Distribution network control method and system for a park-based distribution network

Abstract

The present invention discloses a power distribution network control method and system for a park-based power distribution network. The present invention relates to the technical field of power distribution network control. Multiple abnormal nodes are determined based on multiple power supply paths, abnormal power consumption events in the park, and the database of the power distribution network. And the abnormal area of the power distribution network is determined according to the multiple abnormal nodes, the park distribution map, and the actual abnormal time, ensuring the accuracy of the abnormal area of the power distribution network. Therefore, an optimization event of the power distribution network is determined according to the abnormal area of the power distribution network, the real-time images corresponding to the multiple abnormal nodes, and the power distribution network information of the power distribution network. The optimization event of the power distribution network includes multiple power distribution network optimization projects; an autonomous optimization system of the power distribution network is determined based on the optimization duration of the multiple power distribution network optimization projects, the priorities of the multiple power distribution network optimization projects, and the power consumption status of the park. The autonomous optimization system of the power distribution network is introduced, and further the power distribution network control of the power distribution network is realized.

Description

Technical Field

[0001] The present invention relates to the technical field based on distribution network control, and in particular, to a distribution network control method and system for a distribution network in a park. Background Art

[0002] With the development of technology, each park has a corresponding distribution network, and corresponding power distribution is carried out through the distribution network to supply power to the enterprises in the park. In the prior art, the distribution network is detected, and during the detection process, the corresponding abnormal area is marked based on abnormal nodes. The abnormal area is determined only through a single dimension, which affects the accuracy of the abnormal area of the distribution network and cannot achieve precise control during the distribution network control process of the distribution network. Summary of the Invention

[0003] The purpose of the present invention is to overcome the deficiencies of the prior art. The present invention provides a distribution network control method and system for a distribution network in a park.

[0004] An embodiment of the present invention provides a distribution network control method for a distribution network in a park, including: determining a layout diagram of the distribution network in the park based on the park distribution map, the spatial position of the substation, and the distribution position of the conducting wire;

[0005] Determining a plurality of power supply paths according to the layout diagram of the distribution network, the positions of the enterprises in the park, and the past power consumption data of the enterprises;

[0006] Determining a plurality of abnormal nodes based on the plurality of power supply paths, the power consumption abnormal events in the park, and the database of the distribution network, and determining the abnormal area of the distribution network according to the plurality of abnormal nodes, the park distribution map, and the actual abnormal time;

[0007] Determining an optimization event of the distribution network according to the abnormal area of the distribution network, the real-time images corresponding to the plurality of abnormal nodes, and the distribution network information of the distribution network. The optimization event of the distribution network contains a plurality of distribution network optimization items;

[0008] Determining an autonomous optimization system of the distribution network based on the optimization duration of the plurality of distribution network optimization items, the priorities of the plurality of distribution network optimization items, and the power consumption status of the park.

[0009] An embodiment of the present invention provides a distribution network control system for a distribution network in a park. The distribution network control system for a distribution network in a park is applied to the above-mentioned distribution network control method for a distribution network in a park. The distribution network control system for a distribution network in a park includes:

[0010] A layout diagram module for determining a layout diagram of the distribution network in the park based on the park distribution map, the spatial position of the substation, and the distribution position of the conducting wire;

[0011] A power supply path module, which is used to determine multiple power supply paths according to the layout diagram of the distribution network, the locations of enterprises in the park, and the past power consumption data of the enterprises;

[0012] An abnormal area module, which is used to determine multiple abnormal nodes based on multiple power supply paths, power consumption abnormal events in the park, and the database of the distribution network, and determine the abnormal area of the distribution network according to the multiple abnormal nodes, the park distribution map, and the actual abnormal time;

[0013] An optimization project module, which is used to determine the optimization events of the distribution network according to the abnormal area of the distribution network, the real-time images corresponding to the multiple abnormal nodes, and the distribution network information of the distribution network. The optimization events of the distribution network contain multiple distribution network optimization projects;

[0014] An independent optimization module, which is used to determine the independent optimization system of the distribution network based on the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the power consumption status of the park.

[0015] Compared with the prior art, the beneficial effects of the present invention are:

[0016] In the embodiment of the present invention, through the method in the embodiment of the present invention, the layout diagram of the distribution network of the park is determined based on the park distribution map, the spatial position of the substation, and the distribution position of the conductive wire; multiple power supply paths are determined according to the layout diagram of the distribution network, the locations of enterprises in the park, and the past power consumption data of the enterprises; multiple abnormal nodes are determined based on multiple power supply paths, power consumption abnormal events in the park, and the database of the distribution network, and the abnormal area of the distribution network is determined according to the multiple abnormal nodes, the park distribution map, and the actual abnormal time, which is compatible with the overall consideration of multiple abnormal nodes, the park distribution map, and the actual abnormal time, ensuring the accuracy of the abnormal area of the distribution network, so as to realize the precise control of the distribution network in the distribution network control process.

[0017] Therefore, the optimization events of the distribution network are determined according to the abnormal area of the distribution network, the real-time images corresponding to the multiple abnormal nodes, and the distribution network information of the distribution network. The optimization events of the distribution network contain multiple distribution network optimization projects; the independent optimization system of the distribution network is determined based on the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the power consumption status of the park, introducing the independent optimization system of the distribution network, and further realizing the distribution network control of the distribution network, ensuring the distribution network accuracy of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the application scenario of the distribution network control method based on the park in one embodiment;

[0019] Figure 2 It is a flowchart of the distribution network control method based on the park in the embodiment of the present invention;

[0020] Figure 3 It is a schematic structural diagram of a distribution network control system for a park-based distribution network in an embodiment of the present invention. Specific embodiments

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention.

[0022] The distribution network control method for a park-based distribution network provided by this application is applied to Figure 1 the application environment shown. Among them, the computer 102 communicates with the server 104 through the network. Among them, the computer 102 is not limited to various personal computers, servers, and park management systems, and the server 104 is implemented by an independent server or a server cluster composed of servers.

[0023] Please refer to Figures 1 to 3 , a distribution network control method for a park-based distribution network, which is applied to a distribution network control scenario for a park-based distribution network; the distribution network control method for a park-based distribution network includes:

[0024] Step S11: Determine the layout diagram of the park's distribution network based on the park distribution map, the spatial location of the substation, and the distribution location of the conducting wires;

[0025] Step S12: Determine multiple power supply paths according to the layout diagram of the distribution network, the locations of the enterprises in the park, and the past electricity consumption data of the enterprises;

[0026] Step S13: Determine multiple abnormal nodes based on multiple power supply paths, the power consumption abnormal events in the park, and the database of the distribution network, and determine the abnormal area of the distribution network according to the multiple abnormal nodes, the park distribution map, and the actual abnormal time;

[0027] Step S14: Determine the optimization events of the distribution network according to the abnormal area of the distribution network, the real-time images corresponding to the multiple abnormal nodes, and the distribution network information of the distribution network. The optimization events of the distribution network contain multiple distribution network optimization projects;

[0028] Step S15: Determine the autonomous optimization system of the distribution network based on the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the power consumption status of the park;

[0029] In step S11, determine the layout diagram of the park's distribution network based on the park distribution map, the spatial location of the substation, and the distribution location of the conducting wires;

[0030] In the specific implementation process of the present invention, the specific steps are as follows:

[0031] S111: Determine multiple images based on the aerial photography of the park by the drone, and determine the park distribution map according to the multiple images, the basic information of the park, and the corresponding town database;

[0032] S112: Determine the spatial location of the substation according to the coordinate system corresponding to the park distribution map, the non-enterprise area in the park distribution map, and the image of the substation;

[0033] S113: Determine the distribution location of the wire based on the spatial location of the substation and the direction of the current output by the substation, and determine the layout map of the park's power distribution network according to the interaction of the park distribution map, the spatial location of the substation, and the distribution location of the wire.

[0034] In the embodiment of the present application, multiple images are determined based on the aerial photography of the park by the drone, and the park distribution map is determined according to the multiple images, the basic information of the park, and the corresponding town database, which incorporates the overall consideration of the multiple images, the basic information of the park, and the corresponding town database, ensuring the accuracy of the park distribution map.

[0035] At this time, use the drone to conduct aerial photography of the park. At the same time, plan the flight route to ensure that the drone can cover the park comprehensively and avoid no-fly zones; start the drone and conduct photography according to the planned route; the drone should fly at a safe altitude while ensuring that the captured images are clear and jitter-free; after the drone finishes shooting, transmit the captured images to the ground control station or storage device for subsequent processing.

[0036] Preprocess the collected images, including denoising, enhancing contrast, correcting colors, etc., to improve the image quality; splice multiple images to generate a panoramic view of the park; pay attention to the overlapping parts of the images during the splicing process to ensure seamless connection of the spliced images; in the spliced panoramic view, use image recognition technology to extract the key features of the park, such as building outlines, road directions, green belts, etc.

[0037] Compare and integrate the extracted image features with the basic information of the park (such as CAD drawings, planning documents, geographical coordinates, etc.), which helps to verify the accuracy of the image features and supplement the missing information; refer to the corresponding town database to obtain geographical information, planning standards, infrastructure layout, etc. related to the park, which helps to further improve the park distribution map and ensure that it meets the actual situation and planning requirements.

[0038] Specifically, assume there is an industrial park with an area of about 5 square kilometers, including multiple factories, warehouses, office buildings, and public facilities; to determine the distribution map of this park, the following steps are taken:

[0039] A drone equipped with a high-resolution camera was selected, and a flight route covering the entire park was planned; under clear weather conditions, the drone took pictures along the route, and about 50 images were collected in total; the collected images were preprocessed to remove noise and enhance contrast; then these images were stitched using image processing software to generate a panoramic view; during the stitching process, special attention was paid to the overlapping parts of the images to ensure seamless connection of the stitched images; in the panoramic view, the building outlines, road directions, green belts and other features of the park were clearly seen.

[0040] The stitched panoramic view was compared with the CAD drawings of the park to verify the accuracy of the image features; at the same time, referring to the planning standards and infrastructure layout information in the urban database, the park distribution map was further improved; the finally generated park distribution map not only includes information such as the location, shape and height of buildings, but also marks key elements such as roads, green belts, and public facilities, providing a reliable basis for the subsequent distribution network layout design.

[0041] Furthermore, based on the coordinate system corresponding to the park distribution map, the non-enterprise areas in the park distribution map, and the images of the substation, the spatial location of the substation was determined, realizing the accurate identification of the spatial location of the substation for subsequent traceability based on the spatial location of the substation.

[0042] At this time, a suitable geographic coordinate system, such as WGS84 (the coordinate system used by the Global Positioning System), was selected for the park distribution map; when selecting the coordinate system, the geographical location, scale of the park and the requirements of subsequent applications should be considered. In the park distribution map, non-enterprise areas were identified through visual inspection or using analysis tools in GIS software, and these areas include parks, green spaces, residential areas, roads, etc., which do not contain industrial facilities such as substations; the identified non-enterprise areas were marked on the park distribution map using different colors, lines or symbols for subsequent analysis.

[0043] Feature information of the substation, including the building outline of the substation, transformer equipment, transmission lines, etc., was extracted from the images taken by the drone or existing substation photos; the extracted substation features were compared with the park distribution map to find matching points, which was achieved through image recognition formulas (such as template matching, feature point matching, etc.).

[0044] Once the matching points are found, the spatial location of the substation is determined, which involves converting the coordinates of the substation from the image coordinate system to the geographic coordinate system of the park distribution map; use the coordinate conversion tool or programming tool in the GIS software to complete this step; finally, verify the accuracy of the substation's spatial location through on-site surveys or comparisons with other reliable data sources (such as satellite images, maps, etc.); if errors are found, adjustments need to be made until the location is accurate.

[0045] Specifically, suppose there is an industrial park whose distribution map has been drawn based on the WGS84 coordinate system; the park contains multiple factories and public facilities, as well as a green space and a main road; the task is to determine the spatial location of the substation in the park; since the park distribution map has been drawn based on the WGS84 coordinate system, there is no need for coordinate conversion.

[0046] In the campus distribution map, the images were visually inspected, and the analysis tools in the GIS software were used to identify non-enterprise areas such as green spaces and main roads, which were marked with different colors for subsequent analysis; In the campus distribution map, the images were visually inspected, and the analysis tools in the GIS software were used to identify non-enterprise areas such as green spaces and main roads, which were marked with different colors for subsequent analysis; Finally, a field survey was conducted and compared with satellite images to verify the accuracy of the spatial location of the substation; It was found that the location of the substation was slightly deviated due to the error of the image recognition formula; Adjustments were made according to the results of the field survey until the location was accurate; Finally, the accurate spatial location of the substation in the park was obtained.

[0047] Therefore, the distribution position of the conductive wires is determined based on the spatial position of the substation and the direction of the current output by the substation, and the layout diagram of the distribution network of the park is determined according to the interaction of the park distribution map, the spatial position of the substation and the distribution position of the conductive wires. This realizes the interaction of the park distribution map, the spatial position of the substation and the distribution position of the conductive wires, and ensures the accuracy of the layout diagram of the distribution network of the park.

[0048] At this time, collect the spatial location information of the substation, including its latitude and longitude coordinates, altitude, etc.; at the same time, understand the electrical parameters of the substation, especially the direction and capacity of its output current; analyze the direction of the current output of the substation based on the principle that current flows from the high-voltage side to the low-voltage side, which involves the interpretation of the internal wiring diagram of the substation, as well as the understanding of the direction and connection relationship of the transmission lines connected to the substation; combine the spatial location of the substation and the direction of the current to preliminarily determine the distribution position of the conductive lines, which is done by drawing rays starting from the substation on the map to indicate the direction of the current flow, and then adjust the length and direction of the rays according to the actual situation to reflect the actual layout of the conductive lines.

[0049] Consider the topographical and geomorphological features of the park, such as mountains, rivers, roads, etc. These factors affect the routing and layout of the conductive wires. For example, the conductive wires need to bypass obstacles or be laid along roads. Adjust the distribution of the conductive wires according to the load demands of each area in the park to ensure the reliability and economy of power supply. The load demands are obtained through information such as historical electricity consumption data and future development plans. Ensure that the layout of the conductive wires complies with national and local safety codes.

[0050] Integrate the spatial positions of the substations, the distribution positions of the conductive wires, and the park distribution map to ensure that all information is aligned under a unified geographic coordinate system. Use GIS software or professional electrical design software to represent the integrated information graphically and generate the distribution network layout map of the park. The layout map should clearly show the substations, conductive wires, load points, and their connection relationships. Check the generated distribution network layout map to ensure that the positions, directions, and connection relationships of all elements are accurate.

[0051] Specifically, assume there is an industrial park where the spatial positions of two substations (Substation A and Substation B) have been determined, and it is known that they supply power to different areas of the park respectively. The task is to determine the distribution positions of the conductive wires and generate the distribution network layout map of the park.

[0052] Collect the spatial position information of Substations A and B and understand their electrical parameters. Then, based on the principle that current flows from the high-voltage side to the low-voltage side, preliminarily determine the flow directions of the conductive wires starting from Substations A and B.

[0053] There is a green area on the north side of the park. To reduce environmental damage, adjust the routing of the conductive wires to bypass the green area. According to the future development plan of the park, reserve sufficient conductive wire paths to meet the needs of future additional loads.

[0054] Integrate the spatial positions of Substations A and B, the adjusted distribution positions of the conductive wires, and the park distribution map, and use GIS software to generate the distribution network layout map of the park. The layout map clearly shows the substations, conductive wires, load points, and their connection relationships.

[0055] Carefully check and adjust the generated layout map to ensure that the positions, directions, and connection relationships of all elements are accurate. Finally, obtain a distribution network layout map of the park that meets the actual situation and design requirements, providing a reliable basis for subsequent distribution network construction and operation management.

[0056] In step S12, determine multiple power supply paths according to the distribution network layout map of the park, the locations of the enterprises in the park, and the past electricity consumption data of the enterprises.

[0057] In the specific implementation process of the present invention, the specific steps are as follows:

[0058] S121: Determine the locations of the enterprises in the park based on the park distribution map and the layout map of the distribution network, and construct multiple sub - power - consumption regions according to the locations of each enterprise and the corresponding power - consumption data.

[0059] S122: Determine the power - supply levels of the multiple sub - power - consumption regions according to the comparison of the multiple sub - power - consumption regions, and perform multiple interactions on the power - supply levels of the multiple sub - power - consumption regions, the power - supply quantities of the multiple sub - power - consumption regions, and the past power - consumption data of the enterprises.

[0060] S123: Determine multiple power - supply paths based on the multiple interactions of the power - supply levels of the multiple sub - power - consumption regions, the power - supply quantities of the multiple sub - power - consumption regions, and the past power - consumption data of the enterprises.

[0061] In the embodiments of the present application, determining the locations of the enterprises in the park based on the park distribution map and the layout map of the distribution network, and constructing multiple sub - power - consumption regions according to the locations of each enterprise and the corresponding power - consumption data realizes the precise control of the multiple sub - power - consumption regions.

[0062] At this time, ensure that the latest park distribution map and distribution - network layout map have been obtained; the park distribution map should contain the location information of the enterprises, while the distribution - network layout map shows the locations and connection relationships of power facilities such as substations and power transmission lines; overlay the park distribution map and the distribution - network layout map. This step is to simultaneously display the geographical distribution of the enterprises and the layout of the power facilities in the same view, facilitating subsequent analysis.

[0063] On the overlaid layer, according to the information provided by the park distribution map, mark the actual locations of each enterprise one by one. This involves placing point markers on the map, and each marker represents an enterprise; verify the accuracy of the marked locations through on - site surveys, checking the registered addresses of the enterprises, etc.; for enterprises with unclear or controversial location information, additional investigations are required to determine their exact locations.

[0064] Collect the power - consumption data of each enterprise, including historical power consumption, peak power - consumption periods, power - load characteristics, etc. These data are obtained from the enterprise's electricity - meter records, energy - management systems, or data provided by power companies; conduct a preliminary analysis of the collected power - consumption data to identify enterprises with large power consumption, large power - load fluctuations, or special power - consumption requirements. This information is crucial for subsequent construction of sub - power - consumption regions.

[0065] Meanwhile, based on the geographical location of enterprises, electricity consumption data, and the layout of the distribution network, the industrial park is divided into multiple sub - electricity - using areas. When dividing, the similarity of electricity consumption needs of enterprises, the convenience of electrical connections, and the continuity of geographical space should be considered. Define attributes for each sub - electricity - using area, including area name, boundary range, list of enterprises included, expected electricity load, etc. These attribute information will be used for subsequent power planning and scheduling.

[0066] Specifically, assume there is an industrial park that contains multiple manufacturing enterprises and a data center. The task is to determine the locations of these enterprises and construct sub - electricity - using areas based on their electricity consumption data. The distribution map of the industrial park and the layout map of the distribution network are obtained and layer - overlaid in GIS software. In this way, the geographical distribution of enterprises and the locations of power facilities can be seen in the same view. On the overlaid layer, the locations of each enterprise are marked one by one. For example, point markers are placed on the map to represent the locations of manufacturing enterprise A, manufacturing enterprise B, and data center C.

[0067] The electricity consumption data of manufacturing enterprise A, manufacturing enterprise B, and data center C are collected. By analyzing these data, it is found that the electricity consumption of manufacturing enterprises A and B is relatively large and the electricity load fluctuates greatly. While the electricity consumption of data center C is relatively stable, but it has high requirements for power supply reliability and power quality. Based on the geographical location of enterprises, electricity consumption data, and the layout of the distribution network, the industrial park is divided into two sub - electricity - using areas: Area 1 (including manufacturing enterprises A and B) and Area 2 (including data center C).

[0068] Attribute information is defined for these two areas. For example, the expected electricity load of Area 1 is relatively high, and the volatility of the electricity load needs to be considered. While Area 2 needs to pay special attention to power supply reliability and power quality.

[0069] Furthermore, the power supply levels of multiple sub - electricity - using areas are determined based on the comparison of multiple sub - electricity - using areas, and multiple interactions are carried out among the power supply levels of multiple sub - electricity - using areas, the power supply quantities of multiple sub - electricity - using areas, and the past electricity consumption data of enterprises, realizing the multiple interactions among the power supply levels of multiple sub - electricity - using areas, the power supply quantities of multiple sub - electricity - using areas, and the past electricity consumption data of enterprises.

[0070] At this time, basic information about each sub - power - using area is collected, including enterprise type, power - using load characteristics, importance level, etc. This information will be used to evaluate the power supply demand of each area; a comparative analysis is carried out on each sub - power - using area, considering factors such as the stability of the power - using load, peak - valley differences, growth potential, etc.; for example, areas containing important infrastructure or high - tech enterprises require a higher power supply level; based on the results of the comparative analysis, each sub - power - using area is divided into different power supply levels; the power supply levels are divided according to actual needs, such as level one (the highest level), level two, level three, etc., and each level corresponds to different power supply reliability and quality requirements.

[0071] According to the power - using load characteristics and growth trends of each sub - power - using area, the future power supply demand is predicted; the past power - using data of each enterprise is sorted out, including monthly power consumption, power consumption during peak - valley periods, maximum load, etc. This data will be used to analyze the power - using behavior patterns and load characteristics of the enterprises; at the same time, the power supply level, power supply quantity prediction, and past power - using data are integrated to form a comprehensive data set, which will be used for subsequent multiple interaction analyses; multiple interaction analyses are carried out on the integrated data, which includes considering the impact of the power supply level on the power supply demand, the predictive value of past power - using data for future power supply demand, etc.; through this analysis, a deeper understanding of the power supply demand and characteristics of each sub - power - using area is achieved; the analysis results are output in the form of charts, reports, etc., for subsequent decision - making and planning.

[0072] Specifically, suppose there is an industrial park, and three sub - power - using areas have been divided according to enterprise locations and power - using data: Area A (containing heavy - industry enterprises), Area B (containing light - industry enterprises and R & D centers), and Area C (containing data centers and critical infrastructure).

[0073] Information about each area is collected, and it is found that the power - using load in Area A is large and fluctuates greatly because heavy - industry enterprises require a large amount of electricity to drive equipment; the power - using load in Area B is relatively stable and has a certain growth potential; Area C contains data centers and critical infrastructure with extremely high requirements for power supply reliability and power quality.

[0074] Based on this information, Area A is divided into the second - level power supply level (requiring relatively high power supply reliability and a certain redundancy capacity), Area B is divided into the third - level power supply level (basic power supply demand), and Area C is divided into the first - level power supply level (the highest level of power supply reliability and power quality).

[0075] The power supply demand in each region for the next few years is predicted; for example, considering the expansion plans and equipment upgrades of heavy industrial enterprises, the power supply demand in Region A is predicted to continue to grow; in Region B, due to the presence of R & D centers, its power supply demand will fluctuate with the launch of new projects; the power supply demand in Region C is relatively stable, but it is necessary to ensure that its high-load demand can be met under any circumstances.

[0076] At the same time, the past electricity consumption data of each enterprise was sorted out, and it was found that the enterprises in Region A often approached or reached their maximum load during peak electricity consumption periods, while the enterprises in Regions B and C showed a more stable electricity consumption behavior pattern. The power supply level, power supply quantity prediction, and past electricity consumption data were integrated into a dataset, and multiple interactive analyses were carried out using data analysis tools; the analysis results showed that Region A needed to pay special attention to its power supply reliability and redundant capacity to ensure that there would be no power shortage during peak electricity consumption periods; although the electricity load in Region B was relatively stable, it also needed to consider its growth potential and changes in electricity consumption behavior; Region C, on the other hand, needed to always maintain the highest power supply reliability and power quality to meet the operation needs of its critical infrastructure and data centers.

[0077] Therefore, multiple power supply paths were determined based on the multiple interactions of the power supply levels of multiple sub - electricity consumption regions, the power supply quantities of multiple sub - electricity consumption regions, and the past electricity consumption data of enterprises, improving the accuracy of the multiple power supply paths.

[0078] At this time, it is ensured that detailed information on the power supply level, power supply quantity prediction, past electricity consumption data, and the current status of the distribution network of each sub - electricity consumption region has been collected. This information is the basis for power supply path planning; the above - mentioned information is integrated to form a comprehensive dataset, which should contain information such as the demand characteristics of each sub - electricity consumption region, the layout of power facilities, and the power supply paths.

[0079] According to the power supply level and power supply quantity prediction, the main power supply paths for each sub - electricity consumption region are determined; regions with a high power supply level should give priority to direct power supply from the main power grid or large substations to ensure power supply reliability and power quality; according to factors such as the layout of power facilities and topography, the power supply paths from the substations to each sub - electricity consumption region are preliminarily planned, and these paths should be as short and straight as possible to reduce line losses and improve power supply efficiency.

[0080] Combined with the past electricity consumption data of enterprises, the preliminarily planned power supply paths are optimized; for example, for regions with large fluctuations in electricity load, consider adding backup power sources or adopting flexible power supply strategies to cope with the peak electricity consumption; adjust the power supply paths according to factors such as topography, obstacles, and urban planning; ensure that the paths meet both electrical safety requirements and the requirements of urban planning and environmental protection.

[0081] Meanwhile, evaluate the optimized power supply path plan, considering factors such as economy, feasibility, reliability, and environmental impact; ensure that the plan not only meets the actual needs but also has a certain degree of foresight and scalability; based on the evaluation results, determine the final power supply path plan, which should detail the power supply paths, wire specifications, substation access points, etc. for each sub - power - using area.

[0082] Specifically, assume there is an industrial park that has divided three sub - power - using areas according to the enterprise locations and electricity consumption data: Area A (heavy - industry enterprises), Area B (light - industry and R & D centers), and Area C (data centers and critical infrastructure); the power supply levels and power consumption forecasts for each area have been determined, and the past electricity consumption data of the enterprises has been collected.

[0083] Detailed information on the power supply levels, power consumption forecasts, past electricity consumption data, and the current status of the distribution network for each area has been collected and integrated into a comprehensive data set; based on the power supply levels and power consumption forecasts, the main power supply paths for each area have been determined; for example, since Area C contains data centers and critical infrastructure, it is classified as a first - level power supply level, so it is planned to be directly powered from the main grid to ensure power supply reliability and power quality.

[0084] Using GIS tools, the power supply paths from the substation to each area have been preliminarily planned, and these paths are as short and straight as possible to reduce line losses. Combining with the past electricity consumption data of Area A, it is found that it often approaches or reaches the maximum load during peak electricity consumption periods; therefore, it is considered to add a standby substation near Area A and activate it during peak periods to cope with power supply shortages.

[0085] The optimized power supply path plan has been evaluated, considering factors such as economy, feasibility, reliability, and environmental impact; based on the evaluation results, the final power supply path plan has been determined, which details the power supply paths, wire specifications, substation access points, etc. for each area, and considers standby power sources and flexible power supply strategies to cope with peak electricity consumption and emergencies.

[0086] In step S13, based on multiple power supply paths, the power consumption abnormal events in the park, and the database of the distribution network, multiple abnormal nodes are determined, and according to the multiple abnormal nodes, the park distribution map, and the actual abnormal time, the abnormal area of the distribution network is determined;

[0087] In the specific implementation process of the present invention, the specific steps are as follows:

[0088] S131: Collect the electricity consumption data set of the park, determine multiple abnormal electricity consumption data according to the electricity consumption data set of the park, and determine the electricity consumption abnormal events in the park according to the multiple abnormal electricity consumption data and the corresponding locations of the park.

[0089] S132: Determine the database of the distribution network according to the database of the park and the layout diagram of the distribution network, associate multiple power supply paths, power consumption abnormal events in the park, and the database of the distribution network, and determine multiple abnormal nodes according to the interaction of the multiple power supply paths, power consumption abnormal events in the park, and the database of the distribution network;

[0090] S133: Determine the corresponding actual abnormal time based on the traceability of multiple abnormal nodes; determine the first abnormal range according to the actual abnormal time and the park distribution map, and determine the second abnormal range according to the actual abnormal time and multiple abnormal nodes;

[0091] S134: Determine the abnormal area of the distribution network based on the first abnormal range, the second abnormal range, and the park distribution map.

[0092] In the embodiment of the present application, collect the power consumption data set of the park, determine multiple power consumption abnormal data according to the power consumption data set of the park, and determine the power consumption abnormal events in the park according to the multiple power consumption abnormal data and the corresponding positions of the parks, which takes into account the overall consideration of multiple power consumption abnormal data and the corresponding positions of the parks, and ensures the accuracy of the power consumption abnormal events in the park.

[0093] At this time, the power consumption data of the park comes from smart meters installed at each power consumption device or enterprise entrance. These meters can record key parameters such as current, voltage, power factor, active power, reactive power, and power consumption in real time or regularly; the data collection frequency depends on the specific requirements of the park and the performance of the meters; it is real-time (collected once per second or per minute), and also regular (such as once per hour, per day, or per week).

[0094] Perform abnormal detection on the collected power consumption data. These formulas can identify data points that deviate significantly from the normal power consumption pattern, that is, power consumption abnormal data; the criteria for abnormal judgment include sudden surges or drops in power consumption, abnormal fluctuations in power factor, voltage or current exceeding the normal range, etc.; once abnormal data is detected, it needs to be marked, and the time, location, and relevant parameters of the abnormality occurrence are recorded.

[0095] Associate the marked abnormal data with the location information of the park (such as enterprise name, floor, room number, etc.) to determine the specific location where the abnormality occurs; define specific power consumption abnormal events according to the type and severity of the abnormal data; for example, a sudden increase in power consumption indicates equipment failure or illegal power consumption, and an abnormal power factor indicates insufficient reactive power compensation or load imbalance; record the power consumption abnormal events in the form of logs or reports, including information such as event type, occurrence time, location, and abnormal parameters, for subsequent analysis and processing.

[0096] Specifically, assume that there are 10 enterprises in an industrial park, and each enterprise has installed a smart electricity meter to monitor electricity consumption data in real time; the park manager decides to collect electricity consumption data once a day and conduct anomaly detection; the park manager collects electricity consumption data from the smart electricity meters of each enterprise through a data management system every day, including active power, reactive power, electricity consumption, etc.

[0097] Analyze the collected electricity consumption data; the formula detects that the electricity consumption of a certain enterprise (assumed to be Enterprise A) suddenly surges on a certain day, far exceeding the historical average level; mark the abnormal data and record the time of the anomaly (such as a certain year, month, and day), location (Enterprise A), and relevant parameters (electricity consumption).

[0098] The park manager associates the marked abnormal data with the location information of Enterprise A to determine that the anomaly occurred at Enterprise A; according to the type and severity of the abnormal data, define this event as an "abnormal event of sudden increase in electricity consumption"; the park manager records the event, including event type (sudden increase in electricity consumption), occurrence time, location (Enterprise A), abnormal parameters (electricity consumption), etc., and decides to further investigate the electricity consumption situation of Enterprise A to find out the cause of the anomaly and take corresponding measures.

[0099] Furthermore, determine the database of the distribution network according to the database of the park and the layout diagram of the distribution network, and associate multiple power supply paths, the electricity consumption abnormal events in the park, and the database of the distribution network. Determine multiple abnormal nodes based on the interaction of multiple power supply paths, the electricity consumption abnormal events in the park, and the database of the distribution network, ensuring the accuracy of multiple abnormal nodes.

[0100] At this time, collect and integrate all the database information related to electricity in the park, which includes but is not limited to enterprise electricity consumption records, equipment information, historical fault records, etc.; use the distribution network layout diagram provided by the park, which details the connection relationships and locations of key elements such as substations, transmission lines, switchgear, and transformers; combine the layout diagram information with the park database to build a comprehensive distribution network database; optionally, conduct on-site verification when necessary; at the same time, update the database regularly to reflect the latest changes in the distribution network.

[0101] According to the distribution network database, identify all the power supply paths in the park, which start from the substation, pass through transmission lines, switchgear, and transformers, and finally reach each electricity-consuming enterprise; associate each electricity-consuming enterprise with a specific power supply path based on the enterprise's geographical location, electricity consumption demand, and the layout of the distribution network.

[0102] Match the abnormal power consumption events identified in S131 with the power supply paths, which involves analyzing the location, time, and nature of the abnormal events to determine which power supply paths are affected; meanwhile, in the distribution network database, update the information of the abnormal power consumption events, including the event type, occurrence time, affected enterprises, and power supply paths.

[0103] Use the information in the distribution network database and the data of the abnormal power consumption events for interactive analysis, which includes analyzing the impact of the abnormal events on each node (such as switchgear, transmission lines, transformers, etc.) on the power supply path; evaluate the status of each node on the power supply path to determine which nodes have failures or abnormalities due to the abnormal events, which is based on factors such as the historical performance of the nodes, current load conditions, and environmental conditions; according to the results of the interactive analysis and node status evaluation, determine multiple abnormal nodes, which are the focus of further investigation and repair work.

[0104] Specifically, assume that an industrial park detected an abnormal event of a sharp increase in the power consumption of Enterprise B in step S131; now, the park manager will perform step S132 to determine the abnormal nodes;

[0105] The park manager integrated all the power-related database information in the park and combined it with the distribution network layout diagram to build a comprehensive distribution network database; this database contains information on key elements such as substations, transmission lines, switchgear, and transformers; according to the distribution network database, the park manager identified all the power supply paths from the substation to Enterprise B, and these paths include specific transmission lines, switchgear, and transformers.

[0106] The park manager matched the abnormal event of the sharp increase in the power consumption of Enterprise B with the power supply paths; by analyzing the location, time, and nature of the abnormal event, they determined which power supply paths were affected; the park manager performed interactive analysis and evaluated the status of each node on the power supply path; they found that during the abnormal event, the load of a certain transmission line suddenly increased, and a certain switchgear on this line showed overheating.

[0107] Based on this information, the park manager determined the switchgear and the relevant transmission line as the abnormal nodes; they decided to further investigate the status of these nodes and take necessary repair measures to ensure the power supply safety of the park.

[0108] Furthermore, based on the tracing of multiple abnormal nodes, determine the corresponding actual abnormal time; according to the actual abnormal time and the park distribution map, determine the first abnormal range, and according to the actual abnormal time and multiple abnormal nodes, determine the second abnormal range, and introduce the first abnormal range and the second abnormal range.

[0109] At this time, check the status records of each abnormal node in the distribution network database. These records include the real-time monitoring data of the nodes, historical event logs, etc. By analyzing the timestamps in the status records, find the time points that match the abnormal status. This time point is the actual occurrence time of the abnormal event. If the abnormal status lasts for a period of time, it is necessary to determine the specific start and end times of the abnormality to form a time range.

[0110] For the first abnormal range, use the geographical distribution map of the park to analyze which areas or enterprises are directly affected when the abnormal event occurs. Based on the time of the abnormality and the layout of the enterprises in the park, initially delimit a range of affected areas, that is, the first abnormal range. This range is based on the physical distance and time of the spread of the abnormal event.

[0111] For the second abnormal range, deeply analyze the relationship between the power supply path and the abnormal node, especially those paths directly connected to or affected by the abnormal node. Use power flow simulation software to simulate the flow of electricity in the distribution network when the abnormal event occurs. This helps to identify which additional areas or enterprises are affected due to changes in the power flow. Combine the results of the power supply path analysis and the power flow simulation to delimit a more accurate range of affected areas, that is, the second abnormal range. This range takes into account the complexity and interdependence of the power network.

[0112] Specifically, assume that in step S132, the park manager identified two abnormal nodes: one is the switchgear S1 near enterprise C, and the other is the transmission line L2 near enterprise D. Now, they will continue with step S133 to determine the abnormal time and range.

[0113] The park manager checked the status records of the switchgear S1 and the transmission line L2 in the distribution network database. They found that between 3 pm and 4 pm on a certain day, S1 showed overheating, and the load of L2 suddenly increased. By timestamp matching, they determined that the actual occurrence time of the abnormal event was between 3:15 pm and 3:45 pm.

[0114] For the first abnormal range, using the park distribution map, the park manager analyzed the locations of enterprise C and enterprise D and their surrounding layouts. They found that both of these enterprises are located in the central area of the park and there are many other enterprises around. Based on the time of the abnormality and the layout analysis, they initially delimited a circular area with enterprise C and enterprise D as the center and a radius of about 500 meters as the first abnormal range.

[0115] Regarding the second abnormal range, the park managers deeply analyzed the relationship between the power supply path and the abnormal nodes S1 and L2; they found that both S1 and L2 are connected to the power supply path of enterprise E, and enterprise E is located outside the first abnormal range; they used power flow simulation software to simulate the flow of electricity in the distribution network during the abnormal event; the simulation results showed that due to the overheating of S1 and the increased load of L2, the power supply of enterprise E would be affected; combining the results of the power supply path analysis and the power flow simulation, they delimited a more precise area centered on enterprise C, enterprise D, and enterprise E, considering the influence of the power supply path and the power flow, as the second abnormal range, which is larger than the first abnormal range and includes more affected areas and enterprises.

[0116] Therefore, determining the abnormal area of the distribution network based on the first abnormal range, the second abnormal range, and the park distribution map takes into account multiple abnormal nodes, the park distribution map, and the actual abnormal time as a whole, ensuring the accuracy of the abnormal area of the distribution network, so as to achieve precise control during the distribution network control process.

[0117] At this time, summarize the data of the first abnormal range and the second abnormal range, including information such as the range boundary, affected enterprises or areas, and abnormal node locations; compare and analyze the similarities and differences between the first abnormal range and the second abnormal range, especially the overlapping parts and extended areas between them, which helps to understand the breadth and depth of the impact of the abnormal event on the distribution network.

[0118] Match the integrated abnormal range information with the geographical distribution map of the park to ensure that the delimitation of the abnormal area conforms to the actual layout of the park; during the analysis process, consider environmental factors within the park, such as building layout, road network, green belts, etc., which affect the spread and impact range of the abnormal event.

[0119] Furthermore, based on the integrated abnormal range information and the park distribution map, make a comprehensive judgment to determine the area in the distribution network that is truly affected by the abnormal event, which should cover all affected lines, equipment, enterprises, and areas; clarify the boundary of the abnormal area to ensure that the boundary is neither too broad nor too narrow, so that subsequent investigation, repair, and prevention measures can be accurately implemented. At the same time, record the determined abnormal area in detail in the form of charts, texts, etc., including information such as the area boundary, list of affected enterprises or areas, and abnormal node locations; compile a complete report summarizing the discovery, analysis, and determination process of the abnormal event, as well as the specific information of the abnormal area, and this report will serve as an important basis for subsequent investigation and repair work.

[0120] Specifically, assume that in step S133, the park manager has determined the first abnormal range and the second abnormal range; now, they will continue with step S134 to determine the abnormal area of the distribution network.

[0121] The park manager summarizes the data of the first abnormal range (a circular area with enterprises C and D as the centers and a radius of about 500 meters) and the second abnormal range (a more precise area with enterprises C, D, and E as the centers, considering the influence of the power supply path and power flow); they compare and analyze the similarities and differences between the two ranges and find that the second abnormal range extends a certain distance to the northeast on the basis of the first abnormal range and includes enterprise E.

[0122] The park manager matches the integrated abnormal range information with the geographical distribution map of the park; they find that the abnormal area is mainly located in the east-central area of the park, and there are multiple main power supply paths and multiple important enterprises around it; during the analysis, they consider factors such as the building layout, road network, and green belt in the park, and these factors have a certain obstructive or guiding effect on the spread and influence range of abnormal events.

[0123] Based on the integrated abnormal range information and the park distribution map, the park manager makes a comprehensive judgment and determines the area in the distribution network that is truly affected by the abnormal event. This area includes enterprises C, D, E, and the power supply paths and transformers and other equipment around them; they clarify the boundary of the abnormal area to ensure that the boundary is neither too broad nor too narrow; the determination of the boundary considers the farthest distance of the spread of the abnormal event and the mutual dependence of the power network.

[0124] The park manager records the determined abnormal area in detail in the form of charts and text, and prepares a complete report; the report outlines the discovery, analysis, and determination process of the abnormal event, as well as the specific information of the abnormal area, including the boundary, the list of affected enterprises or areas, the location of abnormal nodes, etc. This report will serve as an important basis for subsequent investigation and repair work, helping the park manager to accurately implement repair measures and prevent the recurrence of similar events.

[0125] In step S14, according to the abnormal area of the distribution network, the real-time images corresponding to multiple abnormal nodes, and the distribution network information of the distribution network, an optimization event of the distribution network is determined, and the optimization event of the distribution network contains multiple distribution network optimization projects;

[0126] In the specific implementation process of the present invention, the specific steps are as follows:

[0127] S141: Obtain the abnormal area of the distribution network and perform real-time monitoring on the abnormal area of the distribution network;

[0128] S142: Determine corresponding monitoring areas based on the locations of multiple abnormal nodes, and determine real-time images corresponding to the multiple abnormal nodes based on the real-time monitoring of each monitoring area;

[0129] S143: Determine the distribution network information of the distribution network based on the layout diagram of the distribution network, the model information of the distribution network, and the database of the distribution network;

[0130] S144: Determine multiple abnormal combinations based on the multiple interactions of the abnormal areas of the distribution network, the real-time images corresponding to the multiple abnormal nodes, and the distribution network information of the distribution network;

[0131] S145: Determine multiple abnormal characteristics based on the identification of multiple abnormal combinations, and determine the optimization events of the distribution network according to the multiple abnormal characteristics. The optimization events of the distribution network include multiple distribution network optimization projects.

[0132] In the embodiments of the present application, obtain the abnormal areas of the distribution network, and perform real-time monitoring on the abnormal areas of the distribution network; determine corresponding monitoring areas based on the locations of multiple abnormal nodes, and determine real-time images corresponding to the multiple abnormal nodes based on the real-time monitoring of each monitoring area, introducing the real-time images corresponding to the multiple abnormal nodes.

[0133] At this time, obtain the abnormal areas of the distribution network, which include faulty equipment, overloaded lines, or potential safety hazards; the information of the abnormal areas includes geographical locations, involved equipment and lines, and the initially judged abnormal types.

[0134] After determining the abnormal areas, the park manager needs to deploy real-time monitoring devices, such as cameras, temperature sensors, current and voltage monitors, etc., to collect data in this area in real time; the monitoring devices should cover the key nodes of the abnormal areas to ensure that any abnormal changes can be captured; the real-time monitoring data is transmitted to the central monitoring center through a communication network for managers to analyze and make decisions.

[0135] The central monitoring center collects data from each monitoring device and performs real-time analysis; the analysis content includes current and voltage fluctuations, temperature changes, equipment operating status, etc.; through data analysis, managers can timely discover abnormal trends or potential faults, providing a basis for taking preventive measures.

[0136] After determining the abnormal areas, the park manager needs to further locate multiple abnormal nodes in this area, which are fault points, overload points, or potential danger points; the location of the abnormal nodes is achieved through methods such as on-site investigation, equipment status monitoring, or data analysis.

[0137] Based on the location of the abnormal nodes, the park manager determines the corresponding monitoring area; the monitoring area should cover all abnormal nodes and ensure that the real-time status of the nodes can be captured; the size and shape of the monitoring area vary depending on the distribution of the abnormal nodes and the on-site environment.

[0138] Deploy cameras or other image acquisition devices within the monitoring area to obtain real-time images of the abnormal nodes; the real-time images are transmitted to the central monitoring center through the communication network for visual analysis and judgment by the management personnel; the image acquisition devices should have functions such as high definition, night vision, and anti-shake to ensure the image quality and clarity.

[0139] Furthermore, the distribution network information of the distribution network is determined based on the layout diagram of the distribution network, the model information of the distribution network, and the database of the distribution network, ensuring the accuracy of the distribution network information of the distribution network.

[0140] At this time, for the layout diagram of the distribution network, obtain the physical layout information of the distribution network, including line directions, equipment locations, switch stations, etc.; the layout diagram is the basis for understanding the structure of the distribution network and is crucial for locating abnormal areas and analyzing the scope of fault impact.

[0141] Regarding the model information of the distribution network, understand the equipment models, specifications, and performance parameters used in the distribution network; the model information of the distribution network plays a key role in evaluating equipment status, predicting fault trends, formulating maintenance plans, etc. The database provides a comprehensive view of the operation of the distribution network, helping to identify potential problems and optimize operation strategies.

[0142] Regarding the distribution network database, obtain the historical data, operation status, and fault records of the distribution network; the database includes systems such as SCADA (Supervisory Control and Data Acquisition), CMS (Asset Management System), and fault record system. Integrate the collected layout diagram, model information, and database data into a unified platform or system and conduct analysis to generate a detailed information report of the distribution network, including equipment lists, line parameters, historical fault statistics, etc.

[0143] Specifically, assume that in a certain industrial park, a fault occurred in the distribution network, resulting in power outages in some areas; the park manager decided to conduct a detailed analysis of the distribution network information in order to quickly locate the fault point and formulate a recovery plan; the park manager exported the layout diagram of the distribution network from the GIS system, which detailedly showed information such as line directions, transformer locations, and switch stations within the park; by consulting equipment procurement contracts and equipment labels, the park manager obtained the model information of all key equipment in the fault area, including transformer models, switchgear models, cable specifications, etc.

[0144] The park manager logged into the SCADA system and extracted real-time data such as current, voltage, and power factor before and after the fault occurred. At the same time, the maintenance history, fault records, and preventive test reports of the equipment were also obtained from the CMS system. The park manager used specialized distribution network management software to integrate the layout diagram, model information, and database data. Through software analysis, they found that the fault was caused by an overloaded aging transformer. The software also provided a simulation diagram of the fault impact area, showing which areas would be affected by the power outage. At the same time, based on this information, the park manager quickly developed a recovery plan, including dispatching standby transformers, adjusting load distribution, and arranging a repair team for on-site emergency repair. Through this series of steps, the park manager not only quickly located the fault point but also effectively reduced the power outage time and impact range.

[0145] Furthermore, multiple abnormal combinations are determined based on the abnormal areas of the distribution network, the real-time images corresponding to multiple abnormal nodes, and the multiple interactions of the distribution network information of the distribution network, achieving precise control of multiple abnormal combinations and ensuring the diversity of multiple abnormal combinations.

[0146] At this time, obtain the abnormal area information of the distribution network from the previous steps (such as S141), including geographical location, involved equipment and lines, etc.; obtain the real-time images of multiple abnormal nodes from monitoring devices (such as cameras), and these images reflect the current state of the abnormal nodes; obtain detailed distribution network information based on the layout diagram, model information, and database of the distribution network (as described in step S143), including equipment specifications, line parameters, historical fault records, etc.

[0147] Associate the abnormal area information with the real-time images, analyze the specific location, state changes, and fault modes of the abnormal nodes within the abnormal area; use the distribution network information to identify the equipment models, line parameters, and historical fault records related to the abnormal nodes, and analyze the influence of these factors on the state of the abnormal nodes; based on the above analysis, determine multiple abnormal combinations; each abnormal combination contains a set of related abnormal nodes and the association relationships between them, and these relationships are based on geographical location, equipment type, fault mode, etc. Optionally, compare the abnormal combinations with the historical fault records, maintenance records, etc. of the distribution network to further confirm their reliability and practical significance.

[0148] Specifically, assume that in the distribution network of a certain city, two abnormal areas A and B are determined through the previous steps, and each area contains multiple abnormal nodes. Now, the park manager needs to perform step S144 to determine multiple abnormal combinations.

[0149] Abnormal area A contains an overloaded transformer T1 and a cable L1 with abnormally elevated temperature; abnormal area B contains a circuit breaker CB2 that trips frequently and a line L2 with large current fluctuations; real-time images of these abnormal nodes are obtained from the monitoring equipment, such as the overheat image of transformer T1, the infrared thermal image of cable L1, the tripping indication of circuit breaker CB2, and the current waveform diagram of line L2.

[0150] The distribution network information shows the model, capacity, and historical fault records of transformer T1, the specifications and manufacturer information of cable L1, the maintenance records and tripping cause statistics of circuit breaker CB2, and the line parameters and load conditions of line L2.

[0151] The real-time images of transformer T1 and cable L1 in abnormal area A are correlated and analyzed with the distribution network information, and it is found that the overload of transformer T1 is caused by load imbalance due to the abnormally elevated temperature of cable L1; the real-time images of circuit breaker CB2 and line L2 in abnormal area B are matched and analyzed with the distribution network information, and it is found that the frequent tripping of circuit breaker CB2 is due to the overcurrent protection action caused by large current fluctuations in line L2; based on the above analysis, two abnormal combinations are formed: combination 1 (transformer T1 + cable L1) and combination 2 (circuit breaker CB2 + line L2).

[0152] Therefore, multiple abnormal characteristics are determined based on the identification of multiple abnormal combinations, and optimization events for the distribution network are determined based on multiple abnormal characteristics. The optimization events for the distribution network contain multiple distribution network optimization projects, the optimization events for the distribution network are introduced, and orderly optimization is carried out for multiple distribution network optimization projects.

[0153] At this time, based on the multiple abnormal combinations determined in step S144, the abnormal nodes in each combination and their relationships are further analyzed, and key abnormal characteristics are extracted; the abnormal characteristics include current overload, voltage abnormality, equipment overheating, line aging, frequent tripping, etc., and these characteristics reflect specific problems and potential risks in the distribution network; each abnormal characteristic is described in detail, including its location, scope of influence, severity, cause, etc.

[0154] Based on the identified abnormal characteristics, the goals of the distribution network optimization events are determined, and these goals include improving power supply reliability, reducing failure rates, optimizing load distribution, enhancing equipment performance, etc.; according to the optimization goals, specific optimization strategies are formulated, and these strategies involve equipment replacement, line transformation, load adjustment, preventive maintenance, etc.; the optimization strategies are refined into specific optimization projects; each project should clarify the responsible department, execution time, required resources, etc.

[0155] In an example of this application, the matching table of abnormal combinations and abnormal characteristics:

[0156]

[0157] Abnormal feature and optimization event matching table:

[0158]

[0159] Optimization event determination:

[0160] For combination 1: Implement load adjustment to reduce transformer overload, and replace aging cables to solve temperature anomaly problems.

[0161] For combination 2: Check and repair circuit breaker faults to reduce frequent tripping, strengthen the monitoring of line L2, and consider line renovation or upgrade to solve current fluctuation problems.

[0162] In step S15, determine the autonomous optimization system of the distribution network based on the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the power consumption status of the park;

[0163] In the specific implementation process of the present invention, the specific steps are as follows:

[0164] S151: Obtain multiple distribution network optimization projects, and determine the optimization duration of multiple distribution network optimization projects according to multiple distribution network optimization projects, the corresponding personnel configuration, and the locations where the distribution network optimization projects are located;

[0165] S152: Determine the priorities of multiple distribution network optimization projects according to multiple distribution network optimization projects, the types of power consumption in the park, and the corresponding time;

[0166] S153: Collect the power consumption data of the park based on the database of the park, and determine the power consumption status of the park according to the power consumption data of the park, the types of power consumption in the park, and the load conditions of the distribution network;

[0167] S154: Determine the autonomous optimization system of the distribution network through multiple trainings of the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the power consumption status of the park.

[0168] In the embodiment of the present application, obtaining multiple distribution network optimization projects and determining the optimization duration of multiple distribution network optimization projects according to multiple distribution network optimization projects, the corresponding personnel configuration, and the locations where the distribution network optimization projects are located ensures the accuracy of the optimization duration of multiple distribution network optimization projects.

[0169] At this time, obtain the list of distribution network optimization projects, and these projects include multiple aspects such as equipment replacement, line renovation, load adjustment, and energy efficiency improvement. Conduct a detailed analysis of the specific content, objectives, required materials and tools of each distribution network optimization project; evaluate the complexity and technical difficulty of the project, as well as the risks and challenges encountered.

[0170] Determine the types, quantities, and skill levels of personnel required for each project; analyze the capabilities and resources of the existing team, including technical experts, construction workers, management personnel, etc.; consider whether external support or outsourcing services are needed; at the same time, examine the geographical location, environmental conditions, safety requirements, etc. of project implementation; evaluate the potential impact of the project on the surrounding environment (such as traffic, residential areas, other facilities); consider whether special construction permits or safety measures are required. Based on the above analysis, formulate a reasonable estimated completion time (optimized duration) for each project; consider the durations of the project preparation phase, construction phase, and acceptance phase.

[0171] Specifically, the industrial park plans to optimize the distribution network, which includes the following two projects:

[0172] Project A: Replace old transformers to improve power supply reliability and energy efficiency; Project B: Retrofit the low-voltage lines in the park to reduce line losses and improve power supply quality;

[0173] Detailed information on Project A and Project B was obtained from the planning phase; Project A involves the selection, procurement, installation, and commissioning of transformers, with relatively high technical difficulty; Project B requires excavation along the line, laying of new lines, installation of new equipment, and commissioning, with a large amount of construction work and the need to coordinate multiple departments. Project A requires electrical engineers, construction workers, and commissioning personnel, approximately 10 people in total; Project B requires line workers, electrical installers, safety supervisors, etc., approximately 20 people in total; considering the capabilities of the in-park team, it was decided to outsource some of the construction tasks.

[0174] The transformer for Project A is located in the center of the park, with busy traffic around it, and a detailed traffic diversion plan needs to be formulated; Project B involves the renovation of lines in multiple areas, and the production arrangements of enterprises in the park need to be coordinated to reduce the impact of construction on production.

[0175] Project A is expected to take 3 months, including 1 month of preparation phase (selection, procurement), 1 month of construction phase, and 1 month of commissioning and acceptance phase; Project B is expected to take 6 months because of the large amount of construction work and the need to be carried out in segments, including 2 months of preparation phase, 3 months of construction phase, and 1 month of commissioning and acceptance phase; considering delays and unforeseen problems, a 1-month buffer was reserved for each project.

[0176] Furthermore, according to multiple distribution network optimization projects, the types of electricity consumption in the park, and the corresponding time, the priorities of multiple distribution network optimization projects were determined, and the priorities of multiple distribution network optimization projects were introduced to achieve the orderly arrangement of multiple distribution network optimization projects.

[0177] At this time, review the list of distribution network optimization projects obtained in step S151, and deeply understand the goals, contents, and expected benefits of each project; evaluate the urgency and importance of each project, considering its impact on aspects such as the power supply stability, energy efficiency, and safety of the park.

[0178] Identify the main types of electricity consumption in the park, such as industrial electricity, commercial electricity, residential electricity, etc.; analyze the demands and characteristics of different types of electricity consumption. For example, industrial electricity has higher requirements for power supply stability and continuity, while commercial electricity is sensitive to peak-valley electricity prices.

[0179] Evaluate the feasibility and effectiveness of each optimization project implemented in different time periods (such as seasons, weekdays and weekends, day and night); consider the fluctuation of the electricity load in the park, and select the time period with the least impact on electricity consumption for project construction; based on the project urgency, importance, electricity type demands, and time factors, formulate a set of priority ranking principles. These principles include: first solve the projects that affect power supply stability, and then consider the energy efficiency improvement projects; give priority to construction during the low electricity consumption period to reduce the impact on the park's electricity consumption. Further, according to the formulated ranking principles, score or rank each optimization project; determine the priority order of each project to provide a basis for subsequent project management and resource scheduling.

[0180] Specifically, an industrial park plans to implement the following three distribution network optimization projects:

[0181] Project A: Replace the old high-voltage cables in the park to improve power supply stability and safety; Project A is urgent and important because the old cables have safety hazards and affect power supply stability; Project B: Install an intelligent electricity meter system to achieve real-time monitoring of electricity consumption data and energy efficiency management; Project B has a relatively high importance but a relatively low urgency because the intelligent electricity meter system requires a long time for planning and deployment; Project C: Conduct energy-saving transformation on the lighting system in the park to reduce energy consumption and operating costs; Project C has a positive effect on energy efficiency improvement but a low urgency and will be carried out after other projects are completed.

[0182] Industrial electricity is the main type of electricity consumption in the park, with strict requirements for power supply stability and continuity; commercial electricity accounts for a relatively small proportion but is sensitive to peak-valley electricity prices; at the same time, considering the continuous demand for industrial electricity, avoid construction during the production peak period; install the intelligent electricity meter system during the non-peak period to reduce interference with the park's electricity consumption.

[0183] Therefore, first solve the projects that affect power supply stability and safety (Project A), and then consider the energy efficiency improvement and cost-saving projects (Project B, C); give priority to construction during the low electricity consumption period or the non-production peak period.

[0184] Project A is identified as the highest priority because it is urgent and important and has a direct impact on power supply stability and safety; Project B is identified as the second-highest priority because the smart meter system plays an important role in energy efficiency management but is installed during off-peak hours; Project C is identified as the lowest priority because although energy-saving renovation is beneficial, its urgency is not high and it will be carried out after other projects are completed.

[0185] Furthermore, the power consumption data of the park is collected based on the park's database, and the power consumption status of the park is determined according to the park's power consumption data, the types of power consumption in the park, and the load conditions of the distribution network, ensuring the accuracy of the park's power consumption status.

[0186] At this time, access the smart meters, energy management systems or other data collection devices installed in the park; collect power consumption data from these devices in real time or regularly, including but not limited to total power consumption, power consumption by category (such as industrial, commercial, residential), power factor, voltage and current data, etc.; ensure the accuracy and integrity of the data and perform necessary data cleaning and preprocessing.

[0187] Statistically analyze the collected power consumption data to identify power consumption trends, peak and valley periods, abnormal power consumption behaviors, etc.; calculate key indicators such as daily average power consumption, maximum load, load rate, energy efficiency ratio, etc. to evaluate the power consumption efficiency and load characteristics of the park.

[0188] Analyze the characteristics and patterns of different power consumption demands according to the types of power consumption in the park (such as industrial, commercial, residential); industrial power consumption has the characteristics of high load and continuity, and power supply stability and energy efficiency need to be concerned; commercial power consumption is sensitive to peak-valley electricity prices, and power consumption strategies need to be optimized; residential power consumption is dispersed, and power consumption safety and comfort need to be concerned.

[0189] Monitor the real-time load of the distribution network, including the load of each line, transformer load rate, power factor, etc.; analyze the load balance, overload conditions and potential safety hazards; consider the growth trend of future power consumption demands and evaluate the carrying capacity and expansion needs of the distribution network. Based on the above analysis, determine the current power consumption status of the park, including aspects such as power consumption efficiency, load characteristics, and power consumption safety.

[0190] Specifically, an industrial park plans to evaluate its power consumption status to formulate targeted optimization strategies;

[0191] Power consumption data for the past month has been collected from the smart meters and energy management systems in the park, including total power consumption, industrial power consumption, commercial power consumption, residential power consumption, and voltage and current data, etc.

[0192] Through statistical analysis, it is found that the electricity consumption in the industrial park is significantly higher on weekdays than on weekends, and there are obvious peak and valley periods; industrial electricity consumption dominates during the daytime peak hours, while commercial and residential electricity consumption increases at night and on weekends; indicators such as average daily electricity consumption, maximum load, and load rate are calculated, and it is found that the load rate is relatively low, indicating problems of low electricity consumption efficiency.

[0193] The characteristics and demands of industrial, commercial, and residential electricity consumption are analyzed; industrial electricity consumption is characterized by high load and continuity, and it is necessary to ensure power supply stability and energy efficiency; commercial electricity consumption is sensitive to peak-valley electricity prices, and it is necessary to optimize electricity consumption strategies to reduce costs; residential electricity consumption focuses on electricity safety and comfort.

[0194] The real-time load of the distribution network is monitored, and it is found that some lines are overloaded and the load rates of transformers are uneven; considering the future electricity demand of industrial expansion and new projects, the carrying capacity and expansion demand of the distribution network are evaluated; based on the above analysis, the current electricity consumption status of the park is determined as: low electricity consumption efficiency, uneven load, potential overload safety hazards, and future expansion demand; the existing problems and challenges are identified, including improving electricity consumption efficiency, optimizing load distribution, strengthening distribution network safety management, and planning expansion plans, etc.

[0195] Therefore, an autonomous optimization system for the distribution network is determined through multiple trainings of the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the electricity consumption status of the park. The autonomous optimization system of the distribution network is introduced, and the distribution network control of the distribution network is further realized, ensuring the accuracy of the distribution network of the distribution network.

[0196] At this time, summarize the optimization duration and priority information of multiple distribution network optimization projects obtained from steps S151 and S152; ensure the accuracy of key data such as the optimization duration, required resources, and expected benefits of each project.

[0197] Review the electricity consumption status data of the park obtained from step S153, including the evaluation results in aspects such as electricity consumption efficiency, load characteristics, and electricity safety; analyze the potential connections between these data and distribution network optimization projects, and identify optimization opportunities and challenges; based on the above information, design a system framework that can make autonomous decisions and dynamically adjust the execution order and strategy of distribution network optimization projects; this framework should be able to monitor the electricity consumption status of the park in real time or regularly, and automatically adjust the priorities and execution plans of optimization projects according to changes in electricity demand.

[0198] Use historical data and simulation scenarios to conduct multiple trainings on the autonomous optimization system to verify its decision-making ability and optimization effect; during the training process, continuously adjust and optimize the formulas, models, and parameters of the system to improve its accuracy and adaptability; consider the impacts of different electricity consumption types, load characteristics, seasonal changes, and other factors on the optimization decision-making to ensure that the system can make reasonable decisions in various situations.

[0199] Deploy the autonomous optimization system in the actual environment and continuously monitor its operation status and optimization effect; collect feedback data and make necessary adjustments and optimizations to the system to ensure its long-term stable operation; regularly evaluate the performance and benefits of the system and compare them with the expected goals to verify its effectiveness and sustainability.

[0200] Specifically, an industrial park plans to establish an autonomous optimization power distribution network management system; summarized the information of multiple power distribution network optimization projects in the park, including projects such as replacing old equipment, line transformation, and energy efficiency improvement; assigned priorities to each project according to the urgency and importance of the project, and estimated the optimization duration and required resources.

[0201] Reviewed the electricity consumption data of the park in the past year and found problems such as low electricity consumption efficiency and unbalanced load; analyzed the potential connections between these problems and the optimization projects, and identified opportunities to improve electricity consumption efficiency by optimizing equipment configuration, adjusting load distribution, etc.

[0202] Designed an autonomous optimization system framework based on big data and artificial intelligence technologies; this framework can monitor the electricity consumption status of the park in real time and automatically adjust the priorities and implementation plans of optimization projects according to changes in electricity consumption demands; for example, when a certain line is detected to be overloaded, the system automatically adjusts the load distribution or preferentially executes the optimization projects related to this line.

[0203] Used historical data and simulation scenarios to conduct multiple trainings on the autonomous optimization system to verify its decision-making ability and optimization effect; during the training process, continuously adjusted and optimized the formulas, models, and parameters of the system to improve its accuracy and adaptability; considered the impacts of different electricity consumption types, load characteristics, seasonal changes, and other factors on the optimization decision-making to ensure that the system can make reasonable decisions in various situations.

[0204] Actually deployed the autonomous optimization system in the park and continuously monitored its operation status and optimization effect; through collecting feedback data, made necessary adjustments and optimizations to the system to ensure its long-term stable operation; after several months of operation, the electricity consumption efficiency of the park has been significantly improved, the load distribution is more balanced, and there has been no overload phenomenon again; at the same time, the execution of optimization projects is more orderly and efficient, reducing the operation and maintenance costs.

[0205] In summary, through steps such as integrating and optimizing project information, analyzing the power consumption status data of the park, designing an autonomous optimization system framework, multiple trainings and optimizations, and implementation and verification, the industrial park has successfully established an autonomous optimization power distribution network management system. This system can automatically adjust the priorities and execution plans of optimization projects according to the changing power consumption demands of the park, improve the power consumption efficiency and the balance of load distribution, reduce the operation and maintenance costs, and provide strong support for the sustainable development of the park.

[0206] In one embodiment of the present application, an optimization matching table is constructed to associate each power distribution network optimization project with its optimization duration, priority, and the power consumption status of the park. For example:

[0207]

[0208] According to the real-time power consumption status of the park, such as whether it is currently in a high-load period and whether there are problems such as low energy efficiency, projects that match the current status are screened out from the matching table. For example, if the park is currently in a high-load period and has low energy efficiency, projects A and B are screened out.

[0209] Next, a preliminary optimization plan is formulated according to the priority and optimization duration of the projects. For example, project A with the highest priority and the shortest optimization duration is executed first to quickly relieve the high-load problem, and then project B is executed to improve energy efficiency. As the power consumption status of the park changes, such as a decrease in load or an increase in energy efficiency, the optimization plan needs to be dynamically adjusted, which is achieved by real-time monitoring of power consumption data and updating the matching table.

[0210] Please refer to Figure 3 , Figure 3 which is a schematic structural composition diagram of the power distribution control system of the power distribution network based on the park in the embodiment of the present invention;

[0211] As Figure 3 shown, the power distribution control system of the power distribution network based on the park includes:

[0212] The layout diagram module 21 is used to determine the layout diagram of the power distribution network of the park based on the park distribution map, the spatial positions of the substations, and the distribution positions of the conducting wires;

[0213] The power supply path module 22 is used to determine multiple power supply paths according to the layout diagram of the power distribution network, the positions of the enterprises in the park, and the past power consumption data of the enterprises;

[0214] The abnormal area module 23 is used to determine multiple abnormal nodes based on multiple power supply paths, the power consumption abnormal events in the park, and the database of the power distribution network, and determine the abnormal area of the power distribution network according to the multiple abnormal nodes, the park distribution map, and the actual abnormal time;

[0215] Optimization project module 24, which is used to determine an optimization event of the distribution network according to the abnormal area of the distribution network, the real-time images corresponding to multiple abnormal nodes, and the distribution network information of the distribution network. The optimization event of the distribution network includes multiple distribution network optimization projects;

[0216] Independent optimization module 25, which is used to determine an independent optimization system of the distribution network based on the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the power consumption status of the park.

[0217] For any combination of the technical features of the above embodiments, for the sake of brevity of description, 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, it should be considered as the scope recorded in this specification.

Claims

1. A distribution network control method for a park-based distribution network, characterized in that, Including: Determining the layout diagram of the distribution network of the park based on the park distribution map, the spatial location of the substation, and the distribution location of the conductive wires; Determining multiple power supply paths according to the layout diagram of the distribution network, the locations of the enterprises in the park, and the previous power consumption data of the enterprises; Determining multiple abnormal nodes based on multiple power supply paths, the power consumption abnormal events in the park, and the database of the distribution network, and determining the abnormal area of the distribution network according to the multiple abnormal nodes, the park distribution map, and the actual abnormal time, including: collecting the power consumption data set of the park, and determining multiple power consumption abnormal data according to the power consumption data set of the park, and determining the power consumption abnormal events in the park according to the multiple power consumption abnormal data and the corresponding locations of the park; determining the database of the distribution network according to the database of the park and the layout diagram of the distribution network, and associating multiple power supply paths, the power consumption abnormal events in the park, and the database of the distribution network, and determining multiple abnormal nodes according to the interaction of multiple power supply paths, the power consumption abnormal events in the park, and the database of the distribution network; Determining the optimization events of the distribution network according to the abnormal area of the distribution network, the real-time images corresponding to the multiple abnormal nodes, and the distribution network information of the distribution network, and the optimization events of the distribution network contain multiple distribution network optimization projects; Determining the autonomous optimization system of the distribution network based on the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the power consumption status of the park, including: obtaining multiple distribution network optimization projects, and determining the optimization duration of multiple distribution network optimization projects according to the multiple distribution network optimization projects, the corresponding personnel configuration, and the locations where the distribution network optimization projects are located; determining the priorities of multiple distribution network optimization projects according to the multiple distribution network optimization projects, the types of power consumption in the park, and the corresponding time; collecting the power consumption data of the park based on the database of the park, and determining the power consumption status of the park according to the power consumption data of the park, the types of power consumption in the park, and the load conditions of the distribution network; determining the autonomous optimization system of the distribution network through multiple trainings of the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the power consumption status of the park.

2. The power distribution network control method for a park-based power distribution network according to claim 1, wherein The determining the layout diagram of the distribution network of the park based on the park distribution map, the spatial location of the substation, and the distribution location of the conductive wires includes: Determining multiple images based on the shooting of the park by the drone, and determining the park distribution map according to the multiple images, the basic information of the park, and the corresponding urban database; Determining the spatial location of the substation according to the coordinate system corresponding to the park distribution map, the non-enterprise area in the park distribution map, and the image of the substation; Determining the distribution location of the conductive wires based on the spatial location of the substation and the direction of the current output by the substation, and determining the layout diagram of the distribution network of the park according to the interaction of the park distribution map, the spatial location of the substation, and the distribution location of the conductive wires.

3. The distribution network control method for a park-based distribution network according to claim 2, characterized in that The determining multiple power supply paths according to the layout diagram of the distribution network, the locations of the enterprises in the park, and the previous power consumption data of the enterprises includes: Determining the locations of the enterprises in the park based on the park distribution map and the layout diagram of the distribution network, and constructing multiple sub-power consumption areas according to the locations of each enterprise and the corresponding power consumption data; Determine the power supply levels of multiple sub - power - consuming areas based on the comparison of multiple sub - power - consuming areas, and perform multiple interactions on the power supply levels of multiple sub - power - consuming areas, the power supply quantities of multiple sub - power - consuming areas, and the enterprise's past power consumption data; Determine multiple power supply paths based on the multiple interactions of the power supply levels of multiple sub - power - consuming areas, the power supply quantities of multiple sub - power - consuming areas, and the enterprise's past power consumption data.

4. The distribution network control method for a park-based distribution network according to claim 1, characterized in that, Based on the multiple power supply paths, the power consumption abnormal events in the park, and the database of the distribution network, determine multiple abnormal nodes, and determine the abnormal area of the distribution network according to the multiple abnormal nodes, the park distribution map, and the actual abnormal time. It also includes: Determine the corresponding actual abnormal time based on the traceability of multiple abnormal nodes; determine the first abnormal range according to the actual abnormal time and the park distribution map, and determine the second abnormal range according to the actual abnormal time and multiple abnormal nodes; Determine the abnormal area of the distribution network based on the first abnormal range, the second abnormal range, and the park distribution map.

5. The distribution network control method for a park-based distribution network according to claim 1, wherein Determine the optimization events of the distribution network according to the abnormal area of the distribution network, the real - time images corresponding to multiple abnormal nodes, and the distribution network information of the distribution network. The optimization events of the distribution network contain multiple distribution network optimization projects, including: Obtain the abnormal area of the distribution network and perform real - time monitoring on the abnormal area of the distribution network; Determine the corresponding monitoring areas according to the locations of multiple abnormal nodes, and determine the real - time images corresponding to multiple abnormal nodes based on the real - time monitoring of each monitoring area; Determine the distribution network information of the distribution network based on the layout map of the distribution network, the model information of the distribution network, and the database of the distribution network.

6. The distribution network control method for a park-based distribution network according to claim 5, characterized in that Determine the optimization events of the distribution network according to the abnormal area of the distribution network, the real - time images corresponding to multiple abnormal nodes, and the distribution network information of the distribution network. The optimization events of the distribution network contain multiple distribution network optimization projects. It also includes: Determine multiple abnormal combinations based on the multiple interactions of the abnormal area of the distribution network, the real - time images corresponding to multiple abnormal nodes, and the distribution network information of the distribution network; Determine multiple abnormal characteristics based on the identification of multiple abnormal combinations, and determine the optimization events of the distribution network according to the multiple abnormal characteristics. The optimization events of the distribution network contain multiple distribution network optimization projects.

7. A distribution network control system for a park-based distribution network, characterized in that, The distribution network control system of the park - based distribution network is applied to the distribution network control method of the park - based distribution network as described in any one of claims 1 - 6. The distribution network control system of the park - based distribution network includes: A layout map module for determining the layout map of the park - based distribution network based on the park distribution map, the spatial position of the substation, and the distribution position of the conducting wires; A power supply path module for determining multiple power supply paths according to the layout map of the distribution network, the locations of the enterprises in the park, and the past power consumption data of the enterprises; Anomaly area module, which is used to determine multiple anomaly nodes based on multiple power supply paths, power consumption anomaly events in the park, and the database of the distribution network, and determine the anomaly area of the distribution network according to the multiple anomaly nodes, the park distribution map, and the actual anomaly time, including: collecting the power consumption data set of the park, and determining multiple power consumption anomaly data according to the power consumption data set of the park, determining the power consumption anomaly events in the park according to the multiple power consumption anomaly data and the locations of the corresponding parks; determining the database of the distribution network according to the database of the park and the layout map of the distribution network, associating multiple power supply paths, power consumption anomaly events in the park, and the database of the distribution network, and determining multiple anomaly nodes according to the interaction of the multiple power supply paths, power consumption anomaly events in the park, and the database of the distribution network; Optimization project module, which is used to determine the optimization events of the distribution network according to the anomaly area of the distribution network, the real-time images corresponding to the multiple anomaly nodes, and the distribution network information of the distribution network, and the optimization events of the distribution network contain multiple distribution network optimization projects; Independent optimization module, which is used to determine the independent optimization system of the distribution network based on the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the power consumption status of the park, including: obtaining multiple distribution network optimization projects, and determining the optimization duration of multiple distribution network optimization projects according to the multiple distribution network optimization projects, the corresponding personnel configuration, and the locations where the distribution network optimization projects are located; determining the priorities of multiple distribution network optimization projects according to the multiple distribution network optimization projects, the types of power consumption in the park, and the corresponding time; collecting the power consumption data of the park based on the database of the park, and determining the power consumption status of the park according to the power consumption data of the park, the types of power consumption in the park, and the load conditions of the distribution network; determining the independent optimization system of the distribution network through multiple trainings of the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects, and the power consumption status of the park.

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