, and communications equipment procurement costs. The spatial locations of multiple theoretical power supply nodes and their relative distances are considered, which affect the length and complexity of transmission lines and, consequently, costs. After the initial cost estimate, fine-tuning the grid layout may be necessary to reduce costs, for example, by adjusting substation locations or selecting more economical transmission line routes. Further, the various costs are aggregated to obtain a preliminary grid cost. Optionally, cost estimation can begin after the grid layout is finalized. The construction cost of the main substation is approximately 20 million RMB, the construction cost of each branch substation is approximately 5 million RMB (a total of 4), the material and construction costs of the transmission lines are approximately 30 million RMB (considering the complex mountainous terrain, requiring the erection of overhead lines and river-crossing towers), and the communications equipment procurement costs are approximately 5 million RMB. Therefore, the preliminary grid cost is approximately 65 million RMB. In subsequent work, cost reductions may be considered by adjusting substation locations or selecting more economical transmission line materials.

[0042] In summary, by integrating input data, designing the grid layout, marking power supply nodes, and estimating and analyzing costs, a preliminary grid planning scheme and its cost budget were obtained, which provided an important reference for subsequent grid construction and investment decisions.

[0043] refer to Figure 5, in step S14, if the preliminary grid cost exceeds the preset grid cost threshold, then the optimized power supply area of region A is determined based on the power supply area of the grid and the living distribution area of region A; In the specific implementation process of the present invention, the specific steps are: S141: Determine a corresponding preset grid cost threshold based on the economic data table of region A, the area of region A, and the actual population of region A; and determine a corresponding grid cost difference based on a comparison between the preliminary grid cost and the preset grid cost threshold. S142: Determine a living area in area A based on an actual topographic distribution map of area A and activity paths in area A, and determine multiple electricity consumption areas based on the locations of the living areas and electricity consumption data of the living areas; S143: Determine a power distribution path based on the synthesis of multiple power consumption areas, and determine the optimal power supply area in area A based on the power distribution path, the power supply area of the power grid, and the power grid cost difference. At this time, there are areas without power supply in area A.

[0044] In an embodiment of the present application, the corresponding preset grid cost threshold is determined based on the economic data table of region A, the regional area of region A, and the actual population of region A; the corresponding grid cost difference is determined based on the comparison between the preliminary grid cost and the preset grid cost threshold, which is compatible with the overall consideration of the comparison between the preliminary grid cost and the preset grid cost threshold, and ensures the accuracy of the corresponding grid cost difference.

[0045] At this point, collect economic data tables for Region A, which usually include key economic indicators such as GDP, per capita income, industrial structure, and fiscal status; at the same time, obtain the regional area and actual population of Region A. These data are crucial for assessing the scale and demand of power grid construction.

[0046] Based on the collected economic data, regional area and population, professional methods or models are used to calculate the grid cost threshold. This process may involve comprehensive consideration of multiple factors, such as the economic development level's ability to bear grid investment, the population density's demand for grid coverage, etc. At the same time, after calculating the preliminary cost threshold, the threshold is appropriately adjusted based on factors such as the historical grid construction costs in Region A, future development plans, and possible policy support to ensure its rationality and feasibility.

[0047] Optionally, assume that there is a region A, whose economic data table shows that the GDP is 1 billion yuan, the per capita income is 3,000 yuan, the industrial structure is mainly agricultural, and the financial situation is relatively tight; the area of the region is 500 square kilometers, and the actual population is 100,000; based on these data, the power grid cost estimation model is used for calculation, and it is concluded that the preset cost threshold for power grid construction in the region is 50 million yuan; considering that the economic development in the region is relatively lagging and the financial affordability is limited, but the power grid construction is of great significance to improving residents' lives and promoting economic development, it is decided to fine-tune the threshold and finally determine it as 48 million yuan.

[0048] In step S132, the preliminary grid cost of region A has been obtained. This step needs to ensure the accuracy and completeness of the cost so that it can be compared with the preset grid cost threshold; the preliminary grid cost is compared with the preset grid cost threshold, and the difference between the two is analyzed; if the preliminary grid cost is higher than the preset cost threshold, it means that the grid construction cost exceeds expectations and cost optimization or additional financial support is needed; based on the comparison results, the grid cost difference is calculated. This grid cost difference reflects the part of the grid construction cost that exceeds the budget and is an important basis for subsequent cost optimization and decision adjustment. Optionally, the preliminary grid cost of region A is obtained to be 60 million yuan; this cost is compared with the preset grid cost threshold of 48 million yuan, and it is found that the preliminary grid cost exceeds the preset cost threshold by 12 million yuan; therefore, the grid cost difference is calculated to be 12 million yuan. This difference indicates that region A faces greater cost pressure during the grid construction process and needs to narrow the cost difference through cost optimization, policy support or fund raising.

[0049] In summary, by integrating input data, calculating the preset grid cost threshold, comparing the preliminary grid cost with the preset cost threshold, and calculating the grid cost difference, we can provide cost guidance and decision-making basis for grid construction in Region A. This will help ensure the economy and feasibility of grid construction and promote economic development and social progress in Region A.

[0050] Furthermore, the living distribution area of area A is determined based on the actual terrain distribution map of area A and the activity path of area A, and multiple power consumption areas are determined according to the location of each living distribution area and the power consumption data of each living distribution area. This takes into account the overall location of each living distribution area and the power consumption data of each living distribution area, thereby ensuring the accuracy of multiple power consumption areas.

[0051] At this time, the actual terrain distribution map of area A is collected, which usually includes information such as topography, water system, vegetation coverage, etc.; at the same time, the activity path data of area A is obtained, which may include road networks, main channels for human and logistics flow, traffic nodes, etc.

[0052] Based on topographic maps and activity path data, geographic information systems (GIS) or remote sensing technology are used to identify living areas. This typically involves analyzing topography to identify areas suitable for human habitation and economic activity, such as flat areas, areas near water sources, and areas with convenient transportation. After identifying potential living areas, these areas are further divided and verified based on field visits and feedback from local residents to ensure that the divided areas accurately reflect the living conditions in area A. Alternatively, consider area B, where a topographic map shows that the area is primarily mountainous, with interspersed river valleys and plains. Activity path data indicates that the main roads in the area run along the river valleys, connecting several large villages and markets. Based on this data, GIS technology is used to identify living areas. Analysis of the topography reveals that the river valley plains are relatively flat, have abundant water resources, and are easily accessible, making them suitable for human habitation and economic activity. Therefore, the river valley plains and their surrounding areas suitable for habitation are designated as living areas.

[0053] After determining the residential distribution areas, collect electricity consumption data for each area. This may include historical electricity consumption, peak hours, load characteristics, and other information. This data is crucial for assessing electricity demand in each area and planning the grid layout. Based on electricity consumption data and the geographical location of living areas, living areas are further divided into multiple electricity consumption zones. The division takes into account factors such as the electricity demand, electricity consumption characteristics, and the feasibility of grid coverage of each zone. After the electricity consumption zones are divided, electricity consumption is planned for each zone, which includes determining the electricity load level, electricity consumption growth trend, and the location of grid access points. The planning should ensure that the grid can meet the electricity demand of each zone, while also considering the economic and security of the grid.

[0054] Optionally, electricity consumption data of each village and market in the living distribution area of area A and area B are collected; by analyzing the data, it is found that there are differences in electricity demand and electricity consumption characteristics in different areas; for example, some villages have a large electricity consumption due to dense population and industrial development; while some remote areas have a small electricity consumption due to sparse population and backward economy; based on these data and the geographical location of the living distribution area, the living distribution area is divided into three electricity consumption areas: high electricity consumption area, medium electricity consumption area and low electricity consumption area; the high electricity consumption area is mainly concentrated in villages and markets in the river valley plain, the medium electricity consumption area is located around the high electricity consumption area, and the low electricity consumption area is distributed in remote mountainous areas.

[0055] Next, electricity consumption planning was carried out for each electricity consumption area. For high-power consumption areas, higher power load levels and more grid access points were planned to meet their electricity needs. For medium and low-power consumption areas, corresponding planning was carried out based on their power consumption characteristics and the feasibility of grid coverage.

[0056] In summary, by integrating input data, identifying living areas, collecting electricity consumption data, dividing electricity consumption areas, and conducting electricity consumption planning, we provide a detailed basis for electricity consumption area division and electricity consumption planning for the construction of the power grid in Region A. This helps ensure that the power grid construction can meet the electricity demand in Region A and promote local economic and social development.

[0057] Therefore, the electricity distribution path is determined based on the synthesis of multiple electricity consumption areas, and the optimized power supply area of region A is determined based on the electricity distribution path, the power supply area of the power grid, and the difference in power grid costs. At this time, there are areas without power supply in region A, which is compatible with the overall consideration of the electricity distribution path, the power supply area of the power grid, and the difference in power grid costs, ensuring the accuracy of the optimized power supply area of region A.

[0058] At this point, a comprehensive analysis is conducted on the multiple electricity consumption areas determined in the previous step, taking into account factors such as the geographical relationship between the areas, electricity demand, and load characteristics. Based on the synthesis results of the electricity consumption areas, planning principles for the electricity distribution path are formulated, which usually include goals such as minimizing the path, balancing the load, and maximizing the power supply reliability. At the same time, the restrictions on path planning caused by factors such as topography, traffic conditions, and environmental protection must also be considered.

[0059] By applying path planning principles and combining tools such as geographic information systems (GIS), we can determine the electricity distribution paths between various electricity consumption areas. These paths reflect the main channels for transmitting electricity from the power supply point to each electricity consumption area.

[0060] Optionally, assume that in area C of A, three electricity consumption areas have been identified: high-power consumption area D, medium-power consumption area E, and low-power consumption area F; by analyzing the geographical location and electricity demand of each area, it is found that the high-power consumption area D is located in the central area, surrounded by medium-power consumption area E, and low-power consumption area F is distributed in remote areas; based on this information and path planning principles, the electricity distribution path is determined; the path starts from the central high-power consumption area D and radiates to the surrounding areas, first covering the medium-power consumption area E, and then extending to the low-power consumption area F; the selection of the path takes into account the terrain and traffic conditions to ensure that electricity can be transmitted efficiently and reliably to each power consumption area.

[0061] Matching the grid's power supply areas with electricity consumption distribution paths typically involves assessing grid coverage and the connections between each power supply point and the power consumption area. During the matching process, the impact of grid cost differences on power supply area optimization is fully considered. For higher-cost areas, cost optimization measures or policy support may be needed. For lower-cost areas with greater power demand, their power supply should be prioritized. Based on the matching results and cost considerations, the optimized power supply area is determined. This typically includes clarifying the power supply scope of each power supply point, the power supply priority of the power consumption area, and a plan for grid upgrades and renovations.

[0062] Optionally, in area C of A, the electricity consumption distribution path has been determined, and the power supply areas of the power grid have been matched with the paths; the matching results show that most areas of the high-power consumption area D and the medium-power consumption area E can be covered by the existing power grid, while some areas of the low-power consumption area F cannot be powered; taking into account the difference in power grid costs, it is found that the power supply cost of the low-power consumption area F is relatively high, mainly due to the complex terrain and inconvenient transportation; therefore, it is decided to give priority to the power supply of the high-power consumption area D and the medium-power consumption area E, and at the same time seek cost optimization measures and policy support to gradually expand the coverage of the power grid and ultimately achieve full power supply in area A; for some areas in the low-power consumption area F that cannot be powered, they are identified as non-powered areas, and it is planned to gradually solve their power supply problems in the future through power grid upgrades and transformations, new energy development and other measures.

[0063] In summary, by determining the electricity distribution path, matching the power supply area with the electricity distribution path, considering the difference in grid costs, and determining the optimized power supply area, a detailed power supply area optimization plan is provided for the power grid construction in Region A. This helps ensure that the power grid construction can meet the electricity demand in Region A while considering economic efficiency and feasibility, and promote local economic and social development.

[0064] refer to Figure 6 , in step S15, a plurality of actual distribution nodes are determined based on the optimized power supply area and the actual terrain distribution map, and a final grid cost is determined according to the plurality of actual distribution nodes and the corresponding actual power supply paths; In the specific implementation process of the present invention, the specific steps are: S151: Determine a corresponding power grid construction area based on the optimized power supply area and the actual terrain distribution map, determine a plurality of actual distribution nodes based on various terrain parameters of the power grid construction area and the regional space of the power grid construction area, and determine that a difference in terrain parameters between two adjacent actual distribution nodes is less than a preset difference threshold; S152: Determine a corresponding actual power supply path based on the multiple actual distribution nodes and the optimized power supply area, and determine a corresponding power grid three-dimensional model based on the actual power supply path and the multiple actual distribution nodes; S153: Marking the grid cost control level corresponding to each actual distribution node in the three-dimensional grid model, and determining the final grid cost according to each actual distribution node and the corresponding grid cost control level. The final grid cost is lower than the preliminary grid cost.

[0065] In an embodiment of the present application, the corresponding power grid construction area is determined based on the optimized power supply area and the actual terrain distribution map, and multiple actual distribution nodes are determined according to the various terrain parameters of the power grid construction area and the regional space of the power grid construction area. The difference in terrain parameters between two adjacent actual distribution nodes is less than the preset difference threshold, which is compatible with the overall consideration of the various terrain parameters of the power grid construction area and the regional space of the power grid construction area, thereby ensuring the accuracy of multiple actual distribution nodes.

[0066] At this time, data on the optimized power supply area is collected, which usually includes information such as power supply demand, power load distribution, and grid structure; at the same time, a map of the actual terrain distribution is obtained, which should include terrain parameters such as topography, water system, vegetation cover, and soil type.

[0067] Based on the needs of optimizing the power supply area and the actual terrain distribution map, the division principles of the power grid construction area are formulated. This usually includes considering factors such as terrain flatness, transportation convenience, geological stability, and environmental protection to ensure the feasibility and safety of power grid construction. At the same time, the division principles are applied, combined with technical means such as geographic information systems (GIS), to divide the optimized power supply area into specific power grid construction areas. These areas should cover all locations that require power supply and take into account the impact of topography on power grid construction.

[0068] Optionally, assume that in the optimized power supply area, a vast area including mountains, hills and plains is identified as a potential power grid construction area; through the actual terrain distribution map, it is identified that the mountainous area has steep terrain, complex geology, and greater construction difficulty; the hilly area has undulating terrain, but is relatively flat, and has certain construction conditions; the plain area has flat terrain and convenient transportation, and is an ideal power grid construction area; based on this information, the plain area is divided into the main power grid construction area, while considering the construction of some power grid facilities in the hilly area, and the mountainous area is used as an alternative or restricted construction area.

[0069] Within the grid construction area, various terrain parameters are analyzed, such as slope, elevation, soil type, and water distribution. These parameters will affect the construction difficulty, stability, and safety of grid facilities. Based on the terrain parameter analysis, layout principles for actual distribution nodes are formulated. This usually includes considering factors such as node location, number, spacing, and height to ensure the coverage, power supply reliability, and economy of the grid. Applying these layout principles and combining GIS and other technical means, multiple actual distribution nodes are determined within the grid construction area. These nodes may be the locations of key facilities such as substations, turning points, and branch points of transmission lines.

[0070] To ensure the stability and security of the power grid, the difference in terrain parameters between two adjacent actual distribution nodes needs to be less than a preset difference threshold, which usually includes the threshold setting and control of parameters such as slope difference and elevation difference. Optionally, a terrain parameter analysis was conducted within the determined power grid construction area; it was found that the plain area has flat terrain, small slope, and small elevation difference, making it an ideal area for power grid construction; while the hilly area has undulating terrain but is relatively flat, which has certain construction conditions, but attention needs to be paid to the control of slope and elevation differences. Based on this information, multiple actual distribution nodes were determined in the plain area, such as substations and turning points of transmission lines. At the same time, some nodes were also determined in the hilly area, but attention was paid to controlling the slope and elevation differences between adjacent nodes to ensure the stability and security of the power grid. For example, a threshold of no more than 15 degrees for slope difference and no more than 50 meters for elevation difference was set to ensure that the difference in terrain parameters between adjacent nodes is within a controllable range.

[0071] In summary, by integrating input data, formulating division and layout principles, applying technical means, and controlling the differences in terrain parameters, the power grid construction area and multiple actual distribution nodes were determined, which provided important basic data and basis for subsequent power grid design and construction.

[0072] Furthermore, the corresponding actual power supply path is determined based on multiple actual distribution nodes and optimized power supply areas, and the corresponding power grid three-dimensional model is determined based on the actual power supply path and multiple actual distribution nodes, which is compatible with the overall consideration of the actual power supply path and multiple actual distribution nodes, and ensures the accuracy of the corresponding power grid three-dimensional model.

[0073] At this point, after determining multiple actual distribution nodes, it is first necessary to plan the connections between the nodes based on their locations, functions, and relationships with each other. This includes determining the transmission line paths between the substation and each power consumption area, as well as the branches and intersections between the transmission lines.

[0074] When formulating the actual power supply path, a series of optimization principles need to be followed. These principles may include minimizing the path to reduce power loss, avoiding geologically unstable areas to ensure safety, considering traffic and terrain conditions to reduce construction difficulty and cost, and complying with environmental protection requirements. In order to accurately determine the actual power supply path, a variety of technical means are applied, such as geographic information systems (GIS), remote sensing technology, and drone surveys. These technologies provide accurate topographic data, geological structure information, and traffic conditions, which help optimize the selection of power supply paths.

[0075] Based on node connection planning, optimization principles, and the application of technical means, the actual power supply paths are ultimately determined. These paths transmit electricity from the substation to each power consumption area, ensuring the stability and reliability of the power supply. Optionally, it is assumed that multiple actual distribution nodes have been determined in a certain area, including a main substation and several branch substations, as well as power consumption areas distributed throughout the area; when formulating the actual power supply paths, the principle of path minimization is taken into account, while avoiding geologically unstable areas and nature reserves; GIS technology is used to analyze the topography and assess traffic conditions to determine the optimal path for the transmission line; for example, paths along valleys and rivers are selected because these areas have relatively flat terrain and more convenient transportation; at the same time, transmission line supports and towers are set up when necessary to ensure the safety and stability of the transmission line.

[0076] After determining the actual power supply path, it is necessary to use 3D modeling technology to construct a three-dimensional model of the power grid. This model intuitively displays the layout and structure of the power grid in three-dimensional space, including the path, height, length of the transmission lines, and the location and function of each node. When constructing the three-dimensional power grid model, it is necessary to control the accuracy of the model, which includes ensuring that the path and height of the transmission lines are consistent with the actual situation, the location and function of the nodes are accurate, and the overall proportion and details of the model meet actual needs.

[0077] : The three-dimensional model of the power grid is widely used in power grid design, construction, operation and maintenance, and planning. It helps engineers better understand the structure and function of the power grid, conduct fault simulation and analysis, optimize the operation efficiency of the power grid, and formulate future power grid development plans. Optionally, after determining the actual power supply path, a three-dimensional model of the power grid is constructed using 3D modeling software. This model clearly shows the path, height and length of the transmission line, as well as the location and function of each node. The accuracy of the model is controlled according to actual needs to ensure the accuracy and practicality of the model. For example, the height and path of the transmission line are adjusted to ensure that they do not conflict with buildings or trees on the ground. At the same time, the model is optimized in detail, such as adding supports and towers for the transmission lines, marking the names and functions of each node, etc. This three-dimensional model of the power grid provides strong visualization support for subsequent power grid construction and operation and maintenance, helping to better understand the structure and function of the power grid and optimize the operation efficiency of the power grid.

[0078] In summary, by determining the actual power supply path and building a three-dimensional model of the power grid, important basic data and visualization support are provided for the design, construction, operation and maintenance, and planning of the power grid. This helps to ensure the stability and reliability of the power grid, improve the operating efficiency of the power grid, and promote the sustainable development of the power industry.

[0079] Therefore, each actual distribution node in the three-dimensional model of the power grid is marked with a corresponding power grid cost control level, and the final power grid cost is determined based on each actual distribution node and the corresponding power grid cost control level. The final power grid cost is lower than the preliminary power grid cost, which is compatible with the overall consideration of each actual distribution node and the corresponding power grid cost control level, ensuring the accuracy of the final power grid cost. At the same time, the final power grid cost is generated by further control of the preliminary power grid cost, and the actual power supply path is planned to be suitable for the actual scenario in area A, thereby realizing reasonable control of the power grid cost in area A.

[0080] At this time, the definition and classification standards of the power grid cost control level should be clarified, which is usually based on a comprehensive consideration of multiple factors such as the importance of the node, construction difficulty, maintenance cost, risk level, etc.; for example, the cost control level is divided into three levels: high, medium and low. Among them, high-level nodes are crucial to the overall operation of the power grid, with higher construction and maintenance costs and greater risks; medium-level nodes have a certain impact on the operation of the power grid, with moderate costs and risks; low-level nodes have less impact on the operation of the power grid, with lower construction and maintenance costs and lower risks.

[0081] After defining the cost control level, it is necessary to evaluate each actual distributed node in the three-dimensional model of the power grid and divide the level according to the evaluation results. This usually includes collecting detailed information about the node, such as location, function, construction conditions, maintenance history, etc., and then using evaluation models or expert scoring methods to conduct quantitative analysis to finally determine the cost control level of each node.

[0082] After determining the cost control level of each node, it is necessary to mark it in the three-dimensional model of the power grid. This is achieved by adding colors, labels or annotations to each node in the model, so as to intuitively display the cost control level information of each node; optionally, assume that a three-dimensional model of a power grid containing multiple substations and transmission lines is being constructed; when evaluating each node, it is found that one of the substations is located in a mountainous area with complex construction conditions and greater difficulty in maintenance and operation, so it is classified as a high-level cost control node; the other substation is located in a plain area with good construction conditions and lower maintenance and operation costs, so it is classified as a low-level cost control node; in the three-dimensional model of the power grid, different colors or labels are used to mark the cost control levels of the two substations so that they can be distinguished in the subsequent cost analysis and optimization process.

[0083] After determining the cost control level of each node, a cost estimation method needs to be developed, which usually includes collecting relevant cost data, such as equipment purchase costs, installation costs, operation and maintenance costs, risk loss costs, etc., and then making estimates based on the cost control level of the node and the actual situation; for high-level cost control nodes, a more sophisticated cost estimation method may be required to fully consider the high cost and high risk of their construction and maintenance; for low-level cost control nodes, a simpler cost estimation method is used.

[0084] At the same time, after cost estimation, the cost of each node needs to be analyzed and optimized, which includes identifying nodes and links with higher costs, analyzing the reasons, and taking corresponding optimization measures; for example, for high-level cost control nodes, consider using more advanced technologies and equipment to reduce construction and maintenance costs; for low-level cost control nodes, further optimize the design to improve efficiency and reliability.

[0085] After cost estimation, analysis, and optimization, the final grid cost is calculated, which usually includes the sum of the construction and maintenance costs of all nodes, as well as possible risk loss fees. By comparing the preliminary grid cost (i.e., the cost without optimization and cost control), the effectiveness of the cost control measures is evaluated and the rationality of the final grid cost is verified. Optionally, after determining the cost control level of each node, cost estimation and analysis are started. For mountain substations with high-level cost control, a more refined cost estimation method is adopted, taking into account the high cost and high risk of their construction and maintenance. By optimizing the design and adopting more advanced technologies and equipment, the construction and maintenance costs of the substation are successfully reduced. For substations in plain areas with low-level cost control, the design is further optimized to improve efficiency and reliability. Finally, the total cost of the grid is calculated, and it is found that the final grid cost is significantly lower than the preliminary grid cost due to cost control measures. This proves that the cost control measures are effective and provides strong support for subsequent grid construction and operation and maintenance.

[0086] See also Figure 7 , Figure 7 : is a schematic diagram of the structure of a regional power grid cost control system in an embodiment of the present invention; the regional power grid cost control system includes: Theoretical terrain distribution map module 21 is used to determine the theoretical terrain distribution map of area A based on the area name and the corresponding location of area A; The actual terrain distribution map module 22 is used to determine the actual terrain distribution map of area A based on multiple actual images collected by the drone and the theoretical terrain distribution map; A preliminary grid cost module 23 is configured to determine a plurality of theoretical power supply nodes based on an actual topographic distribution map of region A and past power consumption data of region A, and to determine a preliminary grid cost based on the plurality of theoretical power supply nodes and corresponding theoretical power supply paths; The power supply area optimization module 24 is configured to determine an optimized power supply area in region A based on the power supply area of the power grid and the living distribution area of region A if the preliminary power grid cost exceeds a preset power grid cost threshold; The final grid cost module 25 is configured to determine a plurality of actual distribution nodes based on the optimized power supply area and the actual terrain distribution map, and determine a final grid cost according to the plurality of actual distribution nodes and the corresponding actual power supply paths.

[0087] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A method for controlling the cost of a regional power grid, characterized in that: include: Determine a theoretical topographic distribution map of region A based on the region name and the corresponding location of region A; Determine the actual terrain distribution map of area A based on multiple actual images collected by the drone and the theoretical terrain distribution map; Based on the actual topographic distribution map of Region A and the historical electricity consumption data of Region A, multiple theoretical power supply nodes are determined, and preliminary grid costs are determined based on the multiple theoretical power supply nodes and the corresponding theoretical power supply paths; If the preliminary grid cost exceeds the preset grid cost threshold, the optimized power supply area in Region A is determined based on the power supply area of the grid and the living distribution area in Region A; A plurality of actual distribution nodes are determined based on the optimized power supply area and the actual terrain distribution map, and a final power grid cost is determined according to the plurality of actual distribution nodes and the corresponding actual power supply paths.

2. The method for controlling regional power grid costs according to claim 1, characterized in that: Determining a theoretical topographic distribution map of region A based on the region name and the corresponding location of region A includes: Collecting the region name of region A, determining a distribution map of region A based on the region name of region A and a town database, and determining a three-dimensional model of region A based on the distribution map of region A and the location of region A; Based on the detection of the three-dimensional model of area A, multiple ground contours are determined, multiple stepped terrains are formed based on the synthesis of the multiple ground contours, and a theoretical terrain distribution map of area A is determined based on the synthesis of the multiple stepped terrains, and the corresponding terrain parameters are marked.

3. The method for controlling regional power grid costs according to claim 1, characterized in that: Determining the actual terrain distribution map of area A based on the multiple actual images collected by the drone and the theoretical terrain distribution map includes: Based on the detection of the theoretical terrain distribution map of area A, multiple flight spaces are determined. The aerial flight area of area A is determined based on the synthesis of the multiple flight spaces. The aerial survey route of area A is determined based on the aerial flight area of area A, the power level of the drone, and the camera's shooting range. The UAV flies along the aerial survey route and collects multiple actual images of area A. The corresponding actual terrain features are generated based on the synthesis of multiple actual images. The actual terrain distribution map of area A is determined based on the spatial positions of the multiple actual terrain features, the morphology of the actual terrain features and the theoretical terrain distribution map.

4. The method for controlling regional power grid costs according to claim 1, characterized in that: The method of determining a plurality of theoretical power supply nodes based on the actual topographic distribution map of region A and the previous power consumption data of region A, and determining a preliminary power grid cost based on the plurality of theoretical power supply nodes and the corresponding theoretical power supply paths, includes: Collect the urban power database, determine the previous electricity consumption data of area A based on the urban power database and the area name of area A; determine the theoretical total electricity consumption of area A based on the previous electricity consumption data of area A and the theoretical population of area A.

5. The method for controlling regional power grid costs according to claim 4, characterized in that: The method of determining a plurality of theoretical power supply nodes based on the actual terrain distribution map of area A and the previous power consumption data of area A, and determining a preliminary power grid cost based on the plurality of theoretical power supply nodes and the corresponding theoretical power supply paths, further includes: Based on the theoretical total electricity consumption in area A, the actual terrain distribution map of area A, and the power supply type of the power grid, the corresponding theoretical power grid layout diagram is determined, and multiple theoretical power supply nodes are marked in the theoretical power grid layout diagram; the preliminary power grid cost is determined based on the spatial positions of the multiple theoretical power supply nodes and the theoretical power supply path of the theoretical power grid layout diagram.

6. The method for controlling regional power grid costs according to claim 1, characterized in that: If the preliminary grid cost exceeds the preset grid cost threshold, then determining the optimized power supply area in area A based on the power supply area of the grid and the living distribution area in area A includes: The corresponding preset grid cost threshold is determined based on the economic data table of region A, the regional area of region A, and the actual population of region A; and the corresponding grid cost difference is determined based on the comparison between the preliminary grid cost and the preset grid cost threshold.

7. The method for controlling regional power grid costs according to claim 6, characterized in that: If the preliminary grid cost exceeds the preset grid cost threshold, determining the optimal power supply area for region A based on the power supply area of the grid and the living distribution area of region A, further comprising: Determine the living distribution area of area A based on the actual topographic distribution map of area A and the activity paths of area A, and determine multiple electricity consumption areas based on the location of each living distribution area and the electricity consumption data of each living distribution area; The power distribution path is determined based on the synthesis of multiple power consumption areas, and the optimized power supply area in area A is determined based on the power distribution path, the power supply area of the power grid, and the power grid cost difference. At this time, there are areas without power supply in area A.

8. The method for controlling regional power grid costs according to claim 1, characterized in that: The determining of a plurality of actual distribution nodes based on the optimized power supply area and the actual terrain distribution map, and determining a final grid cost according to the plurality of actual distribution nodes and the corresponding actual power supply paths, includes: The corresponding power grid construction area is determined based on the optimized power supply area and the actual terrain distribution map, and multiple actual distribution nodes are determined according to the various terrain parameters of the power grid construction area and the regional space of the power grid construction area. The difference in terrain parameters between two adjacent actual distribution nodes is less than a preset difference threshold.

9. The method for controlling regional power grid costs according to claim 8, characterized in that: The method of determining a plurality of actual distribution nodes based on the optimized power supply area and the actual terrain distribution map, and determining a final power grid cost according to the plurality of actual distribution nodes and the corresponding actual power supply paths, further includes: Determine a corresponding actual power supply path based on multiple actual distribution nodes and the optimized power supply area, and determine a corresponding power grid three-dimensional model based on the actual power supply path and the multiple actual distribution nodes; Each actual distribution node in the three-dimensional power grid model is marked with a corresponding power grid cost control level. The final power grid cost is determined based on each actual distribution node and the corresponding power grid cost control level. The final power grid cost is lower than the preliminary power grid cost.

10. A regional power grid cost control system, characterized in that: The regional power grid cost control system is applied to the regional power grid cost control method according to any one of claims 1 to 9, and the regional power grid cost control system includes: The theoretical terrain distribution map module is used to determine the theoretical terrain distribution map of area A based on the area name and the corresponding location of area A; The actual terrain distribution map module is used to determine the actual terrain distribution map of area A based on multiple actual images collected by the drone and the theoretical terrain distribution map; A preliminary power grid cost module is used to determine multiple theoretical power supply nodes based on the actual topographic distribution map of area A and the previous power consumption data of area A, and to determine the preliminary power grid cost based on the multiple theoretical power supply nodes and the corresponding theoretical power supply paths; An optimized power supply area module is used to determine an optimized power supply area in area A based on the power supply area of the power grid and the living distribution area in area A if the preliminary power grid cost exceeds a preset power grid cost threshold; The final grid cost module is used to determine multiple actual distribution nodes based on the optimized power supply area and the actual terrain distribution map, and to determine the final grid cost according to the multiple actual distribution nodes and the corresponding actual power supply paths.

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