Distribution network control method and system based on park distribution network

Abstract

The invention discloses a distribution network control method and system for a power distribution network based on a park, and relates to the technical field of distribution network control, and the method comprises the steps: determining a plurality of abnormal nodes based on a plurality of power supply paths, a power utilization abnormal event of the park, and a database of the power distribution network; and the abnormal region of the power distribution network is determined according to the plurality of abnormal nodes, the park distribution map and the actual abnormal time, so that the accuracy of the abnormal region of the power distribution network is ensured. 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 plurality of abnormal nodes and the distribution network information of the power distribution network, and the optimization event of the power distribution network comprises a plurality of power distribution network optimization items; and determining an autonomous optimization system of the power distribution network based on the optimization duration of the plurality of power distribution network optimization projects, the priority of the plurality of power distribution network optimization projects and the power utilization state of the park, introducing the autonomous optimization system of the power distribution network, and further realizing distribution network control of the power distribution network.

Description

Technical Field

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

[0002] With the development of science and technology, each park has a corresponding distribution network, and the corresponding distribution network is carried out through the distribution network to facilitate the power supply to the enterprises in the park. In the existing technology, the distribution network is detected, and the corresponding abnormal area is marked based on the abnormal node during the detection process. The abnormal area is determined only by a single dimension, which affects the accuracy of the abnormal area of ​​the distribution network and cannot achieve accurate control of the distribution network during the distribution network control process. 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 based on a park distribution network.

[0004] The embodiment of the present invention provides a distribution network control method based on a park distribution network, including: determining a layout diagram of the park distribution network based on a park distribution diagram, a spatial location of a substation, and a distribution location of a conductive line; Determine multiple power supply paths based on the layout of the distribution network, the location of enterprises in the park, and the enterprises' past power consumption data; Determine multiple abnormal nodes based on multiple power supply paths, abnormal power consumption events in the park, and the database of the distribution network, and determine the abnormal area of ​​the distribution network based on the multiple abnormal nodes, the park distribution map, and the actual abnormal time; Determine an optimization event 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, wherein the optimization event of the distribution network contains multiple distribution network optimization items; An autonomous optimization system for 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.

[0005] An embodiment of the present invention provides a distribution network control system based on a distribution network in a park, and the distribution network control system based on a distribution network in a park is applied to the distribution network control method based on a distribution network in a park, and the distribution network control system based on a distribution network in a park includes: A layout diagram module is used to determine the layout diagram of the distribution network of the park based on the park distribution diagram, the spatial location of the substation and the distribution location of the conductive line; A power supply path module is used to determine multiple power supply paths based on the layout of the distribution network, the location of enterprises in the park, and the previous power consumption data of the enterprises; The abnormal area module is used to determine multiple abnormal nodes based on multiple power supply paths, abnormal power consumption 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; An optimization project module, used to determine an optimization event of the distribution network according to an abnormal area of ​​the distribution network, real-time images corresponding to multiple abnormal nodes, and distribution network information of the distribution network, wherein the optimization event of the distribution network contains multiple distribution network optimization projects; The autonomous optimization module is used to 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.

[0006] Compared with the prior art, the present invention has the following beneficial effects: In an embodiment of the present invention, through the method in the embodiment of the present invention, the layout diagram of the distribution network of the park is determined based on the park distribution map, the spatial location of the substation and the distribution location of the conductive line; multiple power supply paths are determined according to the layout diagram of the distribution network, the location of the enterprise in the park and the previous power consumption data of the enterprise; multiple abnormal nodes are determined based on multiple power supply paths, abnormal power consumption 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, and ensures the accuracy of the abnormal area of ​​the distribution network, so as to realize the precise control of the distribution network during the distribution network control process.

[0007] Therefore, the optimization events of the distribution network are determined according to the abnormal areas 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. The autonomous 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. The autonomous optimization system of the distribution network is introduced, and the distribution network control of the distribution network is further realized, thereby ensuring the distribution accuracy of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 It is a schematic diagram of an application scenario of a distribution network control method based on a distribution network in a park in an embodiment; Figure 2 It is a flow chart of a distribution network control method based on a park distribution network in an embodiment of the present invention; Figure 3 It is a schematic diagram of the structural composition of a distribution network control system based on a park distribution network in an embodiment of the present invention. DETAILED DESCRIPTION

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

[0010] The distribution network control method based on the park distribution network provided in this application is applied to Figure 1 In the application environment shown, the computer 102 communicates with the server 104 through the network. The computer 102 is not limited to various personal computers, servers, and campus management systems, and the server 104 is implemented by an independent server or a server cluster composed of servers.

[0011] See also Figures 1 to 3 A distribution network control method based on a distribution network in a park is applied to a distribution network control scenario based on a distribution network in a park; the distribution network control method based on a distribution network in a park includes: Step S11: determining a layout diagram of the distribution network of the park based on the park distribution diagram, the spatial location of the substation, and the distribution location of the conductive line; Step S12: determining multiple power supply paths according to the layout diagram of the distribution network, the location of the enterprises in the park, and the previous power consumption data of the enterprises; Step S13: determining multiple abnormal nodes based on multiple power supply paths, abnormal power consumption events in the park, and a database of the distribution network, and determining an abnormal area of ​​the distribution network according to the multiple abnormal nodes, the park distribution map, and the actual abnormal time; Step S14: determining an optimization event 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, wherein the optimization event of the distribution network contains multiple distribution network optimization items; Step S15: determining an autonomous optimization system of the distribution network based on the optimization durations of the multiple distribution network optimization projects, the priorities of the multiple distribution network optimization projects, and the power consumption status of the park; In step S11, a layout diagram of the distribution network of the park is determined based on the park distribution diagram, the spatial location of the substation, and the distribution location of the conductive line; In the specific implementation process of the present invention, the specific steps are: S111: determining a plurality of images based on the photography of the park by the drone, and determining a park distribution map according to the plurality of images, basic information of the park, and a corresponding town database; S112: 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; S113: Determine the distribution position of the conductive line based on the spatial position of the substation and the direction of the current output by the substation, and determine the layout diagram of the distribution network of the park according to the interaction of the park distribution map, the spatial position of the substation and the distribution position of the conductive line.

[0012] In an embodiment of the present application, multiple images are determined based on the photography of the park by a drone, and a park distribution map is determined based on the multiple images, basic information of the park, and a corresponding town database. This is compatible with the overall consideration of multiple images, basic information of the park, and a corresponding town database, thereby ensuring the accuracy of the park distribution map.

[0013] At this time, use a drone to photograph the park. At the same time, plan the flight route to ensure that the drone can fully cover the park and avoid restricted flight areas; start the drone and shoot according to the planned route; the drone should maintain a safe altitude and ensure that the captured images are clear and without shaking; after the drone shooting is completed, the captured images will be transmitted to the ground control station or storage device for subsequent processing.

[0014] The collected images are preprocessed, including denoising, contrast enhancement, color correction, etc., to improve image quality; multiple images are stitched together to generate a panoramic view of the park; during the stitching process, attention should be paid to the overlapping parts of the images to ensure that the stitched images are seamlessly connected; in the stitched panorama, image recognition technology is used to extract key features of the park, such as building outlines, road directions, green belts, etc.

[0015] Comparing and integrating the extracted image features with the basic information of the park (such as CAD drawings, planning documents, geographic coordinates, etc.) will help verify the accuracy of the image features and supplement the missing information; referring to the corresponding town database to obtain the geographic information, planning standards, infrastructure layout, etc. related to the park, this information will help to further improve the park distribution map to ensure that it conforms to the actual situation and planning requirements.

[0016] Specifically, suppose there is an industrial park covering an area of ​​about 5 square kilometers, including multiple factories, warehouses, office buildings and public facilities; in order to determine the distribution map of the park, the following steps are taken: A drone with a high-resolution camera was selected, and a flight route covering the entire park was planned. Under clear weather conditions, the drone took photos along the route, collecting a total of about 50 images. The collected images were pre-processed to remove noise and enhance contrast. The images were then stitched together 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 that the stitched images were seamlessly connected. In the panoramic view, the outlines of the park's buildings, the direction of the roads, the green belts and other features can be clearly seen.

[0017] The stitched panoramic image was compared with the CAD drawings of the park to verify the accuracy of the image features. At the same time, the planning standards and infrastructure layout information in the town database were referred to to further improve the park distribution map. The final park distribution map not only includes information such as the location, shape and height of the buildings, but also marks key elements such as roads, green belts, and public facilities, providing a reliable foundation for the subsequent distribution network layout design.

[0018] Furthermore, the spatial position of the substation is determined based on the coordinate system corresponding to the park distribution map, the non-enterprise area in the park distribution map, and the image of the substation, thereby achieving accurate identification of the spatial position of the substation, so as to facilitate subsequent tracing based on the spatial position of the substation.

[0019] At this point, select a suitable geographic coordinate system for the park distribution map, such as WGS84 (the coordinate system used by the global positioning system); when selecting a coordinate system, the geographical location, scale, and subsequent application requirements of the park should be considered. In the park distribution map, identify non-enterprise areas through visual inspection or using analysis tools in GIS software. These areas include parks, green spaces, residential areas, roads, etc., which do not contain industrial facilities such as substations; mark the identified non-enterprise areas on the park distribution map, using different colors, lines, or symbols to represent them for subsequent analysis.

[0020] Extract the characteristic information of the substation from the images taken by drones or the photos of existing substations, including the building outline, transformer equipment, transmission lines, etc. of the substation; compare the extracted substation features with the park distribution map to find the matching points, which is achieved through image recognition formulas (such as template matching, feature point matching, etc.).

[0021] 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.

[0022] 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.

[0023] 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.

[0024] 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.

[0025] 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.

[0026] Consider the topographical features of the park, such as mountains, rivers, roads, etc. These factors affect the direction and layout of the conductive lines; for example, the conductive lines need to bypass obstacles or be laid along roads; according to the load demand of each area in the park, adjust the distribution of conductive lines to ensure the reliability and economy of power supply; load demand is obtained through historical electricity consumption data, future development plans and other information; ensure that the layout of conductive lines complies with national and local safety regulations.

[0027] Integrate the spatial location of the substation, the distribution location of the conductive lines, and the park distribution map to ensure that all information is aligned in a unified geographic coordinate system; use GIS software or professional electrical design software to graphically represent the integrated information and generate the park's distribution network layout map; the layout map should clearly display the substation, conductive lines, load points, and the connection relationship between them; verify the generated distribution network layout map to ensure that the position, direction, and connection relationship of all elements are accurate.

[0028] Specifically, suppose there is an industrial park in which the spatial locations 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 location of the conductive lines and generate a distribution network layout diagram of the park.

[0029] The spatial location information of substations A and B was collected, and their electrical parameters were understood; then, based on the principle that current flows from the high-voltage side to the low-voltage side, the flow direction of the conductive lines from substations A and B was preliminarily determined.

[0030] There is a green space on the north side of the park. In order to reduce damage to the environment, the direction of the conductive line was adjusted to bypass the green space. According to the future development plan of the park, sufficient conductive line paths were reserved to meet the needs of future additional loads.

[0031] The spatial locations of substations A and B, the adjusted distribution locations of conductive lines, and the park distribution map were integrated, and a distribution network layout map of the park was generated using GIS software; the layout map clearly shows the substations, conductive lines, load points, and the connections between them.

[0032] The generated layout diagram was carefully checked and adjusted to ensure that the position, direction and connection relationship of all elements were accurate; ultimately, a campus distribution network layout diagram that met the actual situation and design requirements was obtained, providing a reliable foundation for subsequent distribution network construction and operation management.

[0033] In step S12, multiple power supply paths are determined based on the layout diagram of the distribution network, the locations of enterprises in the park, and the previous power consumption data of the enterprises; In the specific implementation process of the present invention, the specific steps are: S121: Determine the locations of enterprises in the park based on the park distribution map and the layout map of the distribution network, and construct multiple sub-power consumption areas according to the locations of each enterprise and corresponding power consumption data; S122: Determine the power supply levels of the multiple power consumption sub-areas based on the comparison of the multiple power consumption sub-areas, and perform multiple interactions on the power supply levels of the multiple power consumption sub-areas, the power supply amounts of the multiple power consumption sub-areas, and the previous power consumption data of the enterprise; S123: Determine multiple power supply paths based on multiple interactions of power supply levels of multiple power consumption sub-areas, power supply amounts of multiple power consumption sub-areas, and past power consumption data of the enterprise.

[0034] In an embodiment of the present application, the locations of enterprises in the park are determined based on the park distribution map and the layout map of the distribution network, and multiple sub-power consumption areas are constructed according to the locations of each enterprise and the corresponding power consumption data, thereby achieving precise control of multiple sub-power consumption areas.

[0035] At this point, ensure that the latest campus distribution map and distribution network layout map have been obtained; the campus distribution map should contain the location information of the enterprise, while the distribution network layout map shows the location and connection relationship of power facilities such as substations and conductive lines; overlay the campus distribution map and distribution network layout map. This step is to simultaneously display the geographical distribution of the enterprise and the layout of power facilities in the same view to facilitate subsequent analysis.

[0036] On the superimposed layer, the actual location of each enterprise is marked one by one according to the information provided by the park distribution map. This involves placing point marks on the map, with each mark representing an enterprise; the accuracy of the marked location is verified through on-site inspections, verification of the registered addresses of enterprises, etc. For enterprises with unclear or controversial location information, additional investigations are required to determine their exact locations.

[0037] Collect electricity consumption data from each enterprise, including historical electricity consumption, peak electricity consumption periods, electricity load characteristics, etc. These data are obtained from the enterprise's meter records, energy management system or data provided by the power company; conduct preliminary analysis on the collected electricity consumption data to identify enterprises with large electricity consumption, large fluctuations in electricity load or special electricity needs. This information is crucial for the subsequent construction of sub-electricity consumption areas.

[0038] At the same time, based on the geographical location, electricity consumption data and layout of the distribution network of the enterprise, the park is divided into multiple sub-power consumption areas; the division should take into account the similarity of the enterprises' electricity demand, the convenience of electrical connection and the continuity of the geographical space; define attributes for each sub-power consumption area, including area name, boundary range, list of included enterprises, estimated power load, etc. These attribute information will be used for subsequent power planning and scheduling.

[0039] Specifically, suppose there is an industrial park, which includes several manufacturing companies and a data center; the task is to determine the location of these companies, and build sub-power consumption areas based on their power consumption data, obtain the distribution map of the industrial park and the layout map of the distribution network, and overlay the layers in the GIS software, so that the geographical distribution of the companies and the location of the power facilities can be seen in the same view; on the overlaid layer, the location of each company is marked one by one; for example, point marks are placed on the map to indicate the location of manufacturing company A, manufacturing company B and data center C.

[0040] The electricity consumption data of manufacturing enterprises A, B and data center C were collected. By analyzing these data, it was found that the electricity consumption of manufacturing enterprises A and B was large, and the power load fluctuated greatly. The electricity consumption of data center C was relatively stable, but it had high requirements for power supply reliability and power quality. Based on the geographical location of the enterprises, electricity consumption data and the layout of the distribution network, the industrial park was divided into two sub-power consumption areas: Area 1 (including manufacturing enterprises A and B) and Area 2 (including data center C).

[0041] Attribute information is defined for the two areas; for example, area 1 is expected to have a higher power load and needs to consider the volatility of the power load; while area 2 requires special attention to the reliability and quality of power supply.

[0042] Furthermore, the power supply levels of the multiple sub-power consumption areas are determined based on the comparison of the multiple sub-power consumption areas, and multiple interactions are performed on the power supply levels of the multiple sub-power consumption areas, the power supply amounts of the multiple sub-power consumption areas, and the previous power consumption data of the enterprise, thereby realizing multiple interactions on the power supply levels of the multiple sub-power consumption areas, the power supply amounts of the multiple sub-power consumption areas, and the previous power consumption data of the enterprise.

[0043] At this time, basic information about each sub-power consumption area is collected, including the type of enterprise, power load characteristics, importance, etc. This information will be used to evaluate the power supply demand of each area; a comparative analysis is conducted on each sub-power consumption area, taking into account factors such as the stability of power load, peak-to-valley differences, and growth potential; 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 consumption area is divided into different power supply levels; the power supply level is 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.

[0044] According to the characteristics and growth trend of power load in each sub-power consumption area, the future power supply demand is predicted; the previous power consumption data of each enterprise are sorted out, including monthly power consumption, power consumption during peak and valley periods, maximum load, etc., which will be used to analyze the power consumption behavior patterns and load characteristics of the enterprises; at the same time, the power supply level, power supply forecast and previous power consumption data are integrated to form a comprehensive data set, which will be used for subsequent multiple interactive analyses; multiple interactive analyses are conducted on the integrated data, including considering the impact of the power supply level on the power supply demand, the predictive value of previous power consumption data on future power supply demand, etc.; through this analysis, a deeper understanding of the power supply demand and characteristics of each sub-power consumption area is achieved; the analysis results are output in the form of charts, reports, etc. to facilitate subsequent decision-making and planning.

[0045] Specifically, suppose there is an industrial park that has been divided into three sub-power consumption areas based on the location of the enterprises and power consumption data: Area A (including heavy industrial enterprises), Area B (including light industrial enterprises and R&D centers) and Area C (including data centers and critical infrastructure).

[0046] After collecting information about each region, it was found that the electricity load in Region A is large and fluctuates greatly because heavy industrial enterprises require a large amount of electricity to drive equipment; the electricity load in Region B is relatively stable and has certain growth potential; Region C contains data centers and critical infrastructure that have extremely high requirements for power supply reliability and power quality.

[0047] Based on this information, area A is classified as level 2 power supply (requiring higher power supply reliability and a certain amount of redundant capacity), area B is classified as level 3 power supply (basic power supply requirements), and area C is classified as level 1 power supply (the highest level of power supply reliability and power quality).

[0048] The power demand for each region in the next few years is predicted; for example, considering the expansion plans and equipment upgrades of heavy industrial enterprises, it is predicted that the power demand in region A will continue to grow; since region B contains a research and development center, its power demand will fluctuate with the launch of new projects; the power demand in region C is relatively stable, but it needs to ensure that its high load demand can be met under any circumstances.

[0049] At the same time, the previous electricity consumption data of each enterprise was sorted out, and it was found that enterprises in area A often approached or reached their maximum load during peak electricity consumption hours, while enterprises in areas B and C showed a more stable electricity consumption behavior pattern. The power supply level, power supply forecast, and previous electricity consumption data were integrated into a data set, and multiple interactive analyses were performed using data analysis tools; the analysis results showed that area 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 hours; although the power load in area B was relatively stable, its growth potential and changes in electricity consumption behavior also needed to be considered; area C needed to always maintain the highest power supply reliability and power quality to meet the operating needs of its critical infrastructure and data centers.

[0050] Therefore, multiple power supply paths are determined based on the power supply levels of multiple sub-power consumption areas, the power supply amounts of multiple sub-power consumption areas, and multiple interactions of the enterprise's previous power consumption data, thereby improving the accuracy of the multiple power supply paths.

[0051] At this point, ensure that detailed information about the power supply level, power supply forecast, previous power consumption data, and the current status of the distribution network for each sub-power consumption area has been collected. This information is the basis for power supply route planning; integrate the above information to form a comprehensive data set. This data set should include information such as the demand characteristics of each sub-power consumption area, the layout of power facilities, and the power supply route.

[0052] According to the power supply level and power supply forecast, the main power supply path for each sub-power consumption area shall be determined; areas with 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; based on the layout of power facilities and topographic factors, the power supply paths from the substation to each sub-power consumption area shall be preliminarily planned. These paths shall be as short and direct as possible to reduce line losses and improve power supply efficiency.

[0053] Combined with the company's previous electricity consumption data, the initially planned power supply path is optimized; for example, for areas with large fluctuations in power load, consider adding backup power sources or adopting flexible power supply strategies to cope with peak power consumption; adjust the power supply path based on factors such as topography, obstacles, and urban planning; ensure that the path meets both electrical safety requirements and urban planning and environmental protection requirements.

[0054] At the same time, the optimized power supply path plan is evaluated, taking into account factors such as its economy, feasibility, reliability and environmental impact; ensuring that the plan not only meets actual needs but also has a certain degree of foresight and scalability; based on the evaluation results, the final power supply path plan is determined. This plan should list in detail the power supply path, conductor specifications, substation access points and other information of each sub-power consumption area.

[0055] Specifically, suppose there is an industrial park that has been divided into three sub-power consumption areas based on the location of the enterprises and power consumption data: Area A (heavy industrial enterprises), Area B (light industry and R&D centers) and Area C (data centers and critical infrastructure); the power supply level and power supply forecast for each area have been determined, and the previous power consumption data of the enterprises have been collected.

[0056] Detailed information on each region’s power supply level, power supply forecast, past power consumption data, and the status of the distribution network was collected and integrated into a comprehensive data set. The main power supply paths for each region were determined based on the power supply level and power supply forecast. For example, region C, which contains data centers and critical infrastructure, was classified as a primary power supply level, so it was planned to be powered directly from the main power grid to ensure power supply reliability and power quality.

[0057] Using GIS tools, we preliminarily planned the power supply paths from the substation to each area. These paths are as short and direct as possible to reduce line losses. Combined with the previous power consumption data of area A, it is found that it often approaches or reaches the maximum load during peak power consumption hours; therefore, we consider adding a backup substation near area A and using it during peak hours to cope with power shortages.

[0058] The optimized power supply path plan was evaluated, taking into account factors such as its economy, feasibility, reliability and environmental impact; based on the evaluation results, the final power supply path plan was determined. This plan lists in detail the power supply paths, wire specifications, substation access points and other information for each area, and takes into account backup power supplies and flexible power supply strategies to cope with peak power consumption and emergencies.

[0059] In step S13, multiple abnormal nodes are determined based on multiple power supply paths, abnormal power consumption events in the park, and a database of the distribution network, and an abnormal area of ​​the distribution network is determined according to the multiple abnormal nodes, the park distribution map, and the actual abnormal time; In the specific implementation process of the present invention, the specific steps are: S131: Collecting a power consumption data set of the park, determining a plurality of abnormal power consumption data according to the power consumption data set of the park, and determining an abnormal power consumption event of the park according to the plurality of abnormal power consumption data and the corresponding location of the park; S132: determining a distribution network database according to the database of the park and the layout diagram of the distribution network, and associating multiple power supply paths, abnormal power consumption events of the park, and the database of the distribution network, and determining multiple abnormal nodes according to the interaction of the multiple power supply paths, abnormal power consumption events of the park, and the database of the distribution network; S133: Determine the corresponding actual abnormal time based on the tracing 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 the multiple abnormal nodes; S134: Determine an abnormal area of ​​the distribution network based on the first abnormal range, the second abnormal range, and the park distribution map.

[0060] In an embodiment of the present application, a set of electricity consumption data of the park is collected, and a plurality of abnormal electricity consumption data are determined based on the set of electricity consumption data of the park, and the abnormal electricity consumption events of the park are determined based on the plurality of abnormal electricity consumption data and the corresponding locations of the park. This is compatible with the overall consideration of the plurality of abnormal electricity consumption data and the corresponding locations of the park, and ensures the accuracy of the abnormal electricity consumption events of the park.

[0061] At this time, the park's electricity consumption data comes from smart meters installed at various power-consuming devices or enterprise entrances. These meters can record key parameters such as current, voltage, power factor, active power, reactive power, and energy consumption in real time or periodically. The frequency of data collection depends on the specific needs of the park and the performance of the meter. It is real-time (collected once per second or minute) and periodic (such as once every hour, day, or week).

[0062] The collected electricity consumption data is subjected to anomaly detection. These formulas can identify data points that deviate significantly from normal electricity consumption patterns, i.e., abnormal electricity consumption data. The criteria for abnormal judgment include sudden surges or decreases in electricity 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 related parameters of the abnormality must be recorded.

[0063] Associate the marked abnormal data with the location information of the park (such as company name, floor, room number, etc.) to determine the specific location where the abnormality occurred; define specific abnormal power consumption events based on the type and severity of the abnormal data; for example, a surge in power consumption indicates equipment failure or illegal power consumption, and an abnormal power factor indicates insufficient reactive power compensation or load imbalance; record abnormal power consumption events in the form of logs or reports, including event type, occurrence time, location, abnormal parameters and other information for subsequent analysis and processing.

[0064] Specifically, suppose there are 10 enterprises in an industrial park, and each enterprise has installed a smart meter to monitor electricity consumption data in real time; the park manager decides to collect electricity consumption data once a day and perform anomaly detection; the park manager uses the data management system to collect electricity consumption data from the smart meters of each enterprise every day, including active power, reactive power, and power consumption.

[0065] Analyze the collected electricity consumption data; the formula detects that the electricity consumption of a certain enterprise (assuming it is enterprise A) suddenly surges on a certain day, far exceeding the historical average; mark the abnormal data, and record the time (such as the year, month, and day), location (enterprise A), and related parameters (electricity consumption) of the abnormality.

[0066] The park manager associates the marked abnormal data with the location information of Enterprise A and determines that the abnormality occurred in Enterprise A. Based on the type and severity of the abnormal data, the event is defined as an "abnormal power consumption surge event". The park manager records the event, including the event type (power consumption surge), time of occurrence, location (Enterprise A), abnormal parameters (electricity consumption), and other information, and decides to further investigate Enterprise A's electricity consumption to find out the cause of the abnormality and take corresponding measures.

[0067] Furthermore, the database of the distribution network is determined based on the database of the park and the layout diagram of the distribution network, and multiple power supply paths, abnormal power consumption events in the park, and the database of the distribution network are associated. Based on the interaction of multiple power supply paths, abnormal power consumption events in the park, and the database of the distribution network, multiple abnormal nodes are determined, thereby ensuring the accuracy of multiple abnormal nodes.

[0068] At this time, collect and integrate all electricity-related database information in the park, including but not limited to enterprise electricity consumption records, equipment information, historical fault records, etc.; use the distribution network layout map provided by the park, which details the connection relationship and location of key elements such as substations, transmission lines, switchgear, transformers, etc.; combine the layout map 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.

[0069] Based on the distribution network database, all power supply paths within the park are identified. These paths start from the substation, pass through transmission lines, switchgear and transformers, and finally reach various power users. Each power user is associated with a specific power supply path, which is based on the company's geographical location and power demand, as well as the layout of the distribution network.

[0070] Matching the abnormal power consumption events determined in S131 with the power supply paths involves analyzing the location, time and nature of the abnormal events to determine which power supply paths are affected; at the same time, updating the information of the abnormal power consumption events in the distribution network database, including the event type, occurrence time, affected enterprises and power supply paths.

[0071] Interactive analysis is performed using information from the distribution network database and data on abnormal power consumption events. This includes analyzing the impact of abnormal events on various nodes on the power supply path (such as switchgear, transmission lines, transformers, etc.); evaluating the status of each node on the power supply path to determine which nodes have failed or are abnormal due to abnormal events, based on factors such as the node's historical performance, current load conditions, and environmental conditions; and determining multiple abnormal nodes based on the results of interactive analysis and node status evaluation, which are the focus of further investigation and repair work.

[0072] Specifically, suppose that an industrial park detects an abnormal surge in electricity consumption of enterprise B in step S131; now, the park manager will perform step S132 to determine the abnormal node; The park manager integrated all power-related database information in the park and built a comprehensive distribution network database based on the distribution network layout diagram. The database contains information on key elements such as substations, transmission lines, switchgear, and transformers. Based on the distribution network database, the park manager identified all power supply paths from the substation to Enterprise B, which include specific transmission lines, switchgear, and transformers.

[0073] The park managers matched the abnormal surge in electricity consumption at Enterprise B with the power supply path; by analyzing the location, time, and nature of the abnormal event, they determined which power supply paths were affected; the park managers conducted an interactive analysis and evaluated the status of each node on the power supply path; they found that when the abnormal event occurred, the load on a certain transmission line suddenly increased and a switch device on the line overheated.

[0074] Based on this information, the park managers identified the switchgear and related transmission lines as abnormal nodes; they decided to further investigate the status of these nodes and take necessary repair measures to ensure the safety of power supply in the park.

[0075] Furthermore, the corresponding actual abnormal time is determined based on the tracing of multiple abnormal nodes; the first abnormal range is determined according to the actual abnormal time and the park distribution map, and the second abnormal range is determined according to the actual abnormal time and multiple abnormal nodes, and the first abnormal range and the second abnormal range are introduced.

[0076] At this time, check the status records of each abnormal node in the distribution network database. These records contain the real-time monitoring data of the node, historical event logs, etc.; by analyzing the timestamp in the status record, find the time point that matches the abnormal state. This time point is the actual time when the abnormal event occurred; if the abnormal state lasts for a period of time, it is necessary to determine the specific time when the abnormality starts and ends, thus forming a time range.

[0077] 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; according to the time of the abnormality and the layout of the enterprises in the park, preliminarily define an affected area, namely the first abnormal range, which is based on the physical distance and time of the spread of the abnormal event.

[0078] For the second abnormal range, the relationship between the power supply path and the abnormal nodes is deeply analyzed, especially those paths that are directly connected to or affected by the abnormal nodes; the power flow simulation software is used to simulate the flow of electricity in the distribution network when an abnormal event occurs, which helps to identify which additional areas or enterprises are affected by the change in power flow; combining the results of power supply path analysis and power flow simulation, a more precise affected area range is defined, namely the second abnormal range, which takes into account the complexity and interdependence of the power network.

[0079] Specifically, assume that in step S132, the park manager has identified two abnormal nodes: one is the switchgear S1 located near enterprise C, and the other is the transmission line L2 located near enterprise D; now, they will proceed to step S133 to determine the abnormal time and scope; The park managers checked the status records of switchgear S1 and transmission line L2 in the distribution network database; they found that between 3 and 4 p.m. on a certain day, S1 overheated and the load on L2 suddenly increased; through timestamp matching, they determined that the actual time when the abnormal event occurred was between 3:15 and 3:45 p.m.

[0080] Regarding the first abnormal range, the park managers used the park distribution map to analyze the locations of Enterprise C and Enterprise D and the layout around them; they found that both companies were located in the central area of ​​the park and were surrounded by many other companies; based on the time and layout analysis of the abnormality, they preliminarily delineated a circular area with a radius of about 500 meters centered on Enterprise C and Enterprise D as the first abnormal range.

[0081] For the second abnormal range, the park managers conducted an in-depth analysis of the relationship between the power supply path and the abnormal nodes S1 and L2; they found that both S1 and L2 were connected to the power supply path of Enterprise E, and Enterprise E was outside the first abnormal range; they used power flow simulation software to simulate the flow of electricity in the distribution network when the abnormal event occurred; 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 power supply path analysis and power flow simulation, they delineated a more precise area centered on Enterprises C, D and E, taking into account the impact of power supply paths and power flows as the second abnormal range. This range is larger than the first abnormal range and includes more affected areas and enterprises.

[0082] Therefore, the abnormal area of ​​the distribution network is determined based on the first abnormal range, the second abnormal range and the park distribution map, which is compatible with the overall consideration of multiple abnormal nodes, park distribution maps and actual abnormal time, ensuring the accuracy of the abnormal area of ​​the distribution network, so as to achieve precise management and control of the distribution network during the distribution network control process.

[0083] At this time, the data of the first abnormal range and the second abnormal range are summarized, including information such as range boundaries, affected enterprises or regions, and abnormal node locations; the similarities and differences between the first abnormal range and the second abnormal range are compared and analyzed, especially the overlapping parts and extended areas between them, which helps to understand the breadth and depth of the impact of abnormal events on the distribution network.

[0084] The integrated anomaly range information is matched with the geographical distribution map of the park to ensure that the demarcation of the anomaly area is consistent with the actual layout of the park; during the analysis process, environmental factors within the park are considered, such as building layout, road network, green belts, etc., which affect the spread and impact range of abnormal events.

[0085] Furthermore, based on the integrated abnormal range information and the park distribution map, a comprehensive judgment is made to determine the area in the distribution network that is truly affected by the abnormal event. This area should cover all affected lines, equipment, enterprises and regions; the boundaries of the abnormal area are clarified to ensure that the boundary is neither too broad nor too narrow, so that subsequent investigations, repairs and preventive measures can be accurately implemented. At the same time, the identified abnormal area is recorded in detail in the form of charts, text, etc., including information such as regional boundaries, lists of affected enterprises or regions, and locations of abnormal nodes; a complete report is compiled to outline the discovery, analysis, and determination process of the abnormal event, as well as the specific information of the abnormal area. This report will serve as an important basis for subsequent investigations and repairs.

[0086] Specifically, it is assumed that in step S133, the park managers have determined the first abnormal range and the second abnormal range; now, they will proceed to step S134 to determine the abnormal area of ​​the distribution network.

[0087] The park managers summarized the data of the first anomaly range (a circular area with a radius of about 500 meters centered on enterprises C and D) and the second anomaly range (a more precise area centered on enterprises C, D and E that takes into account the power supply path and power flow); they compared and analyzed the similarities and differences between the two ranges and found that the second anomaly range expanded a certain distance to the northeast on the basis of the first anomaly range and included enterprise E.

[0088] The park managers matched the integrated anomaly range information with the park's geographical distribution map; they found that the abnormal area was mainly located in the central and eastern part of the park, and was surrounded by several main power supply routes and important enterprises; during the analysis process, they considered factors such as the building layout, road network and green belts in the park, which had a certain hindering or guiding effect on the spread and impact range of abnormal events.

[0089] Based on the integrated abnormal range information and the park distribution map, the park managers made a comprehensive judgment and determined the area in the distribution network that was actually affected by the abnormal event. This area included Enterprise C, Enterprise D, Enterprise E, and the power supply paths and transformers and other equipment around them. They clarified the boundaries of the abnormal area to ensure that the boundaries were neither too broad nor too narrow. The boundaries were defined taking into account the maximum distance of abnormal event propagation and the interdependence of the power network.

[0090] The park managers recorded the identified abnormal areas in detail in the form of charts and text, and compiled a complete report; the report outlines the discovery, analysis, and identification process of the abnormal events, as well as specific information about the abnormal areas, including boundaries, lists of affected companies or areas, locations of abnormal nodes, etc. This report will serve as an important basis for subsequent investigations and repairs, helping park managers to accurately implement repair measures and prevent similar incidents from happening again.

[0091] In step S14, an optimization event of the distribution network is 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, and the optimization event of the distribution network contains multiple distribution network optimization items; In the specific implementation process of the present invention, the specific steps are: S141: Acquire an abnormal area of ​​the distribution network, and perform real-time monitoring on the abnormal area of ​​the distribution network; S142: determining corresponding monitoring areas according to the locations of the multiple abnormal nodes, and determining real-time images corresponding to the multiple abnormal nodes based on real-time monitoring of each monitoring area; 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; S144: determining a plurality of abnormal combinations according to multiple interactions of abnormal areas of the distribution network, real-time images corresponding to a plurality of abnormal nodes, and distribution network information of the distribution network; S145: Determine a plurality of abnormal features based on the identification of a plurality of abnormal combinations, and determine an optimization event of the distribution network based on the plurality of abnormal features, wherein the optimization event of the distribution network includes a plurality of distribution network optimization items.

[0092] In an embodiment of the present application, an abnormal area of ​​a distribution network is obtained, and the abnormal area of ​​the distribution network is monitored in real time; a corresponding monitoring area is determined according to the locations of a plurality of abnormal nodes, and real-time images corresponding to the plurality of abnormal nodes are determined based on real-time monitoring of each monitoring area, and real-time images corresponding to the plurality of abnormal nodes are introduced.

[0093] At this time, abnormal areas of the distribution network are obtained, which contain faulty equipment, overloaded lines or potential safety hazards; the information of the abnormal areas includes the geographical location, the equipment and lines involved, and the initial judgment of the abnormal type.

[0094] After determining the abnormal area, the park manager needs to deploy real-time monitoring equipment, such as cameras, temperature sensors, current and voltage monitors, etc., to collect data from the area in real time; the monitoring equipment should cover the key nodes in the abnormal area to ensure that any abnormal changes can be captured; the real-time monitoring data is transmitted to the central monitoring center through the communication network for management personnel to analyze and make decisions.

[0095] The central monitoring center collects data from various monitoring devices and conducts real-time analysis; the analysis content includes current and voltage fluctuations, temperature changes, equipment operating status, etc. Through data analysis, managers can promptly discover abnormal trends or potential failures, providing a basis for taking preventive measures.

[0096] After determining the abnormal area, the park manager needs to further locate multiple abnormal nodes in the area, which are fault points, overload points or potential danger points; the location of abnormal nodes is achieved through on-site investigation, equipment status monitoring or data analysis.

[0097] Based on the location of 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 abnormal nodes and the on-site environment.

[0098] Cameras or other image acquisition devices are deployed in the monitoring area to obtain real-time images of abnormal nodes; real-time images are transmitted to the central monitoring center through the communication network for management personnel to conduct visual analysis and judgment; image acquisition equipment should have high-definition, night vision, anti-shake and other functions to ensure image quality and clarity.

[0099] 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, thereby ensuring the accuracy of the distribution network information of the distribution network.

[0100] At this time, the physical layout information of the distribution network is obtained based on the layout diagram of the distribution network, including line direction, equipment location, switch sites, 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 impact range of faults.

[0101] The model information of the distribution network is used to understand the models, specifications and performance parameters of the equipment used in the distribution network; the model information of the distribution network plays a key role in evaluating the status of equipment, predicting failure trends, and formulating maintenance plans. The database provides a comprehensive view of the operation of the distribution network, which helps to identify potential problems and optimize operation strategies.

[0102] For the distribution network database, obtain the historical data, operating status and fault records of the distribution network; the database includes SCADA (supervisory control and data acquisition) system, CMS (asset management system), fault recording system, etc. Integrate the collected layout diagram, model information and database data into a unified platform or system and analyze them to generate detailed information reports on the distribution network, including equipment list, line parameters, historical fault statistics, etc.

[0103] Specifically, suppose a fault occurs in the distribution network of an industrial park, resulting in power outages in some areas; the park manager decides 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 exports a layout map of the distribution network from the GIS system, which shows in detail the line direction, transformer location, switch station and other information in the park; by consulting the equipment purchase contract and equipment labels, the park manager obtains the model information of all key equipment in the fault area, including transformer model, switch cabinet model, cable specifications, etc.

[0104] 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 obtained from the CMS system. The park manager used a special 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 overload of an aging transformer. The software also provided a simulation diagram of the fault impact range, showing which areas will be affected by the power outage. At the same time, based on this information, the park manager quickly formulated a recovery plan, including dispatching spare transformers, adjusting load distribution, and arranging maintenance teams for on-site repairs. 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.

[0105] Furthermore, multiple abnormal combinations are determined based on the abnormal areas of the distribution network, real-time images corresponding to multiple abnormal nodes, and multiple interactions of distribution network information of the distribution network, thereby achieving precise control of multiple abnormal combinations and ensuring the diversity of multiple abnormal combinations.

[0106] At this time, the abnormal area information of the distribution network is obtained from the previous steps (such as S141), including the geographical location, the equipment and lines involved, etc.; real-time images of multiple abnormal nodes are obtained from monitoring equipment (such as cameras), and these images reflect the current status of the abnormal nodes; based on the layout diagram, model information and database of the distribution network (as described in step S143), detailed distribution network information is obtained, including equipment specifications, line parameters, historical fault records, etc.

[0107] The abnormal area information is associated with the real-time image to analyze the specific location, state change and failure mode of the abnormal node in the abnormal area; the distribution network information is used to identify the equipment model, line parameters and historical fault records related to the abnormal node, and analyze the impact of these factors on the abnormal node status; based on the above analysis, multiple abnormal combinations are determined; each abnormal combination contains a group of related abnormal nodes and the relationship between them, which is based on geographical location, equipment type, failure mode, etc. Optionally, the abnormal combination is compared with the historical fault records and maintenance records of the distribution network to further confirm its reliability and practical significance.

[0108] Specifically, suppose that in a 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; Abnormal area A includes an overloaded transformer T1 and a cable L1 with abnormally high temperature; abnormal area B includes 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 overheating image of transformer T1, the infrared thermal image of cable L1, the tripping indication of circuit breaker CB2, and the current waveform of line L2.

[0109] 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 reason statistics of circuit breaker CB2, and the line parameters and load conditions of line L2.

[0110] The real-time images of transformer T1 and cable L1 in abnormal area A were correlated with the distribution network information and analyzed, and it was found that the overload of transformer T1 was caused by the load imbalance caused by the abnormal increase in the temperature of cable L1; the real-time images of circuit breaker CB2 and line L2 in abnormal area B were matched with the distribution network information and analyzed, and it was found that the frequent tripping of circuit breaker CB2 was due to the overcurrent protection action caused by the large current fluctuation of line L2; based on the above analysis, two abnormal combinations were formed: combination 1 (transformer T1+cable L1) and combination 2 (circuit breaker CB2+line L2).

[0111] Therefore, multiple abnormal features are determined based on the identification of multiple abnormal combinations, and optimization events of the distribution network are determined based on the multiple abnormal features. The optimization events of the distribution network contain multiple distribution network optimization projects. The optimization events of the distribution network are introduced to perform orderly optimization on multiple distribution network optimization projects.

[0112] At this time, based on the multiple abnormal combinations determined in step S144, the abnormal nodes in each combination and the relationship between them are further analyzed to extract key abnormal features; abnormal features include current overload, voltage abnormality, equipment overheating, line aging, frequent tripping, etc. These features reflect specific problems and potential risks in the distribution network; each abnormal feature is described in detail, including its location, impact range, severity, cause, etc.

[0113] Based on the identified abnormal features, determine the goals of distribution network optimization events, which include improving power supply reliability, reducing failure rates, optimizing load distribution, and improving equipment performance; formulate specific optimization strategies based on the optimization goals, which involve equipment replacement, line modification, load adjustment, preventive maintenance, etc.; break down the optimization strategies into specific optimization projects; each project should clearly define the responsible department, execution time, required resources, etc.

[0114] In an example of this application, the abnormal combination and abnormal feature matching table:

[0115] Abnormal features and optimization event matching table:

[0116] Optimize event determination: For combination 1: Implement load adjustment to reduce transformer overload and replace aging cables to address temperature anomalies.

[0117] For combination 2: Check and repair circuit breaker faults to reduce frequent tripping, strengthen monitoring of line L2, and consider line modification or upgrading to address current fluctuations.

[0118] In step S15, an autonomous optimization system of the distribution network is determined based on the optimization durations of the multiple distribution network optimization projects, the priorities of the multiple distribution network optimization projects, and the power consumption status of the park; In the specific implementation process of the present invention, the specific steps are: S151: Acquire multiple distribution network optimization projects, and determine the optimization duration of the multiple distribution network optimization projects according to the multiple distribution network optimization projects, corresponding personnel configurations, and locations of the distribution network optimization projects; S152: Determine priorities of the plurality of distribution network optimization projects according to the plurality of distribution network optimization projects, the types of electricity consumption in the park, and corresponding time; S153: 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 type of power consumption of the park, and the load of the distribution network; S154: Determine the autonomous optimization system of the distribution network according to the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects and multiple trainings of the power consumption status of the park.

[0119] In an embodiment of the present application, multiple distribution network optimization projects are obtained, and the optimization durations of the multiple distribution network optimization projects are determined based on the multiple distribution network optimization projects, corresponding personnel configurations, and the locations of the distribution network optimization projects, thereby ensuring the accuracy of the optimization durations of the multiple distribution network optimization projects.

[0120] At this point, a list of distribution network optimization projects is obtained, including equipment replacement, line transformation, load adjustment, energy efficiency improvement, etc. The specific content, goals, required materials and tools of each distribution network optimization project are analyzed in detail; the complexity and technical difficulty of the project, as well as the risks and challenges encountered, are evaluated.

[0121] Determine the type, number and skill level of personnel required for each project; analyze the capabilities and resources of the existing team, including technical experts, construction personnel, 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 the project implementation; assess the potential impact of the project on the surrounding environment (such as transportation, 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 duration of the project preparation phase, construction phase and acceptance phase.

[0122] Specifically, the industrial park plans to optimize the distribution network, including the following two projects: Project A: Replace old transformers to improve power supply reliability and energy efficiency; Project B: Transform low-voltage lines in the park to reduce line losses and improve power supply quality; Detailed information on Project A and Project B was obtained during the planning stage. Project A involves transformer selection, procurement, installation and commissioning, which is technically difficult. Project B requires excavation along the line, laying of new lines, installation of new equipment and commissioning, which requires large construction workload and coordination of multiple departments. Project A requires electrical engineers, construction workers and commissioning workers, a total of about 10 people; Project B requires line workers, electrical installers, safety supervisors, etc., a total of about 20 people. Considering the capabilities of the internal team of the park, it was decided to outsource some of the construction tasks.

[0123] The transformer of Project A is located in the center of the park, with heavy traffic in the surrounding area, so a detailed traffic diversion plan needs to be formulated; Project B involves line reconstruction in multiple areas, and it is necessary to coordinate the production arrangements of enterprises in the park to reduce the impact of construction on production.

[0124] Project A is expected to take three months, including a one-month preparation phase (selection and procurement), a one-month construction phase and a one-month commissioning and acceptance phase. Project B is expected to take six months because the construction volume is large and needs to be carried out in stages, including a two-month preparation phase, a three-month construction phase and a one-month commissioning and acceptance phase. Taking into account delays and unforeseen problems, a one-month margin is reserved for each project.

[0125] Furthermore, the priorities of multiple distribution network optimization projects are determined according to the 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 are introduced, and the orderly arrangement of multiple distribution network optimization projects is achieved.

[0126] At this point, review the list of distribution network optimization projects obtained from step S151, and gain an in-depth understanding of the goals, content, and expected benefits of each project; evaluate the urgency and importance of each project, and consider its impact on the power supply stability, energy efficiency, safety, and other aspects of the park.

[0127] Identify the main types of electricity consumption in the park, such as industrial electricity, commercial electricity, residential electricity, etc.; analyze the needs 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 and valley electricity prices.

[0128] Evaluate the feasibility and effectiveness of each optimization project in different time periods (such as seasons, weekdays and weekends, daytime and nighttime); consider the fluctuation of the power load in the park and select the time period with the least impact on power consumption for project construction; formulate a set of priority sorting principles based on the urgency, importance, type of power demand and time factors of the project, which include: first solve the projects that affect the stability of power supply, then consider energy efficiency improvement projects; give priority to construction during the low power consumption period to reduce the impact on the power consumption of the park, etc. Furthermore, score or sort each optimization project according to the formulated sorting principles; determine the priority order of each project to provide a basis for subsequent project management and resource scheduling.

[0129] Specifically, an industrial park plans to implement the following three distribution network optimization projects: Project A: Replace old high-voltage cables in the park to improve power supply stability and safety; Project A is urgent and important because old cables pose safety hazards and affect power supply stability; Project B: Install a smart meter system to achieve real-time monitoring of electricity consumption data and energy efficiency management; Project B is more important but less urgent because the smart meter system takes a long time to plan and deploy; Project C: Carry out energy-saving transformation of the lighting system in the park to reduce energy consumption and operating costs; Project C has a positive effect on improving energy efficiency, but is not urgent and will be carried out after other projects are completed.

[0130] The park mainly uses industrial electricity, which has strict requirements on power supply stability and continuity; commercial electricity accounts for a smaller proportion, but is sensitive to peak and valley electricity prices; at the same time, considering the continuity demand for industrial electricity, construction is avoided during peak production periods; the installation of smart meter systems is carried out during non-peak periods to reduce interference with the park's electricity consumption.

[0131] Therefore, projects that affect power supply stability and safety (project A) should be addressed first, and then energy efficiency improvement and cost savings projects (projects B and C) should be considered; construction should be prioritized during periods of low electricity consumption or off-peak production periods.

[0132] Project A was identified as the highest priority because it is urgent and important and has a direct impact on power supply stability and security; Project B was 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 was identified as the lowest priority because the energy-saving transformation, although beneficial, is not urgent and will be carried out after the completion of other projects.

[0133] Furthermore, the park's electricity consumption data is collected based on the park's database, and the park's electricity consumption status is determined based on the park's electricity consumption data, the park's electricity consumption type, and the load of the distribution network, thereby ensuring the accuracy of the park's electricity consumption status.

[0134] 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 industry, commerce, and residents), power factor, voltage and current data, etc.; ensure the accuracy and completeness of the data, and perform necessary data cleaning and preprocessing.

[0135] Conduct statistical analysis on the collected electricity consumption data to identify electricity consumption trends, peak and valley periods, abnormal electricity consumption behaviors, etc.; calculate key indicators such as average daily electricity consumption, maximum load, load rate, energy efficiency ratio, etc. to evaluate the power efficiency and load characteristics of the park.

[0136] Analyze the characteristics and patterns of different electricity demands according to the types of electricity consumption in the park (such as industrial, commercial, and residential); industrial electricity consumption is characterized by high load and continuity, and it is necessary to pay attention to power supply stability and energy efficiency; commercial electricity consumption is sensitive to peak and valley electricity prices, and it is necessary to optimize electricity consumption strategies; residential electricity consumption is decentralized, and it is necessary to pay attention to electricity safety and comfort.

[0137] 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 and potential safety hazards; consider the growth trend of future electricity demand, 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 power efficiency, load characteristics, power safety and other aspects.

[0138] Specifically, an industrial park plans to evaluate its electricity usage status in order to develop targeted optimization strategies; Electricity consumption data for the past month were collected from the smart meters and energy management system in the park, including total electricity consumption, industrial electricity consumption, commercial electricity consumption, residential electricity consumption, and voltage and current data.

[0139] Through statistical analysis, it was found that the electricity consumption in industrial parks on weekdays is significantly higher than on weekends, and there are obvious peak and valley periods; industrial electricity consumption dominates the peak period during the day, while commercial and residential electricity consumption increases at night and on weekends; the average daily electricity consumption, maximum load, load rate and other indicators were calculated, and it was found that the load rate was low, and there was a problem of low electricity efficiency.

[0140] 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 and valley electricity prices, and it is necessary to optimize electricity consumption strategies to reduce costs; residential electricity consumption focuses on electricity safety and comfort.

[0141] The real-time load of the distribution network was monitored, and it was found that some lines were overloaded and the transformer load rate was unbalanced. Taking into account the power demand of future industrial expansion and new projects, the carrying capacity and expansion needs of the distribution network were evaluated. Based on the above analysis, the current power consumption status of the park was determined as follows: low power efficiency, unbalanced load, overload safety hazards, and future expansion needs. Existing problems and challenges were identified, including improving power efficiency, optimizing load distribution, strengthening distribution network safety management, and planning expansion plans.

[0142] Therefore, the autonomous optimization system of the distribution network was determined based on the optimization duration of multiple distribution network optimization projects, the priorities of multiple distribution network optimization projects and multiple trainings on the power consumption status of the park. The autonomous optimization system of the distribution network was introduced, and the distribution network control of the distribution network was further realized, ensuring the distribution accuracy of the distribution network.

[0143] At this time, the optimization duration and priority information of multiple distribution network optimization projects obtained from steps S151 and S152 are summarized to ensure that key data such as the optimization duration, required resources, and expected benefits of each project are accurate.

[0144] Review the campus power consumption status data obtained from step S153, including the evaluation results of power efficiency, load characteristics, power safety, etc.; analyze the potential connection 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 sequence and strategy of distribution network optimization projects; the framework should be able to monitor the campus power consumption status in real time or regularly, and automatically adjust the priority and execution plan of the optimization project according to changes in power demand.

[0145] The autonomous optimization system is trained multiple times using historical data and simulation scenarios to verify its decision-making ability and optimization effect. During the training process, the system's formulas, models and parameters are continuously adjusted and optimized to improve their accuracy and adaptability. The impact of factors such as different types of electricity consumption, load characteristics, and seasonal changes on optimization decisions are considered to ensure that the system can make reasonable decisions in various situations.

[0146] Deploy the autonomous optimization system in the actual environment and continuously monitor its operation and optimization effects; collect feedback data, 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.

[0147] Specifically, an industrial park plans to establish an autonomously optimized distribution network management system; it summarizes information on multiple distribution network optimization projects within the park, including replacement of obsolete equipment, line transformation, energy efficiency improvement and other projects; it assigns priority to each project based on the urgency and importance of the project, and estimates the optimization time and required resources.

[0148] The park's electricity consumption data for the past year was reviewed, and problems such as inefficient electricity use and unbalanced load were found. The potential connection between these problems and optimization projects was analyzed, and opportunities to improve electricity efficiency by optimizing equipment configuration, adjusting load distribution, etc. were identified.

[0149] An autonomous optimization system framework based on big data and artificial intelligence technologies was designed; the framework can monitor the power consumption status of the park in real time, and automatically adjust the priority and execution plan of the optimization projects according to changes in power demand; for example, when a line is detected to be overloaded, the system automatically adjusts the load distribution or gives priority to the optimization projects related to the line.

[0150] The autonomous optimization system was trained multiple times using historical data and simulation scenarios to verify its decision-making ability and optimization effects. During the training process, the system's formulas, models, and parameters were continuously adjusted and optimized to improve their accuracy and adaptability. The impact of factors such as different types of electricity consumption, load characteristics, and seasonal changes on optimization decisions were considered to ensure that the system can make reasonable decisions in various situations.

[0151] An autonomous optimization system was actually deployed in the park, and its operation and optimization effects were continuously monitored. By collecting feedback data, necessary adjustments and optimizations were made to the system to ensure its long-term stable operation. After several months of operation, the park's electricity efficiency has been significantly improved, load distribution has become more balanced, and overload has no longer occurred. At the same time, the execution of optimization projects has also become more orderly and efficient, reducing operation and maintenance costs.

[0152] In summary, the industrial park has successfully established an autonomous optimization distribution network management system through the steps of integrating optimization project information, analyzing the park's power consumption status data, designing an autonomous optimization system framework, multiple training and optimization, and implementation and verification. The system can automatically adjust the priority and execution plan of optimization projects according to changes in the park's power demand, improve power efficiency and load distribution balance, reduce operation and maintenance costs, and provide strong support for the sustainable development of the park. In one embodiment of the present application, an optimization matching table is constructed to associate each distribution network optimization project with its optimization duration, priority, and power consumption status of the park; for example:

[0153] According to the real-time power consumption status of the park, such as whether it is currently in a high-load period, whether there is low energy efficiency, etc., select projects that match the current status from the matching table; for example, if the current park is in a high-load period and has low energy efficiency, select Project A and Project B.

[0154] Next, a preliminary optimization plan is developed based on the priority and optimization duration of the project; for example, project A with the highest priority and short optimization duration is executed first to quickly alleviate the high load problem; then project B is executed to improve energy efficiency. As the power consumption status of the park changes, such as load reduction or energy efficiency improvement, the optimization plan needs to be dynamically adjusted, which is achieved by real-time monitoring of power consumption data and updating the matching table.

[0155] See also Figure 3 , Figure 3 It is a schematic diagram of the structural composition of a distribution network control system based on a park distribution network in an embodiment of the present invention; like Figure 3 As shown, the distribution network control system based on the park distribution network includes: A layout diagram module 21 is used to determine a layout diagram of a distribution network of a park based on a park distribution diagram, spatial locations of substations, and distribution locations of conductive lines; The power supply path module 22 is used to determine multiple power supply paths according to the layout diagram of the distribution network, the location of the enterprises in the park and the previous power consumption data of the enterprises; The abnormal area module 23 is used to determine multiple abnormal nodes based on multiple power supply paths, abnormal power consumption 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; An optimization project module 24 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 the multiple abnormal nodes, and the distribution network information of the distribution network, wherein the optimization event of the distribution network contains multiple distribution network optimization projects; The autonomous optimization module 25 is used to 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.

[0156] The technical features of the above embodiments are arbitrarily combined. In order to make the description concise, not all combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

Claims

1. A distribution network control method based on a park distribution network, characterized in that: include: Determine the layout 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; Determine multiple power supply paths based on the layout of the distribution network, the location of enterprises in the park, and the enterprises' past power consumption data; Determine multiple abnormal nodes based on multiple power supply paths, abnormal power consumption events in the park, and the database of the distribution network, and determine the abnormal area of ​​the distribution network based on the multiple abnormal nodes, the park distribution map, and the actual abnormal time; Determine an optimization event 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, wherein the optimization event of the distribution network contains multiple distribution network optimization items; An autonomous optimization system for 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.

2. The distribution network control method based on the park distribution network according to claim 1 is characterized in that: The method of determining the layout diagram of the distribution network of the park based on the park distribution diagram, the spatial location of the substation and the distribution location of the conductive line includes: Determine multiple images based on the drone's photography of the park, and determine a park distribution map based on the multiple images, basic information of the park, and a corresponding town database; Determine the spatial location of the substation based on the coordinate system corresponding to the park distribution map, the non-enterprise area in the park distribution map, and the image of the substation; The distribution position of the conductive line 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 line.

3. The distribution network control method based on the park distribution network according to claim 2 is characterized in that: Determining multiple power supply paths according to the layout diagram of the distribution network, the location of the enterprises in the park, and the previous power consumption data of the enterprises includes: Determine the location of enterprises in the park based on the park distribution map and the layout map of the distribution network, and construct multiple sub-power consumption areas based on the location of each enterprise and the corresponding power consumption data; Determine the power supply levels of the multiple power consumption sub-areas based on the comparison of the multiple power consumption sub-areas, and perform multiple interactions on the power supply levels of the multiple power consumption sub-areas, the power supply amounts of the multiple power consumption sub-areas, and the previous power consumption data of the enterprise; A plurality of power supply paths are determined based on the power supply levels of the plurality of sub-power consumption areas, the power supply amounts of the plurality of sub-power consumption areas, and multiple interactions of the enterprise's past power consumption data.

4. The distribution network control method based on the park distribution network according to claim 1, characterized in that: The method of determining a plurality of abnormal nodes based on a plurality of power supply paths, abnormal power consumption events in the park, and a database of the distribution network, and determining an abnormal area of ​​the distribution network according to the plurality of abnormal nodes, the park distribution map, and the actual abnormal time, includes: Collecting a set of power consumption data of the park, determining a plurality of abnormal power consumption data according to the set of power consumption data of the park, and determining an abnormal power consumption event of the park according to the plurality of abnormal power consumption data and the location of the corresponding park; The distribution network database is determined based on the park's database and the layout diagram of the distribution network, and multiple power supply paths, abnormal power consumption events in the park, and the distribution network database are associated. Multiple abnormal nodes are determined based on the interaction of multiple power supply paths, abnormal power consumption events in the park, and the distribution network database.

5. The distribution network control method based on the park distribution network according to claim 4 is characterized in that: The method further includes determining a plurality of abnormal nodes based on a plurality of power supply paths, abnormal power consumption events in the park, and a database of the distribution network, and determining an abnormal area of ​​the distribution network according to the plurality of abnormal nodes, the park distribution map, and the actual abnormal time: Determine the corresponding actual abnormal time based on the tracing of multiple abnormal nodes; determine the first abnormal range based on the actual abnormal time and the park distribution map, and determine the second abnormal range based on the actual abnormal time and multiple abnormal nodes; An abnormal area of ​​the distribution network is determined based on the first abnormal range, the second abnormal range, and the park distribution map.

6. The distribution network control method based on the park distribution network according to claim 1, characterized in that: The optimization event of the distribution network is 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 event of the distribution network contains multiple distribution network optimization items, including: Obtain abnormal areas of the distribution network and monitor the abnormal areas of the distribution network in real time; Determine corresponding monitoring areas according to the locations of the multiple abnormal nodes, and determine real-time images corresponding to the multiple abnormal nodes based on real-time monitoring of each monitoring area; 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.

7. The distribution network control method based on the park distribution network according to claim 6, characterized in that: The optimization event of the distribution network is 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 event of the distribution network contains multiple distribution network optimization items, and also includes: Determine multiple abnormal combinations according to the abnormal area of ​​the distribution network, the real-time images corresponding to the multiple abnormal nodes, and the multiple interactions of the distribution network information of the distribution network; A plurality of abnormal features are determined based on the identification of a plurality of abnormal combinations, and an optimization event of the distribution network is determined based on the plurality of abnormal features. The optimization event of the distribution network contains a plurality of distribution network optimization items.

8. The distribution network control method based on the park distribution network according to claim 1, characterized in that: The autonomous optimization system for determining 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 includes: Acquire multiple distribution network optimization projects, and determine the optimization durations of the multiple distribution network optimization projects according to the multiple distribution network optimization projects, corresponding personnel configurations, and locations of the distribution network optimization projects; Priorities of multiple distribution network optimization projects are determined based on the multiple distribution network optimization projects, the types of electricity consumption in the park, and the corresponding time.

9. The distribution network control method based on the park distribution network according to claim 8, characterized in that: The autonomous optimization system for determining 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 also includes: 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 power consumption data of the park, the type of power consumption of the park, and the load of the distribution network; The autonomous optimization system of the distribution network is determined based on 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.

10. A distribution network control system based on a park distribution network, characterized in that: The distribution network control system based on the distribution network of the park is applied to the distribution network control method based on the distribution network of the park as claimed in any one of claims 1 to 9, and the distribution network control system based on the distribution network of the park includes: A layout diagram module is used to determine the layout diagram of the distribution network of the park based on the park distribution diagram, the spatial location of the substation and the distribution location of the conductive line; A power supply path module is used to determine multiple power supply paths based on the layout of the distribution network, the location of enterprises in the park, and the previous power consumption data of the enterprises; The abnormal area module is used to determine multiple abnormal nodes based on multiple power supply paths, abnormal power consumption 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; An optimization project module, used to determine an optimization event of the distribution network according to an abnormal area of ​​the distribution network, real-time images corresponding to multiple abnormal nodes, and distribution network information of the distribution network, wherein the optimization event of the distribution network contains multiple distribution network optimization projects; The autonomous optimization module is used to 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.

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