Regional grid division method and system for power distribution network

Abstract

The invention relates to the technical field of grid division, and discloses a grid division method and system for a power distribution network region, and the method comprises the steps: achieving the precise analysis of the dynamic adjustment of a city boundary and the land use through the integration of city expansion and land use change data, and the combination of a cabling rate and load density data; the real-time response capability to the multi-region development speed and the power demand is enhanced, the flexibility of the power distribution network is improved, the accuracy of power distribution load trend analysis is enhanced after climate change and historical load data are integrated, so that the substation point location and net rack layout decision is more scientific, and according to the current situation and regional characteristics of the power distribution net rack, the power distribution efficiency is improved. According to the method, the power grid can be finely planned according to the requirements of different regions, such as load saturation and rapid development regions, and the fault response and the overall structure of the power grid are optimized by dynamically adjusting the management direction.

Description

Technical Field

[0001] The present invention relates to the technical field of grid division, and in particular, to a method and system for dividing the grid of a distribution network area. Background Art

[0002] Grid division in the management of a distribution network involves dividing a complex power distribution system into multiple relatively independent grids according to the actual situation such as the current grid structure, load distribution, and geographical demarcation. Each grid usually includes several sets of standard wiring for direct power supply, so that each grid maintains relative independence geographically and electrically, and there is only an electrical connection at the high-voltage substation level. This technology is not only carried out based on urban planning and geographical demarcation, but also takes into account the electricity consumption requirements of different blocks, such as the cable rate. Grid division also involves the layout decision of substations and their impact on the layout of medium- and low-voltage grids to achieve optimized power distribution.

[0003] Among them, the method for dividing the grid of a distribution network area in the spatio-temporal dimension is a technology that uses geographical and time data to optimize the structure of a power distribution network. This method takes into account geographical demarcation, load density, the existing grid structure of the power distribution network and its development characteristics (such as load saturation and rapidly developing areas) to plan the locations of high-voltage distribution network substations and the medium- and low-voltage distribution network architecture. This hierarchical grid division (L1, L2, and L3 levels) allows the power grid to be detailedly planned according to the specific requirements and characteristics of different regions, enhances the adaptability of the power grid to future demands, and improves the efficiency of fault handling.

[0004] The existing technology relies on fixed urban planning and geographical demarcation for grid division, lacking the ability to optimize the structure of the power distribution network using spatio-temporal data. When dealing with the power distribution requirements in load saturation areas or rapidly changing areas, it fails to reflect the changing demands of power and technology in real time. The existing grid division does not consider the influence of the cable rate and does not update the power distribution load trend in a timely manner, making the layout of substations and the medium- and low-voltage grid layout unable to adapt to the demand changes in a timely manner, affecting the power distribution efficiency and the system response ability. Due to the lack of an effective real-time management and feedback mechanism, the fault handling efficiency is low, which not only prolongs the power restoration time but also affects the power supply reliability and safety. Summary of the Invention

[0005] In view of the above existing problems, the present invention is proposed.

[0006] Therefore, the present invention provides a method and system for partitioning a distribution network area grid, which can solve the technical problems existing in the prior art, such as relying on fixed urban planning and geographical boundaries for grid partitioning, lacking the ability to optimize the distribution network structure using spatio-temporal data, failing to reflect the changing demands of electricity and technology in real time when dealing with the distribution demands in load saturation areas or rapidly changing areas, the existing grid partitioning not considering the impact of cableization rate and not updating the distribution load trend in a timely manner, resulting in the substation layout and medium- and low-voltage grid layout being unable to adapt to the demand changes in a timely manner, affecting the power distribution efficiency and system response ability, and due to the lack of an effective real-time management and feedback mechanism, the fault handling efficiency is low, not only prolonging the power restoration time, but also affecting the power supply reliability and security.

[0007] To solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a method for partitioning a distribution network area grid, including:

[0009] Obtain the first change data of the target area and perform a first evaluation according to the first change data;

[0010] The first change data is the target area expansion and land use change data;

[0011] Obtain the first candidate areas according to the first evaluation result;

[0012] Determine the distribution network grid partitioning area to be adjusted according to the first candidate areas, and obtain the first adjustment strategy;

[0013] Perform the physical layout of the distribution network according to the first adjustment strategy, and obtain the distribution efficiency of the distribution network before and after the layout;

[0014] Perform a first optimization operation according to the distribution efficiency of the distribution network before and after the layout to obtain an optimized distribution network area grid partitioning method.

[0015] As a preferred embodiment of the method for partitioning a distribution network area grid of the present invention, wherein: the obtaining of the first change data of the target area and performing a first evaluation according to the first change data includes:

[0016] Divide the target area into several small areas, and calculate the area expansion index of the several small areas based on the first change data;

[0017] Based on the area expansion index, quantitatively evaluate the load density and cableization rate of the several small areas, and calculate the power demand information;

[0018] Based on the power demand information, perform matching analysis on the power demand, evaluate the grid capacity requirements within the current and future fixed time periods, as well as the power supply and demand balance in several small regions, to obtain the first evaluation result.

[0019] As a preferred solution of the distribution network area grid division method described in the present invention, wherein: the obtaining the first candidate area according to the first evaluation result includes:

[0020] According to the first evaluation result, in combination with the first historical data, obtain the first load growth overview;

[0021] Based on the first load growth overview, locate the optimal layout positions of the high-voltage distribution network substations and the medium- and low-voltage network frameworks, and verify whether the distribution layout matches the regional load demand, to obtain the distribution layout map;

[0022] Based on the distribution layout map, evaluate the efficiency and capacity of the high-voltage and medium- and low-voltage network frameworks, to obtain the first candidate area.

[0023] As a preferred solution of the distribution network area grid division method described in the present invention, wherein: the determining the distribution network grid division area to be adjusted according to the first candidate area and obtaining the first adjustment strategy includes:

[0024] Based on the first candidate area, compare the deviation between the current power load and the predicted value in several small regions, identify the high-deviation regions, and quantify the load difference between regions, to obtain the load deviation details;

[0025] Based on the load deviation details, determine the grid regions to be adjusted, in combination with the current distribution network layout and regional development data, reset the new regional grid boundaries, to obtain the grid optimization map;

[0026] Based on the grid optimization map, evaluate the distribution network capacity and load saturation in several small regions, formulate corresponding adjustment processes for each small region, to obtain the first adjustment strategy.

[0027] As a preferred solution of the distribution network area grid division method described in the present invention, wherein: the performing the physical layout of the distribution network according to the first adjustment strategy and obtaining the distribution network power distribution efficiency before and after the layout includes:

[0028] Based on the first adjustment strategy, adjust the physical layout of the distribution network, to obtain the implementation adjustment record;

[0029] Based on the implementation adjustment record, monitor the adjusted power load data, to obtain the distribution network power distribution efficiency before and after the layout.

[0030] As a preferred embodiment of the method for partitioning the distribution network area grid according to the present invention, the first optimization operation is performed based on the distribution efficiency of the distribution network before and after the layout, and the optimized distribution network area grid partitioning method includes:

[0031] Based on the distribution efficiency of the distribution network before and after the layout, analyze the energy efficiency data of each small area to obtain the efficiency improvement analysis result;

[0032] The first optimization operation includes dynamically adjusting the management direction of the distribution network based on the efficiency improvement analysis result, optimizing the fault response speed and load management, and verifying whether the distribution network structure matches the current power demand to obtain the distribution structure optimization result;

[0033] Take the grid partitioning result after the first optimization operation as the final distribution network area grid partitioning method.

[0034] As a preferred embodiment of the method for partitioning the distribution network area grid according to the present invention, it further includes:

[0035] The first evaluation result includes land use type, power consumption prediction information, and urban development area;

[0036] The first candidate area includes high-voltage network points, distribution area boundaries, and network connection density;

[0037] The first adjustment strategy includes adjusting the demand block, prediction deviation analysis result, and load balance state;

[0038] The final distribution network area grid partitioning method includes the distribution structure adjustment direction and the fault response improvement result.

[0039] In a second aspect, the present invention provides a distribution network area grid partitioning system, including:

[0040] An evaluation module, configured to obtain the first change data of the target area and perform a first evaluation according to the first change data;

[0041] The first change data is the target area expansion and land use change data;

[0042] A candidate area acquisition module, configured to obtain a first candidate area according to the first evaluation result;

[0043] A strategy acquisition module, configured to determine the distribution network grid partitioning area to be adjusted according to the first candidate area and obtain a first adjustment strategy;

[0044] An efficiency acquisition module, configured to perform the physical layout of the distribution network according to the first adjustment strategy and obtain the distribution efficiency of the distribution network before and after the layout;

[0045] An optimization module for performing a first optimization operation based on the power distribution efficiency of the distribution network before and after the layout to obtain an optimized distribution network area grid division method.

[0046] In a third aspect, the present invention provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the method described above are implemented.

[0047] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method described above are implemented.

[0048] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention proposes a method and system for dividing the distribution network area grid, obtaining the first change data of the target area, and performing the first evaluation according to the first change data; obtaining the first candidate area according to the first evaluation result; determining the distribution network grid division area to be adjusted according to the first candidate area, and obtaining the first adjustment strategy; performing the physical layout of the distribution network according to the first adjustment strategy, and obtaining the power distribution efficiency of the distribution network before and after the layout; performing the first optimization operation according to the power distribution efficiency of the distribution network before and after the layout to obtain an optimized distribution network area grid division method. By comprehensively integrating urban expansion and land use change data, combining with cableization rate and load density data, accurate analysis of dynamic adjustment of urban boundaries and land uses is realized, the real-time response ability to the development speed and power demand of multiple regions is enhanced, the flexibility of the distribution network is improved, and after integrating climate change and historical load data, the accuracy of distribution load trend analysis is strengthened, making the substation location and grid layout decision-making more scientific. Based on the current situation of the distribution network framework and regional characteristics, such as load saturation and rapidly developing areas, the power grid can be carefully planned according to the needs of different regions, and by dynamically adjusting the management direction, the fault response and overall structure of the power grid are optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings without creative efforts.

[0050] Figure 1 It is a method flowchart of a method for dividing the distribution network area grid provided by an embodiment of the present invention.

[0051] Figure 2 It is an internal structure diagram of a computer device of a method for dividing the distribution network area grid provided by an embodiment of the present invention. Detailed implementation manners

[0052] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will describe the specific implementation manners of the present invention in detail with reference to the accompanying drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0053] Example 1. Refer to Figure 1 - Figure 2 , which is the first embodiment of the present invention. This embodiment provides a method for dividing the grid of a distribution network area, including:

[0054] In the existing related technologies, there are some problems, such as relying on fixed urban planning and geographical boundaries for grid division, resulting in the inability to reflect the changes in power demand in real time. Especially when dealing with the distribution requirements in areas with load saturation or rapid changes, it is particularly insufficient.

[0055] This application provides a method that can effectively solve the above-mentioned problems. Next, multiple embodiments will be combined to elaborate in detail how to implement this method for dividing the grid of a distribution network area;

[0056] Figure 1 The flowchart of a method for dividing the grid of a distribution network area is shown, including:

[0057] S101, obtain the first change data of the target area, and perform a first evaluation according to the first change data;

[0058] In an optional embodiment, in this application, the grid division of the distribution network area is for a large area, for example, a city or a super-large industrial area. The first change data may come from the urban planning department, the land management department, or the geographic information system. These data detail the expansion trend of the target area, the new land use plan, and any other factors that may affect the grid layout.

[0059] Specifically, the following steps are described by taking a city as the target area in this application.

[0060] In the embodiment of this application, the first change data is the target area expansion and land use change data, that is, the urban expansion and land use change data of the city used in this application.

[0061] In an alternative embodiment, the operation of evaluating the first change data may include subdividing the target area into smaller geographical units and then performing a detailed land use analysis on each unit. This analysis not only considers the existing land use conditions but also predicts future land use changes, such as the development of new residential, commercial, or industrial areas. Based on the results of these analyses, the growth potential of electricity demand for each small area can be calculated, providing a basis for subsequent grid layout adjustments.

[0062] In another alternative embodiment, the impact of the cabling rate may also be considered. The cabling rate refers to the proportion of cable lines in the power grid, which reflects the modernization level and power supply reliability of the power grid. With the acceleration of urbanization, cable lines have gradually become the mainstream of urban power grid construction due to their advantages such as small floor area, stable power supply, and convenient maintenance. Therefore, when evaluating the first change data, the changing trend of the cabling rate must be fully considered to ensure the forward-looking and feasibility of the power grid layout adjustment plan.

[0063] In another alternative embodiment, historical load data and climate change information may also be integrated to more accurately predict future electricity demand. Historical load data provides the actual situation of power grid operation, helping to identify the laws and trends of load changes. Climate change information, especially the frequency and intensity of extreme weather events, poses higher requirements for the stable operation and load management of the power grid. By comprehensively considering these factors, a more scientific and reasonable power grid layout adjustment plan can be formulated to improve the adaptability and resilience of the power grid.

[0064] In the embodiment of the present application, the obtaining of the first change data of the target area and the first evaluation based on the first change data include:

[0065] Dividing the target area into several small areas, and calculating the area expansion index of the several small areas based on the first change data;

[0066] Based on the area expansion index, quantitatively evaluate the load density and cabling rate of the several small areas, and calculate the electricity demand information;

[0067] Based on the electricity demand information, perform a matching analysis on the electricity demand, evaluate the grid capacity demand within the current and future fixed time periods, and the power supply and demand balance status of the several small areas, to obtain the first evaluation result.

[0068] Specifically, dividing the target area into several small areas and calculating the area expansion index of the several small areas based on the first change data includes:

[0069] Step 1. When data on urban boundary changes are collected, perform sub-regional processing and eliminate outliers, null values, and redundant information in the data during the processing;

[0070] Step 2. When data cleaning is completed, generate an annual land use change table using remote sensing images and land use classification data;

[0071] Step 3. When having the annual land use change table, divide the target area into agricultural land, construction land, and unused land according to land use, and label them as Region A, Region B,..., Region N;

[0072] Step 4. When the sub-regions and their land use divisions are determined, calculate the expansion area and expansion rate of each region based on the annual land use change of each small region to obtain regional expansion indicators;

[0073] Step 4.1. If remote sensing image data at multiple time points are available, use these data to analyze the change rate of each land use;

[0074] Step 4.2. If a spatial distribution raster analysis of the land use conversion rate in different regions is carried out, extract the expansion direction and rate indicators of different regions from it;

[0075] Step 4.3 When combining spatial data such as regional terrain features and population density,

[0076] Step 4.3.1. If terrain feature data are available, combine it with the previously calculated expansion rate and direction to verify the expansion indicators;

[0077] Step 4.4.2. If population density data are available, use it for verification as well to ensure that the values of the land use conversion rate and the expansion situation indicators of the urban boundary reflect the actual situation.

[0078] Furthermore, quantitatively evaluate the load density of the region, count the electricity load data of each region, calculate the load value per unit area, and classify and grade the regions according to the size of the load density;

[0079] Furthermore, collect the cableization data of power facilities in the region at the same time, analyze the cableization rate by calculating the proportion of cableized lines in the region;

[0080] Furthermore, further combine the regional expansion indicators to predict the future development speed and analyze the development trend of the regional electricity load;

[0081] Furthermore, evaluate the regional electricity demand according to the future growth rate and development plan;

[0082] Furthermore, perform electricity load forecasting for each combined area, analyze the load demand in the current and future time periods, and finally obtain the electricity demand information for each area.

[0083] Furthermore, extract the current load data and the predicted future load data, match and analyze the electricity demand of the area with the power supply capacity of the existing power grid, analyze the differences between supply and demand by comparing the current supply-demand balance, combine the load forecasting data for different future time periods, adjust the power supply capacity parameters within the area, simulate the power distribution under different load scenarios, evaluate the power demand transfer and correlation between different areas, analyze the expansion demand of the current power grid, further predict the supply-demand balance state and the power grid capacity in multiple time periods, and obtain a preliminary assessment overview of the power grid demand, that is, the first assessment result.

[0084] In the embodiment of the present application, the first assessment result includes land use type, electricity consumption prediction information, and urban development area.

[0085] It should be noted that obtaining the first change data of the target area and performing the first assessment based on the first change data can comprehensively consider multiple factors such as urban expansion, land use change, cable rate, load density, and climate change, so as to ensure the forward-looking and feasibility of the power grid layout adjustment plan. Through detailed regional division and land use analysis, the growth potential of electricity demand in each small area can be accurately predicted, providing a scientific basis for optimizing the power grid layout. At the same time, integrating historical load data and climate change information can more accurately grasp the laws and trends of load changes, improving the adaptability and resilience of the power grid. This comprehensive assessment method not only helps to solve the problem that the power grid layout in the prior art cannot reflect the changes in electricity demand in real time, but also effectively improves the flexibility and reliability of the distribution network, providing a strong guarantee for the sustainable development of the city.

[0086] S102, obtain the first candidate area according to the first assessment result;

[0087] It should be noted that according to the first assessment result, it can be judged which areas can be renovated to improve the power supply efficiency, that is, the areas that need to be focused on in the regional grid division of the distribution network are determined. These areas may have high growth potential of electricity demand or problems with unreasonable power grid layout. The determination of the first candidate area can provide a clear direction and goal for the subsequent power grid layout adjustment.

[0088] In the embodiment of the present application, obtaining the first candidate area according to the first assessment result includes:

[0089] According to the first assessment result, combine the first historical data to obtain the first load growth overview;

[0090] Based on the first load growth overview, locate the optimal layout positions of high-voltage distribution network substations and medium- and low-voltage grid frameworks, and verify whether the distribution layout matches the regional load demand to obtain a distribution layout map;

[0091] Based on the said distribution layout map, evaluate the efficiency and capacity of the high-voltage and medium- and low-voltage grid frameworks to obtain a first candidate area.

[0092] In an alternative embodiment, obtaining the first candidate area according to the first evaluation result can be achieved by constructing a comprehensive evaluation model. This model will first analyze key data such as land use types, electricity consumption prediction information, and urban development areas in the first evaluation result, and calculate the electricity demand growth potential and the priority of grid layout optimization for each area through algorithms. Then, combined with the first historical data, that is, the data of past grid operation and load growth, obtain the first load growth overview, which helps to more accurately predict the future electricity demand trend. Next, the model will use this data to locate the optimal layout positions of high-voltage distribution network substations and medium- and low-voltage grid frameworks to ensure that the power supply can efficiently and stably meet the load demands of each area. At the same time, the model will also verify whether the distribution layout matches the regional load demand, generate a distribution layout map, and provide intuitive and clear guidance for subsequent grid adjustment. Finally, based on the distribution layout map, further evaluate the efficiency and capacity of the high-voltage and medium- and low-voltage grid frameworks, identify potential problems and areas that need to be optimized in the grid layout, and obtain the first candidate area.

[0093] In an alternative embodiment, obtaining the first candidate area according to the first evaluation result can also adopt the geographic information system (GIS) technology to assist in decision-making. GIS can integrate multiple data sources, including geographic information, land use, population distribution, etc. Through spatial analysis functions, it can more intuitively display the matching degree between the grid layout and the regional load demand, and help decision-makers quickly identify potential problem areas and optimization directions. In addition, GIS also supports dynamic simulation and prediction, and can simulate the grid operation status under different scenarios, providing more comprehensive data support for the determination of the first candidate area.

[0094] In the embodiment of the present application, the method of establishing a model is used. Among them, obtaining the first load growth overview according to the first evaluation result and combining the first historical data includes:

[0095] Step 10: When starting to collect historical load data and climate change records, that is, the first historical data, sort out the long-term climate data (including indicators such as temperature, precipitation, wind speed, etc.), and conduct corresponding analysis with the historical records of regional electricity consumption load to ensure the alignment of the time series of the data;

[0096] Step 11. When the data collection and preliminary arrangement are completed, extract the load change trends under high temperature, extreme cold, or high humidity conditions by matching time series data, and decompose different load categories (such as daily peak load, seasonal load, and annual growth load);

[0097] Step 11.1. If it is found that there is a significant load change trend under specific meteorological conditions, record the load characteristics under these conditions;

[0098] Step 12. When the load change trends under different meteorological conditions are identified, conduct an attribution analysis of the load trends by combining the data on regional population density changes and industrial structure changes;

[0099] Step 12.1. If the analysis shows that the load in certain regions has increased due to population growth or industrial transformation, divide these regions into high load growth areas;

[0100] Step 12.2. If the load growth is relatively gentle, divide the region into medium load growth areas;

[0101] Step 12.3. If the load hardly grows or even decreases, define it as a low load growth area;

[0102] Step 13. When the load growth types of each region are determined, identify high load growth regions by comparing the regional load growth rate and the actual load change rate;

[0103] Step 13.1. If abnormal change points are found during the comparison, further analyze the reasons for the sharp increase in load that may be caused by external factors, such as the start of a new industrial project or an extreme weather event;

[0104] Step 13.1. If potential risk points are confirmed, mark them in detail and include them in the first load growth overview report.

[0105] Furthermore, based on the first load growth overview, locate the optimal layout positions of high-voltage distribution network substations and medium- and low-voltage network frameworks, and verify whether the distribution layout matches the regional load demand to obtain a distribution layout map, specifically including:

[0106] Step a. Locate the current layout positions of high-voltage distribution network substations and medium- and low-voltage network frameworks within the region;

[0107] Step b. Extract the geographical coordinates and capacity information of existing power facilities within the region, and analyze the coverage area and power supply capacity of the distribution network;

[0108] Step c. Combine the location data of high load growth regions within the region, and use the spatial distribution analysis method to identify the coverage blind spots and capacity shortage regions in the current distribution network;

[0109] Step d: Calculate the optimal distribution network layout position within the area. Based on the distances and connection relationships between the high-voltage substations and the medium- and low-voltage network frameworks, analyze the optimal distribution circuit paths and node layouts, verify whether the adjusted distribution layout conforms to the regional load requirements, and finally generate a new distribution layout diagram.

[0110] Further, based on the distribution layout diagram, evaluate the efficiency and capacity of the high-voltage and medium- and low-voltage network frameworks to obtain a first candidate area, specifically including:

[0111] Step A: Statistically analyze the operating efficiency and current capacity of the high-voltage and medium- and low-voltage network frameworks;

[0112] Step B: According to the load growth overview of the distribution network, analyze the pressure on the existing network framework capacity in high-load growth areas, use the network framework load data to evaluate the expansion potential of network frameworks in different areas, and analyze the bottleneck points existing in the current network framework structure;

[0113] Step C: Compare the power supply coverage rate and load balancing situation in each area before and after expansion, and simulate the operating conditions of the distribution network after layout adjustment;

[0114] Step D: Compare the impact degree of the adjustment on the existing distribution network, mark the high-potential and areas to be optimized, and finally form a candidate area distribution diagram, that is, the first candidate area.

[0115] In the embodiment of the present application, the first candidate area includes high-voltage network points, distribution area boundaries, and network connection densities.

[0116] It should be noted that obtaining the first candidate area according to the first evaluation result can more accurately determine the key areas for power grid layout adjustment and provide strong data support for subsequent steps. By deeply analyzing the first evaluation result and combining historical data and geographic information system technology, the present application can accurately identify the key areas for power demand growth potential and power grid layout optimization. The determination of these candidate areas helps to optimize the allocation of power resources, improve the power supply efficiency and stability of the power grid. At the same time, this process also provides a clear direction and goal for subsequent power grid transformation and upgrading, and helps to realize the dynamic adjustment and optimization of the power grid layout to meet the needs of urban development.

[0117] S103. Determine the distribution network grid division area to be adjusted according to the first candidate area, and obtain a first adjustment strategy;

[0118] It should be noted that after determining the first candidate area, the present application needs to further refine the distribution network grid division to clarify which specific distribution network grids need to be adjusted. This process involves comprehensive consideration of multiple factors such as the power grid structure, load distribution, and power demand growth potential within the candidate area.

[0119] In an optional embodiment, according to the analysis result of the first candidate area, the distribution network grids with prominent power supply and demand contradictions, unreasonable power grid layout or capacity expansion requirements are identified and used as the areas of the distribution network grids to be adjusted.

[0120] In the embodiment of the present application, the step of determining the area of the distribution network grid to be adjusted according to the first candidate area and obtaining the first adjustment strategy includes:

[0121] Based on the first candidate area, compare the deviation between the current power load and the predicted value of several small areas, identify the high-deviation areas, and quantify the load difference of the areas to obtain the load deviation details. Specifically:

[0122] In the present application, by extracting the current power load data and predicted load data of multiple areas, comparing the current load value with the predicted value, calculating the load deviation of each area, through the time series analysis method of load data, dividing the deviation amount into short-term deviation and long-term deviation, using the load growth rate and regional development rate for correlation analysis, identifying the high-deviation areas with significant deviation, further analyzing the distribution characteristics of the deviation, decomposing it into multiple influencing factors such as population growth, power facility aging or economic activity changes, quantifying the load difference values of different areas, and classifying and marking the high, medium and low deviation areas, finally forming the load deviation details.

[0123] Among them, comparing the deviation between the current power load and the predicted value of multiple areas (i.e., the several small areas mentioned above), according to the formula:

[0124]

[0125] Among them, calculating the load deviation ΔL of multiple areas i , where L actual,i,t represents the actual power load of area i at time t, and L predicted,i,t represents the predicted power load of area i at time t, and T is the total number of time periods.

[0126] Exemplarily, considering the load data of three time points in area A, the actual and predicted data are (520MW, 500MW, 510MW) and (500MW, 480MW, 490MW) respectively, then:

[0127] L actual,A,t＝1 = 520MW, L predicted,A,t＝1 = 500MW;

[0128] L actual,A,t＝2 = 500MW, L predicted,A,t＝2 = 480MW;

[0129] L actual,A,t＝3 = 510MW, Lpredicted,A,t＝3 = 490 MW;

[0130] T = 3;

[0131] Substitute into the formula for calculation:

[0132]

[0133] The result shows that the root mean square of the load deviation in area A during the considered time period is 20 MW, indicating the average deviation degree of the prediction at each time point.

[0134] Furthermore, based on the load deviation details, determine the grid areas to be adjusted, and combine the current distribution network layout and regional development data to reset the new regional grid boundaries to obtain an optimized grid map. Specifically:

[0135] Step 20: When high-deviation areas are identified, perform a spatial overlap analysis of these areas with the existing grid layout;

[0136] Step 20.1: If it is found that the load density in some high-deviation areas is significantly higher than the existing grid design standard, mark these areas for further analysis;

[0137] Step 21: When the spatial overlap analysis is completed, calculate the electricity load density within the area and the capacity utilization rate of the existing equipment within the grid;

[0138] Step 21.1: If the load density in a certain grid far exceeds the capacity utilization rate of its existing equipment, then this grid is marked as an object to be optimized;

[0139] Step 22: When the object grids to be optimized are determined, analyze the adaptability between the existing regional boundaries and the load demand distribution in combination with the coverage of the current distribution network;

[0140] Step 22.1: If the existing regional boundaries fail to effectively match the load demand distribution, optimize the grid coverage area by adjusting the boundaries and redraw the boundaries according to the regional load density;

[0141] Step 23: When adjusting the boundaries, re-divide the high-deviation areas into adjacent low-load density grids;

[0142] Step 23.1: If the load distribution in the re-divided grid does not match the grid capacity, further adjust until it matches;

[0143] Step 23.1: If the re-division causes the load in some grids to be close to but not exceed their capacity limits, it is regarded as a successful optimization;

[0144] Step 24. After all adjustments are completed, check the grid with adjusted boundaries to ensure that the load distribution within each grid matches the grid capacity.

[0145] Step 24.1. If problems are found during the checking process, return to the previous step to continue optimization until all conditions are met.

[0146] Finally, an optimized grid map is obtained, in which the high-deviation areas are reasonably processed, making the power supply closer to the actual demand. For example, due to frequent economic activities and dense population in a city center area, the power demand has increased rapidly. Through the above process, a detailed load deviation analysis of this area is carried out, and the distribution network grid division is adjusted accordingly to better adapt to the actual power demand.

[0147] Furthermore, based on the grid optimization map, evaluate the distribution network capacity and load saturation conditions of several small areas, formulate corresponding adjustment processes for each small area, and obtain the first adjustment strategy. Specifically:

[0148] Analyze the matching degree between the current capacity of the high-voltage grid and medium-low voltage grid in each area and the future load.

[0149] Combined with the results of grid optimization, formulate an adjustment plan for expanding the grid in high-load areas, including adding substation sites or new lines.

[0150] Formulate an adjustment plan for reducing the grid in low-load areas, including merging existing grids or reallocating line resources.

[0151] Conduct a capacity load test on each target area, evaluate the impact of the adjustment on the operation of the existing distribution network, combine the adjustment potential of each grid, mark the key optimization areas, and finally form grid adjustment guidance information, that is, the first adjustment strategy.

[0152] In the embodiment of the present application, the first adjustment strategy includes adjusted demand blocks, predicted deviation analysis results, and load balance states.

[0153] It should be noted that determining the distribution network grid division area to be adjusted according to the first candidate area and obtaining the first adjustment strategy can more accurately guide the subsequent power grid transformation and upgrading work. Through in-depth analysis of the first candidate area, we have identified the key areas for power grid layout adjustment and formulated corresponding adjustment strategies. These strategies not only consider the current power grid structure and load distribution, but also foresee the future power demand growth trend, thus ensuring the pertinence and effectiveness of the power grid transformation. In the next steps, we will carry out specific power grid layout adjustments based on these strategies to achieve the optimal allocation of power grid resources, improve the power supply efficiency and stability of the power grid. At the same time, this process will also provide strong support for the sustainable development of the city, ensuring that the power supply can meet the needs of urban development.

[0154] S104, perform the physical layout of the distribution network according to the first adjustment strategy, and obtain the distribution efficiency of the distribution network before and after the layout;

[0155] In the embodiment of the present application, the performing the physical layout of the distribution network according to the first adjustment strategy and obtaining the distribution efficiency of the distribution network before and after the layout includes:

[0156] Based on the first adjustment strategy, adjust the physical layout of the distribution network to obtain an implementation adjustment record;

[0157] Specifically, when the boundary positions of the optimized grid areas and the layout information of the existing distribution network are extracted, then the load data and distribution network capacity data of each grid area are matched and analyzed;

[0158] If it is found that the load density of a certain grid is significantly higher than its distribution network capacity, then mark this area as a high-load area;

[0159] If the load density of a certain grid is much lower than its distribution network capacity, then mark this area as a low-load area;

[0160] When the high-load areas and low-load areas are identified, then divide the boundary part with a lower load density in the high-load area into the adjacent low-load area;

[0161] If the load distribution can be improved by adjusting the boundary, then perform boundary adjustment to optimize the load distribution within the grid;

[0162] When dealing with high-load areas, formulate a grid splitting plan for areas with excessive loads;

[0163] If there is an obvious load peak in a certain area, then consider separating it from the original grid and reallocating the distribution network resources to ensure that the newly split grid can meet the power demand of this area;

[0164] When dealing with low-load areas, formulate a grid merging plan for areas with insufficient loads;

[0165] If the load in a certain area is not sufficient to fully utilize its power distribution facilities, consider merging it with adjacent areas and sharing the power distribution facilities to improve resource utilization efficiency;

[0166] After completing the adjustment of all grid areas, re - count the load data and equipment distribution in each adjusted area;

[0167] If the load distribution in the adjusted grid matches the distribution network capacity, record this adjustment as part of the final implementation adjustment;

[0168] If some areas still need further optimization, return to the corresponding optimization steps for continued adjustment;

[0169] Finally, form a detailed record of the implementation adjustment, which includes the new boundary positions of all adjusted grid areas, updated load data, and equipment distribution. This process not only improves the overall efficiency of the distribution network, but also ensures that the power supply is closer to the actual demand, thus enhancing the reliability and economy of the power system. For example, through this optimization method, a high - load area in the city center has achieved reasonable load sharing, while the surrounding low - load areas have realized resource sharing, jointly promoting the stability and efficiency of power supply within the region.

[0170] Furthermore, based on the record of the implementation adjustment, monitor the adjusted power load data to obtain the distribution network power distribution efficiency before and after the layout.

[0171] When monitoring the change trend of the load by region, extract the peak, valley, and average load data of each region;

[0172] If significant load fluctuations are found in some areas, record these data for subsequent analysis;

[0173] After having the load data of each region, compare the change in the distribution network efficiency of each region before and after the adjustment;

[0174] If grid merging has been carried out, analyze whether the equipment utilization rate after merging has increased;

[0175] If the equipment utilization rate increases after merging, mark it as a positive impact;

[0176] If grid splitting has been carried out, analyze whether the pressure on the distribution network in the high - load area has been relieved after splitting;

[0177] If the pressure on the distribution network in the high - load area is relieved after splitting, mark it as a positive impact;

[0178] After completing the preliminary analysis, extract parameters such as the capacity utilization rate and load balance rate of each grid after adjustment;

[0179] If the capacity utilization rate of a certain grid is close to or reaches the optimal level, record this grid as an efficient case;

[0180] If a certain grid achieves good load balancing, record it as well;

[0181] After collecting the relevant adjusted parameters, compare the efficiency change trends before and after the adjustment;

[0182] If the power distribution efficiency in a certain area has been significantly improved after the adjustment, analyze the reasons behind it (such as more reasonable load distribution, optimized equipment utilization, etc.);

[0183] If the efficiency in a certain area has not improved significantly or even decreased after the adjustment, further analyze the possible problems and put forward improvement suggestions;

[0184] After analyzing all the data before and after the adjustment, evaluate the impact of the grid adjustment on the overall efficiency of the distribution network according to the matching situation of the regional load demand;

[0185] If most of the adjustments bring positive effects, summarize the successful experiences and practices;

[0186] If there are some adjustments that fail to achieve the expected effects, explore improvement measures;

[0187] Finally, form a detailed report on the changes in power distribution efficiency. This report not only includes the specific changes in the power distribution efficiency of each region before and after the adjustment, but also deeply analyzes the factors leading to these changes, and puts forward suggestions for future optimization work. For example, through this evaluation, it is found that after the adjustment of grid merging and splitting, the equipment utilization rate in most regions has been improved, and the pressure in high-load regions has been effectively relieved, proving that this adjustment has a positive effect on improving the overall efficiency of the distribution network.

[0188] In an optional embodiment, extract the substation locations and medium- and low-voltage grid framework distribution data in the adjusted distribution network layout, analyze the optimized distribution network performance, evaluate the power supply capabilities of the adjusted high-load grids one by one, conduct a capacity-load ratio test on the medium- and low-voltage grid framework in combination with the adjustment records and load data, extract the load balancing data of different regions after the adjustment, count the equipment capacity utilization rates and operating efficiencies of each region, put forward adjustment suggestions for the regions that do not meet the load balancing standards, mark the key regions after optimization, record the relevant effects of the substation layout and medium- and low-voltage grid framework optimization, and finally generate an efficiency optimization record.

[0189] S105, perform a first optimization operation according to the power distribution efficiency of the distribution network before and after the layout, and obtain an optimized regional grid division method for the distribution network.

[0190] In the embodiments of the present application, the first optimization operation based on the power distribution efficiency of the distribution network before and after the layout to obtain the optimized distribution network area grid division method includes:

[0191] Analyze the energy efficiency data of each small area based on the power distribution efficiency of the distribution network before and after the layout to obtain the efficiency improvement analysis result;

[0192] The first optimization operation includes dynamically adjusting the management direction of the distribution network based on the efficiency improvement analysis result, optimizing the fault response speed and load management, and verifying whether the distribution network structure matches the current power demand to obtain the distribution structure optimization result;

[0193] Take the grid division result after the first optimization operation as the final distribution network area grid division method.

[0194] In the embodiments of the present application, the final distribution network area grid division method includes the distribution structure adjustment direction and the fault response improvement result.

[0195] Specifically, collect the energy efficiency data of each area, including data such as power consumption efficiency, equipment capacity utilization rate, and load distribution, extract the load data within the area grid and the actual operation status after the adjustment of the area boundary, compare the changes in the energy efficiency parameters of each area before and after the adjustment, analyze the key areas with low energy efficiency by area division, mark the areas with high load peaks but insufficient capacity utilization rate as potential low-efficiency areas, combine the distribution network equipment layout and load balance conditions, further refine the specific equipment operation data within the low-efficiency areas, analyze whether the main reason for the inefficiency comes from equipment aging, uneven load distribution, or unexpected load growth, and determine the efficiency improvement points of the low-efficiency areas one by one according to the analysis results, including readjusting the load distribution, adding equipment, or enhancing the distribution network capacity expansion ability, and finally form the efficiency improvement analysis result.

[0196] Furthermore, combine the real-time load data and the regional geographical information to dynamically adjust the distribution network management strategy of each grid, prioritize the optimization of the management direction for high-load areas, including redistributing the power supply capacity or adjusting the power supply time period, perform equipment scheduling on medium- and low-load areas according to the real-time feedback, optimize the operation strategy of the power supply network in different time periods, optimize the grid fault response speed by monitoring the equipment load status and the change of regional load distribution, focus on monitoring the equipment operation stability of high-load grids, verify whether the adjusted distribution network structure meets the current power demand state for specific regions and time periods, and put forward specific optimization suggestions for the unmatched area grids to form the final distribution structure optimization result.

[0197] In summary, the present invention proposes a method for dividing the distribution network area into grids, obtaining the first change data of the target area, and performing the first evaluation according to the first change data; obtaining the first candidate area according to the first evaluation result; determining the distribution network grid division area to be adjusted according to the first candidate area, and obtaining the first adjustment strategy; performing the physical layout of the distribution network according to the first adjustment strategy, and obtaining the distribution efficiency of the distribution network before and after the layout; performing the first optimization operation according to the distribution efficiency of the distribution network before and after the layout to obtain the optimized distribution network area grid division method. By comprehensively integrating urban expansion and land use change data, combining with cableization rate and load density data, accurate analysis of dynamic adjustment of urban boundaries and land uses is realized, the real-time response ability to the development speed and power demand of multiple regions is enhanced, the flexibility of the distribution network is improved, and after integrating climate change and historical load data, the accuracy of distribution load trend analysis is strengthened, making the substation location and grid layout decisions more scientific. Based on the current situation of the distribution network framework and regional characteristics, such as load saturation and rapidly developing areas, the power grid can be carefully planned according to the needs of different regions. By dynamically adjusting the management direction, the fault response and overall structure of the power grid are optimized.

[0198] Embodiment 2. In a preferred embodiment, monitor the adjusted power load data, compare the distribution efficiency before and after the adjustment, and according to the formula:

[0199]

[0200] Calculate the percentage change Δη of the distribution efficiency. In the formula, η pre represents the distribution efficiency before the adjustment, which is a measure of the power transmission efficiency before the power grid adjustment, and the calculation formula is where E pre is the total power supply before the adjustment, L pre is the total energy loss before the adjustment, and η post represents the distribution efficiency after the adjustment, which is a measure of the power transmission efficiency after the power grid adjustment, and the calculation formula is where E post is the total power supply after the adjustment, L post is the total energy loss after the adjustment, ΔP post represents the additional power load of the power grid after the adjustment, that is, the additional or reduced power demand caused by the adjustment, and P total represents the total designed power of the power grid, which is the maximum power that the power grid can carry during design;

[0201] If the power supplies before and after the adjustment are E pre and E post , and the loss amounts are L pre and L post, the additional power load of the adjusted power grid is 50 kWh, and the total designed power of the power grid is 2000 kWh. Then the efficiency is calculated as follows:

[0202]

[0203] and

[0204]

[0205] The power supply before adjustment is 1000 kWh, the loss is 100 kWh, the power supply after adjustment is 1100 kWh, and the loss is 90 kWh. Calculate η pre :

[0206]

[0207] Calculate η post :

[0208]

[0209] Substitute into the formula to calculate Δη:

[0210]

[0211] This result shows that the distribution efficiency after adjustment has increased by 4.52%, indicating that grid merging or splitting optimizes the utilization rate of power resources, while considering the impact of additional power load on the total designed power.

[0212] Example 3. In this example, a distribution network regional grid division system is also provided, including:

[0213] An evaluation module, configured to obtain first change data of a target area and perform a first evaluation according to the first change data;

[0214] The first change data is target area expansion and land use change data;

[0215] A candidate area acquisition module, configured to acquire a first candidate area according to the first evaluation result;

[0216] A strategy acquisition module, configured to determine an area of a distribution grid to be adjusted according to the first candidate area and acquire a first adjustment strategy;

[0217] An efficiency acquisition module, configured to perform a physical layout of the distribution grid according to the first adjustment strategy and acquire the distribution efficiency of the distribution grid before and after the layout;

[0218] An optimization module, configured to perform a first optimization operation according to the distribution efficiency of the distribution grid before and after the layout to obtain an optimized distribution network regional grid division method.

[0219] Each of the above unit modules can be embedded in a processor in a computer device in hardware form or be independent of the processor, or can be stored in a memory in the computer device in software form, so as to facilitate the processor to call and execute the operations corresponding to each of the above modules.

[0220] This embodiment also provides a computer device, which can be a terminal, and its internal structure diagram can be as Figure 2 shown. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a carrier network, NFC (Near Field Communication), or other technologies. The computer program, when executed by the processor, implements a method for dividing a distribution network area grid. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covered on the display screen, or can be a button, a trackball, or a touchpad provided on the housing of the computer device, or can also be an external keyboard, a touchpad, or a mouse, etc.

[0221] This embodiment also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0222] Obtain the first change data of the target area, and perform a first evaluation according to the first change data;

[0223] The first change data is the target area expansion and land use change data;

[0224] Obtain the first candidate area according to the first evaluation result;

[0225] Determine the distribution network grid division area to be adjusted according to the first candidate area, and obtain the first adjustment strategy;

[0226] Perform a physical layout of the distribution network according to the first adjustment strategy, and obtain the distribution efficiency of the distribution network before and after the layout;

[0227] Perform a first optimization operation according to the distribution efficiency of the distribution network before and after the layout, and obtain an optimized distribution network area grid division method.

[0228] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

[0229] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present application can be implemented in various computer languages.

[0230] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram can be implemented by computer program instructions, and the combination of the processes and / or blocks in the flowchart and / or block diagram can also be implemented. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in one Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0231] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in one Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0232] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0233] Although the preferred embodiments of the present application have been described, additional changes and modifications can be made to these embodiments by those skilled in the art once they learn of the basic creative concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present application.

[0234] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims

1. A method for dividing a distribution network area into grids, characterized in that Including: Obtain the first change data of the target area, and perform the first evaluation according to the first change data; The first change data is the target area expansion and land use change data; Obtain the first candidate area according to the first evaluation result; Determine the distribution network grid division area to be adjusted according to the first candidate area, and obtain the first adjustment strategy; Perform the physical layout of the distribution network according to the first adjustment strategy, and obtain the distribution efficiency of the distribution network before and after the layout; Perform the first optimization operation according to the distribution efficiency of the distribution network before and after the layout, and obtain the optimized distribution network area grid division method.

2. The method for dividing the distribution network area grid according to claim 1, wherein The obtaining the first change data of the target area and performing the first evaluation according to the first change data includes: Divide the target area into several small areas, and calculate the area expansion index of several small areas based on the first change data; Based on the area expansion index, quantitatively evaluate the load density and cable rate of several small areas, and calculate the power demand information; Based on the power demand information, perform a matching analysis of the power demand, evaluate the grid capacity demand within the current and future fixed time periods, and the power supply and demand balance status of several small areas, and obtain the first evaluation result.

3. The method for dividing the distribution network area grid according to claim 2, wherein The obtaining the first candidate area according to the first evaluation result includes: According to the first evaluation result, combine the first historical data to obtain the first load growth overview; Based on the first load growth overview, locate the optimal layout positions of the high-voltage distribution network substation and the medium- and low-voltage grid, and verify whether the distribution layout matches the regional load demand to obtain the distribution layout diagram; Based on the distribution layout diagram, evaluate the efficiency and capacity of the high-voltage and medium- and low-voltage grids to obtain the first candidate area.

4. The method for partitioning the distribution network area grid according to claim 3, characterized in that The determining the distribution network grid division area to be adjusted according to the first candidate area and obtaining the first adjustment strategy includes: Based on the first candidate area, compare the deviation between the current power load and the predicted value of several small areas, identify the high-deviation areas, and quantify the load difference of the areas to obtain the load deviation details; Based on the load deviation details, determine the grid area to be adjusted, combine the current distribution network layout and regional development data, and reset the new regional grid boundary to obtain the grid optimization map; Based on the grid optimization map, evaluate the distribution network capacity and load saturation of several small areas, formulate corresponding adjustment processes for each small area, and obtain the first adjustment strategy.

5. The method for dividing the distribution network area into grids according to claim 4, wherein The performing the physical layout of the distribution network according to the first adjustment strategy and obtaining the distribution efficiency of the distribution network before and after the layout includes: Based on the first adjustment strategy, adjust the physical layout of the distribution network to obtain the implementation adjustment record; Based on the implementation adjustment record, monitor the adjusted power load data, and obtain the distribution efficiency of the distribution network before and after the layout.

6. The method for partitioning the distribution network area grid according to claim 5, characterized in that, The performing the first optimization operation according to the distribution efficiency of the distribution network before and after the layout and obtaining the optimized distribution network area grid division method includes: Based on the distribution efficiency of the distribution network before and after the layout, analyze the energy efficiency data of each small area to obtain the efficiency improvement analysis result; The first optimization operation includes dynamically adjusting the management direction of the distribution network based on the efficiency improvement analysis result, optimizing the fault response speed and load management, and verifying whether the distribution network structure matches the current power demand to obtain the distribution structure optimization result; Use the grid division result after the first optimization operation as the final distribution network area grid division method.

7. The method for partitioning the distribution network area grid according to claim 6, characterized in that It also includes: The first evaluation result includes land use type, power consumption prediction information, and urban development area; The first candidate area includes high-voltage network points, distribution area boundaries, and network connection density; The first adjustment strategy includes adjusting the demand block, prediction deviation analysis result, and load balance state; The final distribution network area grid division method includes the distribution structure adjustment direction and the fault response improvement result.

8. A distribution network area grid division system, which applies the method according to any one of claims 1 to 7, characterized in that It includes: An evaluation module for obtaining the first change data of the target area and performing a first evaluation according to the first change data; The first change data is the target area expansion and land use change data; A candidate area acquisition module for obtaining a first candidate area according to the first evaluation result; A strategy acquisition module for determining the distribution network grid division area to be adjusted according to the first candidate area and obtaining a first adjustment strategy; An efficiency acquisition module for performing the physical layout of the distribution network according to the first adjustment strategy and obtaining the distribution efficiency of the distribution network before and after the layout; An optimization module for performing a first optimization operation according to the distribution efficiency of the distribution network before and after the layout to obtain the optimized distribution network area grid division method.

9. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the method according to any one of claims 1 to 7.

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