Modeling method and system for multi-level power supply protection equipment and commercial power

Abstract

The invention relates to the technical field of visual management of power supply protection equipment, and provides a modeling method and system for multi-level power supply protection equipment and commercial power, and the method comprises the steps: recognizing the load level of each intelligent electric meter according to the power consumption and power consumption time in power consumption information; clustering is carried out according to the load level corresponding to each intelligent electric meter, and the target area is divided into a plurality of sub-areas; judging a first power supply relationship between the power supply equipment and the sub-region based on a preset strategy; acquiring position information of a mains supply line and a second power supply relationship with each sub-region according to the power supply network diagram; according to the two power supply relationships, establishing a connection relationship among the sub-regions, the mains supply and the power supply guaranteeing equipment; and superposing the connection relationship and the position information of the power supply protection equipment, the sub-regions and the commercial power line to map information of the target region to generate a target model. The power supply condition of the multi-level power supply protection equipment is automatically obtained, and data support is provided for power managers by displaying the power supply condition on the map information.

Description

Technical Field

[0001] The present application relates to the technical field of visualized management of power supply guarantee equipment, and in particular to a modeling method and system for multi-level power supply guarantee equipment and city power. Background Art

[0002] The contents of this section merely provide background information related to the present application and may not constitute prior art.

[0003] In the current grid control model and power supply diagram design, there is an important problem: the power supply relationship of the power supply equipment is not clearly marked. This makes it difficult to accurately determine the actual power supply area of ​​the power supply equipment and its relationship with the entire grid during grid operation management and fault handling, thus affecting the stability and reliability of the grid.

[0004] Specifically, the existing power grid control model mainly focuses on the overall operation and dispatch of the power grid, but for specific power supply equipment, such as backup power supplies and emergency generators, their power supply relationships and power supply areas are often not modeled and identified in detail. At the same time, these key information are often ignored in the power supply diagram, making it difficult for operation and maintenance personnel to quickly determine which areas are powered by specific power supply equipment when facing power grid failures or emergencies, making it impossible to carry out effective dispatch and fault recovery.

[0005] In the prior art, a Chinese patent with the announcement number CN101951016B discloses an adaptive modeling and control method for automatic switching of backup power supply based on wide-area information, including establishing a multi-value mapping from a fault trip power supply set to a backup automatic switching mode set, performing action logic operation and control of the backup automatic switching, executing regional fault discrimination measures, executing a backup power supply overload control strategy pre-decision, and online matching search control strategy. Through adaptive modeling and pre-decision, the backup automatic switching mode and overload shedding control strategy are optimized to ensure safe and stable operation of the system after the backup power supply is switched on, and to achieve wide-area load restoration power supply.

[0006] However, the defect of the existing technology is that it is mainly applicable to known and small-scale power supply equipment control scenarios, such as inside a single hospital. Faced with the power supply system of the entire city, the limitations of this method are highlighted. Because the power supply equipment in the city is usually independently set up and the number is huge, in order to fully understand the power supply situation of these equipment, the traditional manual statistical method is not only time-consuming and labor-intensive, but also inefficient. In view of this situation, there is an urgent need for a modeling method and system for multi-level power supply equipment and city power. Summary of the invention

[0007] In order to solve the above technical problems, the purpose of this application is to provide a modeling method and system for multi-level power supply equipment and city power. By analyzing the map information of the target area, the power supply network diagram, the location information of the power supply equipment in the target area, the equipment information of the power supply equipment, and the location information and power consumption information of all smart meters, the relationship and connection between the multi-level power supply equipment and the city power can be automatically obtained in the target area. At the same time, by integrating multi-source data and displaying it on the map information, a refined description of the power supply management of the target area is achieved, providing accurate decision support for power managers.

[0008] The purpose of this application is achieved through the following technical solutions:

[0009] In a first aspect, the present invention provides a modeling method for multi-level power supply equipment and city power, comprising:

[0010] S101, obtaining map information and a power supply network diagram of a target area, obtaining location information and equipment information of power supply guarantee equipment in the target area, and location information and power consumption information of all smart meters;

[0011] S102, identifying the load level of each smart meter according to the power consumption and power consumption time in the power consumption information;

[0012] S103, clustering according to the load level corresponding to each smart meter, and dividing the target area into multiple sub-areas;

[0013] S104, determining a first power supply relationship between the power supply guarantee equipment and the sub-area based on a preset strategy according to the location information of the sub-area, the location information of the power supply guarantee equipment, the working status of the power supply guarantee equipment, and the power consumption information of all smart meters;

[0014] The preset strategy includes: obtaining the time period when the power consumption fluctuation of any sub-area exceeds the threshold, checking the number of power supply equipment that meets the preset conditions, the preset conditions include that the power supply equipment is started within the time period, and after the power supply equipment is started, the power consumption of the sub-area is stabilized or restored; if the number of power supply equipment that meets the preset conditions is 0, then the sub-area is marked as having no power supply equipment; if the number of power supply equipment that meets the preset conditions is 1, then the power supply equipment is deemed to supply power to the sub-area;

[0015] If there are multiple power supply guarantee equipment that meet the preset conditions, the number of target sub-areas whose power consumption fluctuations exceed the threshold within the time period is detected; when the detection result is 0, it is determined that multiple power supply guarantee equipment are all supplying power to the target sub-area; when the detection result is greater than 1, the distance between each target sub-area and the activated power supply guarantee equipment is calculated to determine whether the target sub-area has a power supply relationship with the power supply guarantee equipment whose distance is less than the preset distance;

[0016] S105, obtaining location information of the mains power line and a second power supply relationship with each sub-area according to the power supply network diagram; establishing a connection relationship between the sub-area, the mains power and the power supply guarantee equipment according to the first power supply relationship and the second power supply relationship;

[0017] S106, superimposing the connection relationship, the location information of the power supply guarantee equipment, the sub-area location information and the location information of the mains power line onto the map information of the target area to generate a target model.

[0018] Furthermore, the step of identifying the load level at the location of each smart meter specifically includes:

[0019] If it is detected that the power consumption fluctuation of any smart meter remains below the threshold, it is identified as a first-level power supply area;

[0020] If it is detected that the power consumption of any smart meter exceeds the preset power consumption, and the power consumption fluctuation exceeds the threshold, it is identified as a secondary power supply area;

[0021] If it is detected that the power consumption of the smart meter is within the preset range and the power consumption contains peaks in both the morning and evening time periods, it will be identified as a third-level power supply area.

[0022] Furthermore, the step of dividing the target area into a plurality of sub-areas specifically includes:

[0023] Each smart meter is divided into several categories according to the load level, and each category represents a range of load levels;

[0024] Calculate the spatial distance between each smart meter and other smart meters within the load level to which it belongs to form a distance matrix;

[0025] Use K-means clustering algorithm to cluster the distance matrix;

[0026] According to the clustering results, the smart meters that are close in space and have similar load levels are grouped into a sub-area to ensure that the smart meters in each sub-area are relatively consistent in terms of geographical location and electricity consumption characteristics.

[0027] Output the sub-region division results after clustering.

[0028] Furthermore, the expression of the sub-region division result is:

[0029]

[0030] Where C is the partition result, i.e., the set containing the smart meter index; k is the number of sub-areas; C i is the set of all smart meters in the ith sub-area; x is the location information of the smart meter, which is a 2-dimensional real vector; μi is the centroid of the ith subregion, ||x-μ i || 2 is the centroid μ from smart meter x to sub-area i i The square of the Euclidean distance.

[0031] Further, the step of checking the number of power supply guarantee equipment that meets the preset conditions specifically includes:

[0032] Monitor the working status changes of each power supply equipment in real time and record the startup time;

[0033] Synchronously analyze the power consumption data of each sub-area within the corresponding time period, and identify the sub-areas whose power consumption meets the preset variation range;

[0034] The time series analysis method is applied to compare the consistency between the start-up time of the power supply equipment and the time points of the changes in power consumption in the sub-regions, and the number of power supply equipment whose consistency meets the preset consistency range is counted.

[0035] Furthermore, after the target model is generated, it also includes:

[0036] Obtain the equipment information corresponding to the power supply equipment from the preset database, and calculate the maximum output power of each power supply equipment;

[0037] Count the maximum power load of each sub-area within a preset time period;

[0038] Compare the maximum output power of each power supply equipment with the maximum power load of the sub-area it supplies power. If the maximum output power of the power supply equipment is greater than or equal to the maximum power load of the sub-area it supplies power, then it is determined that the power supply capacity of the power supply equipment is sufficient to cover the power demand of the sub-area; if the maximum output power of the power supply equipment is less than the maximum power load of the sub-area it supplies power, then it is determined that the power supply capacity of the power supply equipment is insufficient to cover the power demand of the sub-area, and an early warning message is generated.

[0039] Furthermore, after the target model is generated, it also includes dynamically updating the generated target model;

[0040] Dynamic updates include:

[0041] Real-time monitoring of the working status changes of power supply equipment in the target area, the power consumption changes of smart meters, and the power supply status of the mains power lines;

[0042] According to the monitoring results, update the location information, working status of the power supply equipment, the power consumption information of the smart meter, and the location information and power supply status of the mains line;

[0043] Based on the updated information, re-determine the first power supply relationship between the power supply guarantee equipment and the sub-area and the second power supply relationship between the mains and the sub-area;

[0044] According to the re-judgment result, the connection relationship between the sub-area, the mains power and the power supply equipment is updated;

[0045] The updated connection relationship, location information of power supply equipment, sub-area location information and city power line location information are superimposed on the map information of the target area to generate an updated target model.

[0046] In a second aspect, the present invention provides a modeling system for multi-level power supply equipment and city power, comprising:

[0047] A data acquisition module is used to obtain map information and a power supply network diagram of the target area, obtain the location information and equipment information of the power supply equipment in the target area, and the location information and power consumption information of all smart meters;

[0048] A load level determination module, used to identify the load level of each smart meter according to the power consumption and power consumption time in the power consumption information;

[0049] A sub-area division module is used to cluster the target area into multiple sub-areas according to the load level corresponding to each smart meter;

[0050] A first power supply relationship determination module is used to determine a first power supply relationship between the power supply guarantee equipment and the sub-area based on a preset strategy according to the location information of the sub-area, the location information of the power supply guarantee equipment, the working status of the power supply guarantee equipment and the power consumption information of all smart meters;

[0051] The preset strategy includes: obtaining the time period when the power consumption fluctuation of any sub-area exceeds the threshold, checking the number of power supply equipment that meets the preset conditions, the preset conditions include that the power supply equipment is started within the time period, and after the power supply equipment is started, the power consumption of the sub-area is stabilized or restored; if the number of power supply equipment that meets the preset conditions is 0, then the sub-area is marked as having no power supply equipment; if the number of power supply equipment that meets the preset conditions is 1, then the power supply equipment is deemed to supply power to the sub-area;

[0052] If there are multiple power supply guarantee equipment that meet the preset conditions, the number of target sub-areas whose power consumption fluctuations exceed the threshold within the time period is detected; when the detection result is 0, it is determined that multiple power supply guarantee equipment are all supplying power to the target sub-area; when the detection result is greater than 1, the distance between each target sub-area and the activated power supply guarantee equipment is calculated to determine whether the target sub-area has a power supply relationship with the power supply guarantee equipment whose distance is less than the preset distance;

[0053] A connection relationship determination module is used to obtain the location information of the mains power line and the second power supply relationship with each sub-area according to the power supply network diagram; and establish the connection relationship between the sub-area, the mains power and the power supply guarantee equipment according to the first power supply relationship and the second power supply relationship;

[0054] The model generation module is used to superimpose the connection relationship, the location information of the power supply equipment, the sub-area location information and the location information of the mains power line onto the map information of the target area to generate a target model.

[0055] In a third aspect, the present invention provides an electronic device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps corresponding to the method in the first aspect are implemented.

[0056] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps corresponding to the method in the first aspect.

[0057] In summary, the technical solution of the embodiment of the present application has at least the following advantages and beneficial effects:

[0058] The present invention establishes a comprehensive basic data set by collecting map information, power supply network diagram, location information and equipment information of smart meters and power supply equipment in the target area. Then, the power consumption information and power consumption time of the smart meters are used, combined with the preset load level judgment standard, to accurately identify the load level of each smart meter. Then, spatial clustering is performed according to the load level, and the target area is divided into multiple sub-areas with similar power consumption characteristics by applying the K-means clustering algorithm. On this basis, according to the location information of the sub-area, the working state of the power supply equipment and the power consumption information, the first power supply relationship between the power supply equipment and the sub-area is judged based on the preset strategy. The power supply network diagram is used to obtain the location information of the mains line and the second power supply relationship with each sub-area. Finally, these connection relationships, the location of the power supply equipment, the location of the sub-area and the location of the mains line are superimposed on the map information of the target area to generate a target model. The relationship and connection status between the multi-level power supply equipment and the mains in the target area are automatically obtained. At the same time, by integrating multi-source data and displaying it on the map information, a refined description of the power supply management of the target area is achieved, providing accurate decision support for power managers. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 A flow chart of a modeling method for multi-level power supply equipment and city power provided by the present invention;

[0060] Figure 2 It is a schematic diagram of the target model in the present invention.

[0061] Figure 3 A schematic diagram of the structure of a multi-level power supply guarantee equipment and a mains power modeling system provided by the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0063] The embodiment of the present application provides a modeling method for multi-level power supply equipment and city power, including:

[0064] S101, obtaining map information and a power supply network diagram of a target area, obtaining location information and equipment information of power supply guarantee equipment in the target area, and location information and power consumption information of all smart meters.

[0065] Specifically, the map information of the target area provides a reference framework for the geographical location; the power supply network diagram reveals the layout and connection of the city power lines; the location information and equipment information of the power supply equipment explain the distribution of these equipment and their technical specifications; the location information and power consumption information of the smart meter record the power consumption of each point in the area in detail. Together, this information constitutes the basic data set for modeling and provides the necessary input for subsequent steps.

[0066] S102: Identify the load level at the location of each smart meter based on the power consumption and power consumption time in the power consumption information.

[0067] Among them, this step aims to accurately identify the load level of each smart meter. The core is to determine the power supply level of the area represented by each smart meter by analyzing the power consumption information and power consumption time of the smart meter, combined with the preset load level judgment criteria. Specifically, first, the system will continuously monitor the power consumption data of each smart meter, including the absolute value of power consumption and its fluctuations over a certain period of time. These data provide the basis for the preliminary judgment of the load level. Then, the system will interpret and classify these data according to a series of detailed rules and standards. The rules are as follows:

[0068] Since public service areas such as hospitals and firefighting need to be maintained 24 hours a day, they have stable and continuous electricity demand, no obvious low electricity consumption, and small fluctuations in electricity consumption within 24 hours. Therefore, when the fluctuation of electricity consumption of any smart meter is detected to be continuously below the threshold, it is identified as a first-level power supply area. Commercial or industrial areas have the characteristics of concentrated peak hours, large electricity consumption, and large fluctuations in electricity consumption due to different production plans. Therefore, when it is detected that the electricity consumption of any smart meter exceeds the preset electricity consumption, and the fluctuation range of electricity consumption exceeds the threshold, it is identified as a second-level power supply area; residential areas have obvious peaks in electricity consumption in the morning and evening. Therefore, if the electricity consumption of the smart meter is detected to be within the preset range, and the electricity consumption contains peaks in both the morning and evening time periods, it is identified as a third-level power supply area.

[0069] S103: Clustering is performed according to the load level corresponding to each smart meter, and the target area is divided into multiple sub-areas.

[0070] Specifically, a preliminary classification is performed according to the load level corresponding to each smart meter. This step is to divide all smart meters in the target area into three categories according to their load level (level 1, level 2, level 3, etc.), and each category represents a specific load level range. Such classification provides a basis for subsequent spatial clustering, ensuring that the clustering process mainly considers the similarity of load levels.

[0071] Then, the spatial distance between each smart meter and other smart meters within the load level range to which it belongs is calculated. The purpose of this step is to quantify the proximity of smart meters in spatial distribution. By calculating the distance between each pair of smart meters, a distance matrix can be constructed, which clearly shows the spatial relationship between smart meters and provides the necessary data input for the subsequent clustering algorithm.

[0072] Then, the K-means clustering algorithm is used to perform cluster analysis on the distance matrix. K-means clustering is a commonly used unsupervised learning algorithm that can divide data points into K clusters based on their similarity without pre-defined category labels. In this step, the algorithm automatically divides the smart meters into several clusters based on the spatial distance between them. The smart meters in each cluster are relatively close in space, and because they are classified within the same load level range, they also have certain similarities in power consumption characteristics.

[0073] Finally, based on the clustering results, smart meters that are close in space and have similar load levels are grouped into a sub-region. This step is the interpretation and application of the clustering results, which ensures that the smart meters in each sub-region are not only close to each other in terms of geographical location, but also have relatively consistent power consumption characteristics (i.e., load levels). Such sub-region division results are helpful for the subsequent modeling and analysis of power supply equipment and city power, so that the model can more accurately reflect the power demand and power supply characteristics of different areas in the target area.

[0074] Among them, the expression of the sub-region division result is:

[0075]

[0076] Where C is the partition result, i.e., the set containing the smart meter index; k is the number of sub-areas; C i is the set of all smart meters in the ith sub-area; x is the location information of the smart meter, which is a 2-dimensional real vector; μ i is the centroid of the ith subregion, ||x-μ i || 2 is the centroid μ from smart meter x to sub-area i i The square of the Euclidean distance.

[0077] S104, judging a first power supply relationship between the power supply guarantee equipment and the sub-area based on a preset strategy according to the location information of the sub-area, the location information of the power supply guarantee equipment, the working status of the power supply guarantee equipment and the power consumption information of all smart meters.

[0078] Specifically, this step aims to ensure that the role and impact of power supply equipment in the actual power supply network can be accurately understood. First, the preset strategy first obtains the time period when the power consumption fluctuation of any sub-area exceeds the threshold. This is to identify which sub-areas have experienced unstable power supply in a specific time period. The power consumption fluctuations in these time periods may be due to insufficient mains power supply or other external factors.

[0079] Then, check the number of power supply equipment that meets the preset conditions within these time periods. The preset conditions include that the power supply equipment is started within the time period, and after the power supply equipment is started, the power consumption of the sub-area is stabilized or restored. The purpose of this step is to verify whether the power supply equipment has indeed played a stabilizing role in the power supply of the sub-area. If a power supply equipment is started and the power consumption is stabilized or restored in a sub-area during a time period when the power consumption fluctuation exceeds the threshold, it is considered that the power supply equipment has supplied power to the sub-area. Specifically, the following implementation methods can be adopted: real-time monitoring of the working status changes of each power supply equipment and recording the start-up time; synchronous analysis of the power consumption data of each sub-area in the corresponding time period, and identification of sub-areas whose power consumption meets the preset change range; application of time series analysis methods, comparison of the consistency between the start-up time of the power supply equipment and the time point of the change in power consumption in the sub-area, and statistical calculation of the number of power supply equipment whose consistency meets the preset consistency range.

[0080] When the number of power supply equipment that meets specific preset conditions is obtained, this data becomes an important basis for analyzing the power supply relationship. Specifically, if the number of power supply equipment that meets the conditions is 0, this directly indicates that when the power consumption in the sub-area fluctuates, no power supply equipment is activated. This situation reflects that the sub-area is not equipped with power supply equipment, so the system will mark the sub-area as having no power supply equipment. If the number of power supply equipment that meets the conditions is 1, it means that when the power consumption in the sub-area fluctuates, only one power supply equipment starts working. This is sufficient to determine that the single power supply equipment is responsible for providing power guarantee for the sub-area.

[0081] If there are multiple power supply equipment that meet the preset conditions, it means that when power consumption fluctuates in the sub-area, multiple power supply equipment is started at the same time. This situation indicates that multiple power supply equipment may be supplying power to one sub-area, or multiple sub-areas may experience power consumption fluctuations at the same time in the time period, resulting in multiple power supply equipment being started at the same time. Therefore, in this case, this embodiment first detects the number of target sub-areas whose power consumption fluctuations exceed the threshold within the time period; when the detection result is 0, it means that multiple power supply equipment are supplying power to one sub-area, that is, it is determined that multiple power supply equipment are all supplying power to the target sub-area; when the detection result is greater than 1, the distance between each target sub-area and the started power supply equipment is calculated by utilizing the feature that the power supply equipment is mostly located near the area, and it is determined that there is a power supply relationship between the target sub-area and the power supply equipment whose distance is less than the preset distance.

[0082] However, when the number of power supply equipment that meets the conditions reaches multiple, it means that when the power consumption in the sub-area fluctuates, multiple power supply equipment is started at the same time. This situation may be caused by two factors: one is that multiple power supply equipment jointly supplies power to a sub-area to cope with large fluctuations in power demand; the other is that multiple different sub-areas have power consumption fluctuations in the same time period, resulting in the activation of their corresponding power supply equipment. In order to accurately distinguish these two situations, this embodiment detects the number of target sub-areas whose power consumption fluctuations exceed the preset threshold in a specific time period. If the detection result is 0, that is, no other sub-areas with power consumption fluctuations are detected, it can be inferred that multiple power supply equipment jointly provide power support for a sub-area. If the detection result is greater than 1, that is, there are multiple sub-areas with power consumption fluctuations at the same time, then it is necessary to further use the feature that the power supply equipment is usually located near its power supply area for judgment. The system calculates the actual distance between each target sub-area and the activated power supply equipment, and compares this distance with the preset distance threshold. Only when the distance between the target sub-area and a power supply equipment is less than the preset distance, it is determined that there is a direct power supply relationship between the target sub-area and the power supply equipment.

[0083] S105, obtaining the location information of the mains power line and the second power supply relationship with each sub-area according to the power supply network diagram; establishing the connection relationship between the sub-area, the mains power and the power supply guarantee equipment according to the first power supply relationship and the second power supply relationship. The power supply network diagram includes the geographical direction of the mains power line, the branch and intersection of the line, and the relative position relationship between them and each sub-area.

[0084] S106, superimposing the connection relationship, the location information of the power supply guarantee equipment, the sub-area location information and the location information of the mains power line onto the map information of the target area to generate a target model.

[0085] Specifically, after completing the division of sub-areas, determining the first power supply relationship between power supply equipment and sub-areas, and determining the second power supply relationship between the mains and sub-areas, these key information are integrated into a framework based on map information to facilitate subsequent analysis, management and decision support. During the integration process, the system marks the location information of each sub-area on the map with a specific graphic or color, such as Figure 2 The part surrounded by the dotted line in the figure can intuitively reflect the spatial distribution and range of the sub-area. Then, the location information of the power supply equipment will also be superimposed on the map, and the power supply equipment will be represented by a solid circle symbol, such as Figure 2 a in the figure; the hollow circle symbol represents a smart meter, such as Figure 2The relative position relationship between these icons and the sub-area marks directly reflects the physical distance and potential power supply connection between the power supply equipment and the sub-area. At the same time, the location information of the city power line will also be accurately drawn on the map, such as Figure 2 The c in it includes key elements such as the direction, branches, and intersections of the lines. This information is combined with the markings of the sub-areas and power supply equipment to form a complete power supply network diagram. In this network diagram, the city power line, as the main source of electricity, forms a direct power supply relationship with the sub-areas, which is marked by connecting lines. The power supply device, as a supplement to electricity, is clearly marked on the map with arrows. In addition, the system will add corresponding arrow annotations to the map based on the first power supply relationship and the second power supply relationship determined in the previous step to show the power supply situation of the multi-level power supply equipment.

[0086] Furthermore, after the target model is generated, the power supply capacity assessment and early warning mechanism of the power supply equipment is introduced to ensure the stability and reliability of the power supply network. Specifically, it includes:

[0087] Obtain the equipment information corresponding to the power supply equipment from the preset database, and calculate the maximum output power of each power supply equipment. Among them, the preset database usually contains the technical parameters of various power supply equipment, including but not limited to rated power, maximum output power, operating efficiency and other key data. By retrieving these parameters, the system can accurately grasp the performance characteristics of each power supply equipment and provide accurate data support for subsequent analysis. Then, based on the equipment information obtained from the database, the system calculates the maximum output power of each power supply equipment under ideal conditions through the power calculation formula.

[0088] Statistics are collected for the maximum power load of each sub-area within a preset time period; that is, statistics are collected for the maximum power load of each sub-area within a specific time period (such as peak hours, extreme weather conditions, etc.). This data can be obtained by analyzing the power consumption information of smart meters, combining historical data and prediction models, thereby ensuring the accuracy and reliability of the evaluation results.

[0089] Compare the maximum output power of each power supply equipment with the maximum power load of the sub-area it supplies power to. If the maximum output power of the power supply equipment is greater than or equal to the maximum power load of the sub-area it supplies power to, then it is determined that the power supply capacity of the power supply equipment is sufficient to cover the power demand of the sub-area; if the maximum output power of the power supply equipment is less than the maximum power load of the sub-area it supplies power to, then it is determined that the power supply capacity of the power supply equipment is insufficient to cover the power demand of the sub-area, and generate early warning information. Early warning information includes reminders to relevant personnel to take timely measures, such as increasing power supply equipment, optimizing the layout of the power supply network, etc., to ensure the stability and reliability of the power supply network. The generation of early warning information not only helps to prevent potential power supply risks in advance, but also provides an important basis for subsequent emergency response and decision support.

[0090] Furthermore, after the target model is generated, the generated target model is dynamically updated to ensure that the model can reflect the actual status of the power supply network in the target area in real time. The dynamic update includes:

[0091] Real-time monitoring of changes in the working status of power supply equipment in the target area, changes in power consumption of smart meters, and power supply status of city power lines.

[0092] According to the monitoring results, the location information, working status of the power supply equipment, the power consumption information of the smart meter, and the location information and power supply status of the mains line are updated. Through data communication and data processing technology, the real-time monitored data is uploaded to the processing system and compared and replaced with the original data in the model. This ensures that the data in the model is the latest and most accurate, thus reflecting the latest status of the power supply network.

[0093] Based on the updated information, the first power supply relationship between the power supply equipment and the sub-area and the second power supply relationship between the mains and the sub-area are re-determined. Specifically, since the state of the power supply network is dynamically changing, the startup of the power supply equipment and the power supply state of the mains line may affect the determination of the power supply relationship. Therefore, by re-analyzing the updated data, the power supply relationship in the current power supply network can be accurately determined, providing an accurate basis for subsequent decision support.

[0094] According to the results of the re-judgment, the connection relationship between the sub-area, the mains and the power supply equipment is updated. Specifically, the connection relationship is one of the core elements in the model, which reflects the association and interaction between the elements in the power supply network. By updating the connection relationship, it can be ensured that the power supply network structure in the model is consistent with the actual situation, thereby supporting more accurate power supply network analysis and decision-making.

[0095] The updated connection relationship, location information of power supply equipment, sub-area location information and city power line location information are superimposed on the map information of the target area to generate an updated target model.

[0096] Based on the same inventive concept, the present invention provides a modeling system for multi-level power supply equipment and city power, including:

[0097] A data acquisition module is used to obtain map information and a power supply network diagram of the target area, obtain the location information and equipment information of the power supply equipment in the target area, and the location information and power consumption information of all smart meters;

[0098] A load level determination module, used to identify the load level of each smart meter according to the power consumption and power consumption time in the power consumption information;

[0099] A sub-area division module is used to cluster the target area into multiple sub-areas according to the load level corresponding to each smart meter;

[0100] A first power supply relationship determination module is used to determine a first power supply relationship between the power supply guarantee equipment and the sub-area based on a preset strategy according to the location information of the sub-area, the location information of the power supply guarantee equipment, the working status of the power supply guarantee equipment and the power consumption information of all smart meters;

[0101] The preset strategy includes: obtaining the time period when the power consumption fluctuation of any sub-area exceeds the threshold, checking the number of power supply equipment that meets the preset conditions, the preset conditions include that the power supply equipment is started within the time period, and after the power supply equipment is started, the power consumption of the sub-area is stabilized or restored; if the number of power supply equipment that meets the preset conditions is 0, then the sub-area is marked as having no power supply equipment; if the number of power supply equipment that meets the preset conditions is 1, then the power supply equipment is deemed to supply power to the sub-area;

[0102] If there are multiple power supply guarantee equipment that meet the preset conditions, the number of target sub-areas whose power consumption fluctuations exceed the threshold within the time period is detected; when the detection result is 0, it is determined that multiple power supply guarantee equipment are all supplying power to the target sub-area; when the detection result is greater than 1, the distance between each target sub-area and the activated power supply guarantee equipment is calculated to determine whether the target sub-area has a power supply relationship with the power supply guarantee equipment whose distance is less than the preset distance;

[0103] A connection relationship determination module is used to obtain the location information of the mains power line and the second power supply relationship with each sub-area according to the power supply network diagram; and establish the connection relationship between the sub-area, the mains power and the power supply guarantee equipment according to the first power supply relationship and the second power supply relationship;

[0104] The model generation module is used to superimpose the connection relationship, the location information of the power supply equipment, the sub-area location information and the location information of the mains power line onto the map information of the target area to generate a target model.

[0105] Based on the same inventive concept, the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein a method for modeling multi-level power supply equipment and city power is provided when the processor executes the computer program.

[0106] Based on the same inventive concept, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements a modeling method for multi-level power supply equipment and city power.

[0107] The above are only preferred embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A modeling method for multi-level power supply equipment and city power, characterized in that: include: S101, obtaining map information and a power supply network diagram of a target area, obtaining location information of power supply guarantee equipment in the target area, equipment information of the power supply guarantee equipment, and location information and power consumption information of all smart meters; S102, identifying the load level of each location of the smart meter according to the power consumption and power consumption time in the power consumption information; S103, clustering according to the load level corresponding to each of the smart meters, and dividing the target area into multiple sub-areas; S104, determining a first power supply relationship between the power supply guarantee equipment and the sub-area based on a preset strategy according to the location information of the sub-area, the location information of the power supply guarantee equipment, the working status of the power supply guarantee equipment, and the power consumption information of all smart meters; The preset strategy includes: obtaining a time period in which the power consumption fluctuation of any sub-area exceeds a threshold, checking the number of power supply guarantee equipment that meets the preset conditions, wherein the preset conditions include that the power supply guarantee equipment is started within the time period, and after the power supply guarantee equipment is started, the power consumption of the sub-area is stabilized or restored; if the number of power supply guarantee equipment that meets the preset conditions is 0, marking the sub-area as having no power supply guarantee equipment; if the number of power supply guarantee equipment that meets the preset conditions is 1, determining that the power supply guarantee equipment supplies power to the sub-area; If there are multiple power supply guarantee equipment that meet the preset conditions, the number of target sub-areas whose power consumption fluctuations exceed the threshold value within the time period is detected; when the detection result is 0, it is determined that multiple power supply guarantee equipment are all supplying power to the target sub-area; when the detection result is greater than 1, the distance between each of the target sub-areas and the activated power supply guarantee equipment is calculated, and it is determined that there is a power supply relationship between the target sub-area and the power supply guarantee equipment whose distance is less than the preset distance; S105, acquiring location information of the mains power line and a second power supply relationship with each sub-area according to the power supply network diagram; establishing a connection relationship between the sub-area, the mains power and the power supply guarantee equipment according to the first power supply relationship and the second power supply relationship; S106, superimposing the connection relationship, location information of power supply guarantee equipment, sub-area location information and city power line location information onto the map information of the target area to generate a target model.

2. According to claim 1, a modeling method for multi-level power supply equipment and city power is characterized in that: The step of identifying the load level at the location of each smart meter specifically includes: If it is detected that the power consumption fluctuation of any smart meter remains below the threshold, it is identified as a first-level power supply area; If it is detected that the power consumption of any smart meter exceeds the preset power consumption, and the power consumption fluctuation exceeds the threshold, it is identified as a secondary power supply area; If it is detected that the power consumption of the smart meter is within the preset range and the power consumption contains peaks in both the morning and evening time periods, it will be identified as a third-level power supply area.

3. According to claim 1, a modeling method for multi-level power supply equipment and city power is characterized in that: The step of dividing the target area into a plurality of sub-areas specifically comprises: Each smart meter is divided into several categories according to the load level, and each category represents a range of load levels; Calculate the spatial distance between each smart meter and other smart meters within the load level to which it belongs to form a distance matrix; Clustering the distance matrix using a K-means clustering algorithm; According to the clustering results, the smart meters that are close in space and have similar load levels are grouped into a sub-area to ensure that the smart meters in each sub-area are relatively consistent in terms of geographical location and electricity consumption characteristics. Output the sub-region division results after clustering.

4. According to claim 3, a modeling method for multi-level power supply equipment and city power is characterized in that: The expression of the sub-region division result is: Where C is the partition result, i.e., the set containing the smart meter index; k is the number of sub-areas; C i is the set of all smart meters in the ith sub-area; x is the location information of the smart meter, which is a 2-dimensional real vector; μ i is the centroid of the ith subregion, ||x-μ i || 2 is the centroid μ from smart meter x to sub-area i i The square of the Euclidean distance.

5. The modeling method of multi-level power supply equipment and city power according to claim 1 is characterized in that: The step of checking the number of power supply guarantee equipment that meets the preset conditions specifically includes: Monitor the working status changes of each power supply equipment in real time and record the startup time; Synchronously analyze the power consumption data of each sub-area within the corresponding time period, and identify the sub-areas whose power consumption meets the preset variation range; The time series analysis method is applied to compare the consistency between the start-up time of the power supply equipment and the time points of the changes in power consumption in the sub-regions, and the number of power supply equipment whose consistency meets the preset consistency range is counted.

6. The modeling method of multi-level power supply equipment and mains power according to claim 1 is characterized in that: After the target model is generated, the method further includes: Obtain the equipment information corresponding to the power supply equipment from the preset database, and calculate the maximum output power of each power supply equipment; Count the maximum power load of each sub-area within a preset time period; Compare the maximum output power of each power supply equipment with the maximum power load of the sub-area it supplies power. If the maximum output power of the power supply equipment is greater than or equal to the maximum power load of the sub-area it supplies power, then it is determined that the power supply capacity of the power supply equipment is sufficient to cover the power demand of the sub-area; if the maximum output power of the power supply equipment is less than the maximum power load of the sub-area it supplies power, then it is determined that the power supply capacity of the power supply equipment is insufficient to cover the power demand of the sub-area, and an early warning message is generated.

7. The modeling method of multi-level power supply equipment and mains power according to claim 1 is characterized in that: After the target model is generated, the generated target model is also dynamically updated; The dynamic update includes: Real-time monitoring of the working status changes of power supply equipment in the target area, the power consumption changes of smart meters, and the power supply status of the mains power lines; According to the monitoring results, update the location information, working status of the power supply equipment, the power consumption information of the smart meter, and the location information and power supply status of the mains line; Based on the updated information, re-determine the first power supply relationship between the power supply guarantee equipment and the sub-area and the second power supply relationship between the mains and the sub-area; According to the re-judgment result, the connection relationship between the sub-area, the mains power and the power supply equipment is updated; The updated connection relationship, location information of power supply guarantee equipment, sub-area location information and city power line location information are superimposed on the map information of the target area to generate an updated target model.

8. A modeling system for multi-level power supply equipment and city power, characterized by: include: A data acquisition module is used to acquire map information and a power supply network diagram of a target area, and acquire location information and equipment information of power supply guarantee equipment in the target area, as well as location information and power consumption information of all smart meters; A load level determination module, used to identify the load level of each location of the smart meter according to the power consumption and power consumption time in the power consumption information; A sub-area division module, used for clustering the target area into a plurality of sub-areas according to the load level corresponding to each of the smart meters; A first power supply relationship determination module is used to determine a first power supply relationship between the power supply guarantee equipment and the sub-area based on a preset strategy according to the location information of the sub-area, the location information of the power supply guarantee equipment, the working status of the power supply guarantee equipment and the power consumption information of all smart meters; The preset strategy includes: obtaining a time period in which the power consumption fluctuation of any sub-area exceeds a threshold, checking the number of power supply guarantee equipment that meets the preset conditions, wherein the preset conditions include that the power supply guarantee equipment is started within the time period, and after the power supply guarantee equipment is started, the power consumption of the sub-area is stabilized or restored; if the number of power supply guarantee equipment that meets the preset conditions is 0, marking the sub-area as having no power supply guarantee equipment; if the number of power supply guarantee equipment that meets the preset conditions is 1, determining that the power supply guarantee equipment supplies power to the sub-area; If there are multiple power supply guarantee equipment that meet the preset conditions, the number of target sub-areas whose power consumption fluctuations exceed the threshold value within the time period is detected; when the detection result is 0, it is determined that multiple power supply guarantee equipment are all supplying power to the target sub-area; when the detection result is greater than 1, the distance between each of the target sub-areas and the activated power supply guarantee equipment is calculated, and it is determined that there is a power supply relationship between the target sub-area and the power supply guarantee equipment whose distance is less than the preset distance; The connection relationship determination module is used to obtain the location information of the mains power line and the connection relationship between each sub-area according to the power supply network diagram. A second power supply relationship; establishing a connection relationship between the sub-area, the mains power supply and the power supply guarantee equipment according to the first power supply relationship and the second power supply relationship; The model generation module is used to superimpose the connection relationship, the location information of the power supply equipment, the sub-area location information and the location information of the mains power line onto the map information of the target area to generate a target model.

9. An electronic device, characterized in that: The electronic device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps corresponding to the method according to any one of claims 1 to 7 when executing the computer program.

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

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