Power data processing method, system and device, storage medium and program product

Abstract

The invention provides an electric power data processing method, system and device, a storage medium and a program product, and relates to the technical field of electric power data management. The method comprises the following steps: acquiring power system data of a time span and a territorial scope corresponding to a power data processing demand; data classification is carried out on the power system data, target data needed by different data statistical analysis requirements are obtained, and the data statistical analysis requirements comprise a fault influence analysis requirement, an annual power failure auxiliary analysis requirement, a power supply station digital analysis requirement and a medium-voltage one-map analysis requirement; performing data statistical analysis on the target data to obtain a statistical analysis result corresponding to the data statistical analysis requirement; and according to a statistical analysis result, automatically summarizing overall characteristics, rules and abnormal conditions of the power system data to form a power system analysis report. Comprehensive data insight is provided for operation of the power system, the reliability of a power system analysis report is improved, and then the reliability and efficiency of power system management are improved.

Description

Technical Field

[0001] The present application relates to the technical field of power data management, and in particular, to a power data processing method, system, device, storage medium, and program product. Background Art

[0002] With the development of all walks of life in society towards digitalization, networking, and intelligence, the application of big data and information technology will bring potential opportunities and broad application scenarios to power enterprises. How to release the value of power big data has become one of the key issues of concern in the field of power big data. At the same time, in recent years, the power industry's demand for data opening, sharing, and integration has been increasing day by day. Power big data is crucial for the management and development of power systems. Among them, the processing of power data is the key step to realize the value of power big data.

[0003] In related technologies, through data cleaning, data integration, data conversion, data reduction, and data induction, data elements of power basic data are extracted to obtain power basic data after structured processing. For the power basic data after structured processing, timeliness, completeness, integrity, and validity checks are performed, and after passing the checks, it is stored in a preset database.

[0004] However, the above method cannot achieve efficient and reliable power system management. Summary of the Invention

[0005] The present application provides a power data processing method, system, device, storage medium, and program product to achieve efficient and reliable power system management.

[0006] In a first aspect, the present application provides a power data processing method, including:

[0007] Obtaining power system data corresponding to a time span and a geographical range according to power data processing requirements;

[0008] Classifying the power system data according to data statistical analysis requirements to obtain target data required for different data statistical analysis requirements, where the data statistical analysis requirements include fault impact analysis requirements, annual power outage auxiliary analysis requirements, digital analysis requirements for power supply stations, and medium-voltage single-map analysis requirements;

[0009] Performing data statistical analysis on the target data according to the corresponding data statistical analysis requirements to obtain statistical analysis results corresponding to the data statistical analysis requirements;

[0010] Automatically summarizing the overall characteristics, laws, and abnormal conditions of the power system data within the geographical range and time span according to the statistical analysis results to form a power system analysis report, which is used to provide a basis for the operation, maintenance, and optimization of the power system.

[0011] In a possible implementation manner, the data statistical analysis corresponding to the fault impact analysis requirements includes:

[0012] Determine the faulty substation area and the faulty switch based on the target data required by the fault impact analysis requirements;

[0013] Determine the equipment basic information corresponding to the faulty substation area according to the substation area identifier of the faulty substation area;

[0014] According to the switch identifier of the faulty switch, determine the distribution transformer positioning corresponding to the faulty switch, the faulty substation area and the power outage substation area under the switch, the substation area fault duration, and the switch power outage duration;

[0015] On the distribution network map, mark the faulty substation area, the faulty switch, the equipment basic information, as well as the distribution transformer positioning corresponding to the faulty switch, the faulty substation area and the power outage substation area under the switch, the substation area fault duration, and the switch power outage duration, to obtain the statistical analysis result corresponding to the fault impact analysis requirements.

[0016] In a possible implementation manner, the data statistical analysis corresponding to the annual power outage assistance requirements includes:

[0017] Based on the target data required by the annual power outage assistance analysis requirements, perform switch search for the target construction location to obtain multiple switches corresponding to the target construction location;

[0018] Based on the multiple switches and the target data required by the annual power outage assistance analysis requirements, analyze the power outage impact range, and determine the switch with the smallest power outage impact range as the power outage switch;

[0019] Based on the power outage switch and the target data required by the annual power outage assistance analysis requirements, analyze the minimum number of repeated power outages and the minimum number of construction times to obtain the power outage plan corresponding to the target construction location;

[0020] According to the power outage plan, determine the statistical analysis result corresponding to the annual power outage assistance analysis requirements;

[0021] On the distribution network management platform, display the power outage plan.

[0022] In a possible implementation manner, the data statistical analysis corresponding to the digital analysis requirements of the power supply station includes:

[0023] Based on the target data required by the digital analysis requirements of the power supply station, according to the distribution transformer identifier information of the distribution transformer, respectively determine the heavy overload data, the first electricity user information, and the second electricity user information affected by the distribution transformer business expansion corresponding to the distribution transformer identifier information;

[0024] According to the heavy overload data, the first electricity user information, and the second electricity user information, determine the statistical analysis result corresponding to the digital analysis requirements of the power supply station;

[0025] Visualize the statistical analysis results in charts.

[0026] In a possible implementation, the data statistical analysis corresponding to the medium-voltage single-diagram analysis requirement includes:

[0027] Based on the target data required for the medium-voltage single-diagram analysis requirement, determine the power equipment problems corresponding to multiple feeders covered by the target area;

[0028] Classify and statistically analyze the power equipment problems according to the problem types to obtain the target power equipment problems corresponding to different problem types under each feeder;

[0029] Visualize the target power equipment problems to obtain the statistical analysis results corresponding to the medium-voltage single-diagram analysis requirement.

[0030] In a possible implementation, according to the data statistical analysis requirement, classify the power system data, including:

[0031] Clean the power system data to obtain the cleaned data. Data cleaning includes missing value processing, outlier detection, and duplicate data processing;

[0032] Perform unified data format processing on the cleaned data to obtain the unified processed data;

[0033] Classify the unified processed data according to the data statistical analysis requirement.

[0034] In a second aspect, the present application provides a power data processing system, including:

[0035] An acquisition module, configured to acquire power system data with a time span and geographical scope corresponding to the power data processing requirement according to the power data processing requirement;

[0036] A classification module, configured to classify the power system data according to the data statistical analysis requirement to obtain the target data required for different data statistical analysis requirements. The data statistical analysis requirements include fault impact analysis requirements, annual power outage auxiliary analysis requirements, digital analysis requirements for power supply stations, and medium-voltage single-diagram analysis requirements;

[0037] A statistics module, configured to perform data statistical analysis on the target data according to the corresponding data statistical analysis requirement to obtain the statistical analysis results corresponding to the data statistical analysis requirement;

[0038] An induction module, configured to automatically induce the overall characteristics, laws, and abnormal conditions of the power system data within the geographical scope and time span according to the statistical analysis results, and form a power system analysis report to provide a basis for the operation, maintenance, and optimization of the power system.

[0039] In a possible implementation, the statistical module is specifically configured to: determine a faulty substation area and a faulty switch based on the target data required for fault impact analysis; determine the equipment basic information corresponding to the faulty substation area according to the substation area identifier of the faulty substation area; determine the distribution transformer location corresponding to the faulty switch, the faulty substation areas and the power-off substation areas under the switch, the substation area fault duration, and the switch power-off duration according to the switch identifier of the faulty switch; mark the faulty substation area, the faulty switch, the equipment basic information, the distribution transformer location corresponding to the faulty switch, the faulty substation areas and the power-off substation areas under the switch, the substation area fault duration, and the switch power-off duration on the distribution network map to obtain the statistical analysis result corresponding to the fault impact analysis requirement.

[0040] In a possible implementation, the statistical module is further configured to: search for switches at the target construction location based on the target data required for annual power outage auxiliary analysis to obtain multiple switches corresponding to the target construction location; analyze the power outage impact range based on the multiple switches and the target data required for annual power outage auxiliary analysis, and determine the switch with the smallest power outage impact range as the power outage switch; analyze the minimum number of repeated power outages and the minimum number of construction times based on the power outage switch and the target data required for annual power outage auxiliary analysis to obtain the power outage plan corresponding to the target construction location; determine the statistical analysis result corresponding to the annual power outage auxiliary analysis requirement according to the power outage plan; display the power outage plan on the distribution network management platform.

[0041] In a possible implementation, the statistical module is further configured to: determine the overload data, the first electricity user information, and the second electricity user information affected by the distribution transformer business expansion corresponding to the distribution transformer identification information respectively based on the target data required for digital analysis of the power supply station; determine the statistical analysis result corresponding to the digital analysis requirement of the power supply station according to the overload data, the first electricity user information, and the second electricity user information; and perform a visual chart display on the statistical analysis result.

[0042] In a possible implementation, the statistical module is further configured to: determine the power equipment problems corresponding to multiple feeders covered by the target area based on the target data required for medium-voltage single-map analysis; classify and count the power equipment problems according to the problem type to obtain the target power equipment problems corresponding to different problem types under each feeder; and perform a visual display on the target power equipment problems to obtain the statistical analysis result corresponding to the medium-voltage single-map analysis requirement.

[0043] In a possible implementation, the classification module is specifically configured to: perform data cleaning on the power system data to obtain the cleaned data, where data cleaning includes missing value processing, outlier detection, and duplicate data processing; perform unified data format processing on the cleaned data to obtain the unified processed data; and classify the unified processed data according to the data statistical analysis requirements.

[0044] In a third aspect, the present application provides an electronic device, including: a memory, a processor;

[0045] The memory stores computer-executable instructions;

[0046] The processor executes the computer-executable instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementations of the first aspect.

[0047] In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed, they are used to implement the above first aspect and / or various possible implementations of the first aspect.

[0048] In a fifth aspect, the present application provides a computer program product, including a computer program, and when the computer program is executed, it implements the above first aspect and / or various possible implementations of the first aspect.

[0049] The power data processing method, system, device, storage medium, and program product provided by the present application obtain power system data corresponding to the time span and geographical range corresponding to the power data processing requirements according to the power data processing requirements; classify the power system data according to the data statistical analysis requirements to obtain the target data required for different data statistical analysis requirements respectively; perform data statistical analysis on the target data according to the corresponding data statistical analysis requirements to obtain the statistical analysis results corresponding to the data statistical analysis requirements; and automatically summarize the overall characteristics, rules, and abnormal conditions of the power system data within the geographical range and time span according to the statistical analysis results to form a power system analysis report. The present application performs data statistical analysis from multiple different dimensions to obtain multi-dimensional statistical analysis results, provides comprehensive data insights for the operation of the power system, can more accurately reveal the operation trends and periodic changes of the power system, improve the reliability of the power system analysis report, provide reliable data support for the management of the power system, and thus improve the reliability and efficiency of power system management. In addition, an automatic summary of the power system analysis report based on the statistical analysis results improves efficiency and enhances user satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The accompanying drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.

[0051] Figure 1 It is a schematic flowchart of the power data processing method provided by the embodiment of the present application;

[0052] Figure 2 It is a schematic structural diagram of the power data processing system provided by the embodiment of the present application;

[0053] Figure 3 It is a schematic structural diagram of the fault impact analysis module provided by the embodiment of the present application;

[0054] Figure 4 It is a schematic structural diagram of the annual power outage auxiliary analysis module provided by the embodiment of the present application;

[0055] Figure 5 It is a schematic structural diagram of the digitalization module of the power supply station provided by the embodiment of the present application;

[0056] Figure 6 It is a schematic structural diagram of the medium-voltage single map module provided by the embodiment of the present application;

[0057] Figure 7 It is a schematic structural diagram of the electronic device provided by the embodiment of the present application.

[0058] Through the above-mentioned drawings, specific embodiments of the present application have been shown, and there will be more detailed descriptions hereinafter. These drawings and textual descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. Detailed Embodiments

[0059] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0060] In the related art, after the acquired power basic data is structurally processed, it is verified, and after the verification passes, it is stored in a preset database. However, the statistically analyzed power basic data after the structural processing is not performed, so that the staff cannot intuitively master the operation of the entire power system, and cannot perceive the overall characteristics, laws, and abnormal conditions of the power system data, ultimately reducing the efficiency and reliability of the power system management.

[0061] To solve the above technical problems, the power data processing method provided in this application performs data statistical analysis on power system data from multiple different dimensions to obtain multi-dimensional statistical analysis results, providing comprehensive data insights for the operation of the power system, being able to more accurately reveal the operation trends and periodic changes of the power system, improving the reliability of power system analysis reports, providing reliable data support for the management of the power system, and thus improving the reliability and efficiency of power system management.

[0062] The following uses specific embodiments to elaborate in detail on the technical solutions of this application and how the technical solutions of this application solve the above technical problems. These several specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0063] Figure 1 It is a schematic flowchart of the power data processing method provided in the embodiments of this application. As Figure 1 shown, this power data processing method includes:

[0064] S101. According to the power data processing requirements, obtain power system data corresponding to the time span and geographical scope corresponding to the power data processing requirements.

[0065] Among them, the power system data at least includes operation data, equipment parameters (such as distribution transformers, switches, power generation equipment, energy storage equipment, etc.), meteorological data (such as temperature, humidity, wind speed, precipitation, etc.), load data (power consumption, power usage duration, etc.), and power grid topology data (such as the connection relationships and locations of various equipment in the power system). The data type can be real-time data, historical data, or statistical data. The time span, for example, minute-level data, hour-level data, daily data, monthly data, etc. The geographical scope, for example, transformer areas, communities, streets, cities, provinces, etc.

[0066] Exemplarily, according to the power data processing requirements, obtain power system data corresponding to the time span and geographical scope corresponding to the power data processing requirements from a local database, a data acquisition system, an energy management system, a third-party data provider, etc.

[0067] S102. According to the data statistical analysis requirements, classify the power system data to obtain the target data required for different data statistical analysis requirements. The data statistical analysis requirements include fault impact analysis requirements, annual outage assistance analysis requirements, digital analysis requirements for power supply stations, and medium-voltage single-map analysis requirements.

[0068] It can be understood that different requirements for data statistical analysis have different requirements for data, and the required data characteristics are different. Based on the classification rules, target data that meets the requirements of each data statistical analysis is screened from the power system data. Optionally, the target data can also be structured to facilitate statistical analysis.

[0069] Exemplarily, the target data for fault impact analysis requirements includes fault event data (fault time, location, type, equipment ID, etc.), impact scope data (affected feeders, number of users, geographical coordinates of the power outage area, etc.), restoration process data (power outage duration, power restoration time, etc.), and equipment health data (maintenance records, aging degree, operation history of faulty equipment, etc.); the target data for annual power outage auxiliary analysis requirements includes power outage statistical historical data (annual number of power outages, power outage type, power outage reason, etc.), regional distribution data (line, seasonal distribution, etc.), and user impact data (complaint records, number of affected users, etc.); the target data for digital analysis requirements of power supply stations includes equipment ledger data (number of distribution transformers, equipment models, etc.), energy efficiency data (load rate of distribution transformers, power supply reliability index, line loss rate, etc.), and user service data (business expansion situation, number of electricity users handling capacity increase business, number of electricity users with power cutover, etc.); the target data for medium-voltage single-map analysis requirements includes power grid topology data (medium-voltage line connection relationship, switch status, ring main unit location, etc.), equipment status data (health status of distribution transformers, number of switch operations, etc.), and real-time operation data (load rate, three-phase current, power, etc.).

[0070] S103. Conduct data statistical analysis on the target data according to the corresponding data statistical analysis requirements to obtain the statistical analysis results corresponding to the data statistical analysis requirements.

[0071] Exemplarily, during fault impact analysis, regression analysis method is used to analyze the restoration efficiency, and the relationship between power outage duration and emergency repair response time is analyzed. For example, the obtained statistical analysis result is that for every 10-minute delay in response time, the power restoration time increases by 25%. During annual power outage auxiliary analysis, the reliability of power outage plans for each district bureau and power supply station is calculated from the unit dimension, including the number of feeders, number of power outage items, number of affected user items, number of major items, number of medium-voltage households, number of low-voltage households, medium-voltage time household numbers, low-voltage time household numbers, medium-voltage hours, low-voltage hours, number of users with repeated power outages, etc.; during digital analysis of power supply stations, for example, according to the distribution transformer ID, the electricity users affected by business expansion in the past year in the substation area are queried to form a business list, and the business expansion list includes business type, business date, user number, user name, user type, voltage level, contract capacity, operating capacity, etc.; during medium-voltage single-map analysis, for example, according to the equipment health status, the problem details of old and damaged equipment are counted and the following fields are displayed: full equipment path, equipment name, equipment category, commissioning date, operating status, voltage level, name of property rights unit, name of operation and maintenance unit, name of affiliated unit.

[0072] It should be noted that in the embodiments of this application, there is no limitation on how to perform data statistical analysis specifically. The above is only an example.

[0073] S104. According to the statistical analysis results, automatically summarize the overall characteristics, rules, and abnormal conditions of the power system data within the geographical scope and time span, and form a power system analysis report to provide a basis for the operation, maintenance, and optimization of the power system.

[0074] For example, first perform structured processing on the statistical analysis results, store the data in a database or data warehouse in a specific format for easy induction and analysis. At the same time, integrate the information of different statistical analysis results and use preset algorithms for comprehensive induction.

[0075] When automatically summarizing the overall characteristics, a clustering algorithm in the spatial dimension (such as the density-based clustering algorithm (Density-Based Spatial Clustering of Applications with Noise, DBSCAN)) can be used to cluster the regional load density / failure rate. A decomposition algorithm in the time dimension (such as the decomposition method of time series analysis) can also be used to decompose the load time series data. For example, the summarized characteristic is that "the annual load peak shows a bimodal feature (13:00 in summer / 19:00 in winter)". When automatically summarizing the rules, association rule mining can be used, such as using the Apriori algorithm to discover strong associations between equipment attributes and failures.

[0076] After the induction is completed, charts or heat maps can also be automatically generated and displayed in the power system analysis report, so as to efficiently generate a structured analysis report.

[0077] Optionally, after automatically summarizing and forming a power system analysis report, the accuracy of the automatic summarization results can also be verified according to the actual operation data of the power system.

[0078] It should be noted that the power data processing method is applied to a power data processing system, and the power data processing system can provide a visual front-end interface to facilitate staff to intuitively view the data statistical results and statistical analysis results from the front-end interface.

[0079] In the embodiments of the present application, by classifying the obtained power system data, irrelevant data is avoided during statistical analysis, improving the statistical analysis efficiency and enhancing the result accuracy. Perform data statistical analysis on the target data according to the corresponding data statistical analysis requirements, and realize data statistical analysis from multiple different dimensions, so as to obtain multi-dimensional statistical analysis results, provide comprehensive data insights for the operation of the power system, and be able to more accurately reveal the operation trend and periodic changes of the power system, thereby improving the reliability of the power system analysis report, providing reliable data support for the management of the power system, and further improving the reliability and efficiency of power system management. In addition, based on the statistical analysis results, an analysis report of the power system is automatically summarized, improving efficiency and enhancing user satisfaction.

[0080] In some embodiments, the data statistical analysis corresponding to the fault impact analysis requirements includes: determining the faulty substation area and faulty switch based on the target data required for the fault impact analysis requirements; determining the equipment basic information corresponding to the faulty substation area according to the substation area identifier of the faulty substation area; according to the switch identifier of the faulty switch, determining the distribution transformer location corresponding to the faulty switch, the faulty substation area and the powered-off substation area under the switch, the substation area fault duration, and the switch power-off duration; on the distribution network map, marking the faulty substation area, the faulty switch, the equipment basic information, as well as the distribution transformer location corresponding to the faulty switch, the faulty substation area and the powered-off substation area under the switch, the substation area fault duration, and the switch power-off duration, to obtain the statistical analysis result corresponding to the fault impact analysis requirements.

[0081] Among them, a substation area refers to a power supply area composed of a distribution transformer (also simply referred to as a distribution transformer) and its supporting low-voltage lines, user electricity meters and other equipment. It is the smallest power supply management unit in the distribution network, usually covering users in a community, village or a specific area. A switch is an electrical device used to connect, disconnect a circuit or change the circuit connection mode in the power system. According to different functions, it can be divided into multiple types (such as load switches, disconnecting switches, circuit breakers, etc.).

[0082] Switch failures may involve abnormal current, switch state changes, etc., while substation area failures may be more voltage abnormalities, increased line losses, three-phase imbalance, etc. For example, by setting corresponding threshold rules, the faults of switches and substation areas can be determined. For example, by analyzing the current upstream and downstream of the switch, if the current suddenly increases (for example, exceeds the rated value by 3-5 times), it can be determined that the switch is a faulty switch. Judging the voltage data corresponding to the substation area in the target data, if it continuously falls below or above the voltage threshold and the duration exceeds the time threshold, it can be determined that the substation area is a faulty substation area.

[0083] For example, based on the substation ID of the faulty substation area, perform a substation ID index in the target data to obtain the device basic information corresponding to this substation ID. Based on the switch ID of the faulty switch, perform a switch ID index in the target data to obtain the distribution transformer location corresponding to this switch ID, the faulty substation areas and power outage substation areas under the switch, the substation area fault duration, and the switch power outage duration.

[0084] The power data processing system can integrate a geographic information system and, combined with data visualization technology, display the distribution network map on the front-end interface of the power data processing system. Staff can perform interactive operations on this distribution network map. For example, when clicking on a switch on the map, display the distribution transformer location affected by this switch, display the detailed list of faulty substation areas under the switch, etc. The faulty substation areas, faulty switches, device basic information, and the distribution transformer location corresponding to the faulty switch, the faulty substation areas and power outage substation areas under the switch, the substation area fault duration, and the switch power outage duration can be viewed through the distribution network map.

[0085] In the embodiment of the present application, through performing data statistical analysis corresponding to the fault impact analysis requirements on the target data and displaying the faulty substation areas through the distribution network map, it enables staff to quickly locate the faulty substation areas. The distribution network map automatically displays the statistical information related to the faulty substation areas and faulty switches, facilitating staff to further view the detailed information of affected users and analyze the affected area range, assisting staff in comprehensively evaluating the impact of the fault and quickly formulating countermeasures to improve the fault handling efficiency and reduce the fault power outage time, ensuring the rapid restoration of power supply.

[0086] In some embodiments, the data statistical analysis corresponding to the annual power outage assistance requirements includes: based on the target data required for the annual power outage assistance analysis requirements, perform a switch search for the target construction location to obtain multiple switches corresponding to the target construction location; based on the multiple switches and the target data required for the annual power outage assistance analysis requirements, analyze the power outage impact range and determine the switch with the smallest power outage impact range as the power outage switch; based on the power outage switch and the target data required for the annual power outage assistance analysis requirements, analyze the minimum number of repeated power outages and the minimum number of construction times to obtain the power outage plan corresponding to the target construction location; according to the power outage plan, determine the statistical analysis result corresponding to the annual power outage assistance analysis requirements; on the distribution network management platform, display the power outage plan.

[0087] Exemplarily, using a search algorithm (such as breadth - first search algorithm, depth - first search algorithm), traverse and search in the power grid topology data according to the coordinates of the target construction site to determine the switch location associated with the target construction site, so as to obtain multiple switches corresponding to the target construction site. For each switch among the multiple switches, obtain all the users downstream of the switch from the target data, sort them in ascending order of the influence range (the more downstream users, the greater the power outage impact), and preferentially select the switch with fewer total users and fewer important users as the power outage switch. Further, according to a combinatorial optimization algorithm, such as a greedy algorithm, a genetic algorithm, with the objective function of minimizing the number of repeated power outages and construction times, the power outage plan corresponding to the target construction site can be obtained through multiple iterative optimizations. The power outage plan is not limited to including basic information fields such as substations, line names, construction sites, voltage levels, power outage switches, etc. By further statistically analyzing the power outage plan, for example, statistically analyzing the planned reliability of each district bureau and power supply station according to the construction category, including construction category, number of power outage items, number of affected user items, proportion of affected users, power outage time - user hours, number of major items, major time - user hours, etc., a statistical analysis result can be obtained.

[0088] Visualize the power outage plan for easy intuitive viewing by the staff.

[0089] Compared with the manual analysis of power outage data, which is prone to the problem of repeated power outages for users due to incomplete manual consideration, the power outage plan provided by the embodiments of the present application can reduce the time - user hours and the number of power outages affected by the power outage plan through intelligent statistical analysis of the target data, improving the user experience and satisfaction.

[0090] In some embodiments, the data statistical analysis corresponding to the digital analysis requirements of the power supply station includes: based on the target data required for the digital analysis requirements of the power supply station, respectively determine the overload data, the first electricity user information, and the second electricity user information affected by the distribution transformer business expansion corresponding to the distribution transformer identification information; determine the statistical analysis result corresponding to the digital analysis requirements of the power supply station according to the overload data, the first electricity user information, and the second electricity user information; and display the statistical analysis result in a visual chart.

[0091] Exemplarily, the heavy / overload data is not limited to including data on the load side (such as load, load rate, heavy load, overload, reasons for heavy load, reasons for overload, etc.), three-phase unbalance information, and the number of adjacent public transformers, etc. In the target data, search for the heavy / overload data corresponding to the distribution transformer identification information of the distribution transformer (such as the A-5# distribution transformer), and perform statistical analysis on this heavy / overload data to obtain the statistical analysis results corresponding to the heavy / overload data within the target time period. For example, query the daily heavy / overload information of the A-5# distribution transformer in the past year, and statistically generate a heavy / overload list on a monthly basis. The heavy / overload list includes the average load rate, maximum load rate, number of adjacent public transformers, number of heavy load days, number of heavy load times, heavy load minutes, reasons for heavy load, number of overload days, number of overload times, overload minutes, reasons for overload, etc. Further, based on the daily heavy / overload information, the average load rate, maximum load rate, number of overload times, overload hours, number of overload days, number of heavy load times, heavy load hours, number of heavy load days, and number of three-phase unbalance times (including general unbalance and severe unbalance, etc.) for each month in the past year can be statistically calculated and presented through a visualization chart.

[0092] The first electricity user information can be understood as the electricity user information not affected by the distribution transformer business expansion. According to the distribution transformer identification information (such as the distribution transformer ID), query the first electricity user information within the area of the substation corresponding to this distribution transformer ID in the target data. The first electricity user information includes user number, user name, user type, voltage level, contract capacity, operating capacity, etc. Further, based on the electricity user information of the substation, the number of electricity users and the total installed capacity can be statistically calculated according to the user type and voltage level to obtain the statistical analysis results corresponding to the first electricity user information, and presented through a visualization chart.

[0093] Distribution transformer business expansion usually refers to the business expansion of distribution transformers, which generally involves the increase or adjustment of the transformer capacity in the distribution network of power enterprises to meet the growing power demand of users. The business expansion process may include the installation of new transformers, the replacement or upgrade of existing transformers, and the renovation of related distribution facilities.

[0094] Exemplarily, according to the distribution transformer identification information (such as the distribution transformer ID), query the second electricity user information affected by the business expansion of the substation corresponding to this distribution transformer ID within the target time period in the target data to form a business list. The business list includes business type, business date, user number, user name, user type, voltage level, contract capacity, operating capacity, etc. Further, based on the business list, the number of newly installed users, the total installed capacity of newly installed users, the number of electricity users handling capacity increase business, and the number of electricity users with power cutover in the substation can be statistically calculated on a monthly basis to obtain the statistical analysis results corresponding to the second electricity user information, and presented through a visualization chart.

[0095] Optionally, the statistical analysis results can also be saved as an Excel file, and the export function is supported.

[0096] In the embodiments of the present application, based on the target data, the load of the distribution transformer, the user composition, and the distribution transformer business expansion are automatically analyzed. Compared with manual statistical analysis, the statistical analysis process is simplified, and the efficiency and accuracy of data processing are improved. Visual chart display of the statistical analysis results enables the staff to quickly and comprehensively master key data such as the load, user classification, and application for installation in the substation area, providing strong data support for business decision-making, thereby accelerating the optimization of the business process and improving the decision-making quality.

[0097] In some embodiments, the data statistical analysis corresponding to the medium-voltage single-map analysis requirement includes: determining the power equipment problems corresponding to multiple feeders covered by the target area based on the target data required for the medium-voltage single-map analysis requirement; classifying and statistically analyzing the power equipment problems according to the problem types to obtain the target power equipment problems corresponding to different problem types under each feeder; and visually displaying the target power equipment problems to obtain the statistical analysis results corresponding to the medium-voltage single-map analysis requirement.

[0098] Among them, a feeder generally refers to the line from the substation to the distribution transformer, and the feeder is responsible for delivering power to each user or device. Multiple devices may be connected under each feeder, such as transformers, circuit breakers, disconnectors, etc. These devices may have various problems during operation, such as faults, aging, overload, etc.

[0099] Exemplarily, the power equipment connected under each feeder and the power equipment problems are statistically grouped based on the feeder name. The problem types include potential hazards, dilapidation, defects, heavy overload, low voltage, faults, user complaints, and power outage times. For each feeder, the target power equipment problems corresponding to different problem types are visually displayed respectively. For example, on the front-end interface of the power data processing system, relevant personnel can click on the relevant area (such as a certain data or element) of the single-line diagram on the front-end interface to view the detailed power equipment problems. As an example, clicking on the drilled-down potential hazard equipment details on the single-line diagram corresponding to the feeder FDR-101 can trigger the acquisition of the potential hazard equipment details and display the following fields: full path of the equipment, equipment type, potential hazard list code, voltage level, main and distribution network identification, potential hazard name, potential hazard description, potential hazard location, potential hazard level, and potential hazard consequence event.

[0100] In the embodiments of the present application, by classifying and statistically analyzing the power equipment problems under each feeder and visually displaying them, the workload of manual statistics for the staff is reduced, and the efficiency is improved. In addition, visual display of the statistical analysis results is convenient for intuitively grasping the line problem situation and better managing the power system.

[0101] In some embodiments, according to the requirements of data statistical analysis, the power system data is classified, including: cleaning the power system data to obtain the cleaned data, and the data cleaning includes missing value processing, outlier detection, and duplicate data processing; performing unified data format processing on the cleaned data to obtain the unified processed data; and classifying the unified processed data according to the requirements of data statistical analysis.

[0102] Among them, the missing value processing includes filling or deleting the missing data (such as filling the missing load value with the average load of similar devices). The outlier detection includes eliminating unreasonable data (such as the current value exceeding 10 times the rated value of the device). The duplicate data processing includes deleting duplicate data or data merging. The unified data format includes, for example, standardizing the time stamp (such as unifying it to UTC time), the device ID naming rule (such as F1-Transformer-001), etc.

[0103] Classifying the unified processed data according to the requirements of data statistical analysis can be referred to as described in step S102, which will not be elaborated here.

[0104] In the embodiments of the present application, by cleaning the power system data and performing unified data format processing, the data quality is improved. The high-quality data supports more accurate statistical analysis and improves the accuracy of statistical analysis. In addition, the data with unified format simplifies the analysis process, reduces the time for data conversion and preprocessing, and improves the data processing efficiency.

[0105] Figure 2 It is a schematic structural diagram of the power data processing system provided by the embodiments of the present application, as Figure 2 shown, the power data processing system 20 includes an acquisition module 21, a classification module 22, a statistics module 23, and a generalization module 24. Among them:

[0106] The acquisition module 21 is used to acquire the power system data corresponding to the time span and geographical scope corresponding to the power data processing requirements according to the power data processing requirements;

[0107] The classification module 22 is used to classify the power system data according to the requirements of data statistical analysis to obtain the target data required for different data statistical analysis requirements. The data statistical analysis requirements include fault impact analysis requirements, annual power outage auxiliary analysis requirements, digital analysis requirements of power supply stations, and medium-voltage one-map analysis requirements;

[0108] The statistics module 23 is used to perform data statistical analysis on the target data corresponding to the data statistical analysis requirements to obtain the statistical analysis results corresponding to the data statistical analysis requirements;

[0109] An induction module 24, configured to automatically induce the overall characteristics, rules, and abnormal conditions of the power system data within the geographical scope and time span according to the statistical analysis results, and form a power system analysis report, so as to provide a basis for the operation, maintenance, and optimization of the power system.

[0110] In a possible implementation manner, the statistical module 23 is specifically configured to: determine a faulty substation area and a faulty switch based on the target data required for the fault impact analysis requirement; determine the device basic information corresponding to the faulty substation area according to the substation area identifier of the faulty substation area; determine the distribution transformer location corresponding to the faulty switch, the faulty substation areas and the power outage substation areas subordinate to the switch, the substation area fault duration, and the switch power outage duration according to the switch identifier of the faulty switch; mark the faulty substation area, the faulty switch, the device basic information, as well as the distribution transformer location corresponding to the faulty switch, the faulty substation areas and the power outage substation areas subordinate to the switch, the substation area fault duration, and the switch power outage duration on the distribution network map to obtain the statistical analysis result corresponding to the fault impact analysis requirement.

[0111] In a possible implementation manner, the statistical module 23 is further configured to: search for switches at the target construction location based on the target data required for the annual power outage auxiliary analysis requirement to obtain multiple switches corresponding to the target construction location; analyze the power outage impact range based on the multiple switches and the target data required for the annual power outage auxiliary analysis requirement, and determine the switch with the smallest power outage impact range as the power outage switch; analyze the minimum number of repeated power outages and the minimum number of construction times based on the power outage switch and the target data required for the annual power outage auxiliary analysis requirement to obtain the power outage plan corresponding to the target construction location; determine the statistical analysis result corresponding to the annual power outage auxiliary analysis requirement according to the power outage plan; and display the power outage plan on the distribution network management platform.

[0112] In a possible implementation manner, the statistical module 23 is further configured to: based on the target data required for the digital analysis requirement of the power supply station, respectively determine the heavy overload data, the first electricity user information, and the second electricity user information affected by the distribution transformer business expansion corresponding to the distribution transformer identification information; determine the statistical analysis result corresponding to the digital analysis requirement of the power supply station according to the heavy overload data, the first electricity user information, and the second electricity user information; and perform a visual chart display on the statistical analysis result.

[0113] In a possible implementation manner, the statistical module 23 is further configured to: determine the power equipment problems corresponding to multiple feeders covered by the target area based on the target data required for the medium-voltage single map analysis requirement; classify and count the power equipment problems according to the problem type to obtain the target power equipment problems corresponding to different problem types under each feeder; and perform a visual display on the target power equipment problems to obtain the statistical analysis result corresponding to the medium-voltage single map analysis requirement.

[0114] In a possible implementation manner, the classification module 22 is specifically configured to: perform data cleaning on the power system data to obtain the cleaned data, where the data cleaning includes missing value processing, outlier detection, and duplicate data processing; perform data format standardization processing on the cleaned data to obtain the standardized data; and classify the standardized data according to the data statistical analysis requirements.

[0115] It should be noted that the statistics module may further include a fault impact analysis module, an annual power outage assistance analysis module, a digitalization module for power supply stations, and a medium-voltage single map module. The fault impact analysis module is used to perform data statistical analysis for the data statistical analysis requirements of fault impact analysis on the target data. The annual power outage assistance analysis module is used to perform data statistical analysis for the data statistical analysis requirements of annual power outage assistance analysis on the target data. The digitalization module for power supply stations is used to perform data statistical analysis for the data statistical analysis requirements of digitalization analysis of power supply stations on the target data. The medium-voltage single map module is used to perform data statistical analysis for the data statistical analysis requirements of medium-voltage single map analysis on the target data.

[0116] Next, through Figure 3 、 Figure 4 、 Figure 5 and Figure 6 , the fault impact analysis module, the annual power outage assistance analysis module, the digitalization module for power supply stations, and the medium-voltage single map module will be further described.

[0117] Figure 3 FIG. Figure 3 shows a schematic structural diagram of the fault impact analysis module provided by an embodiment of the present application. As shown in

[0118] Among them, the management fault sub-module includes: a regional batch selection unit, which is used to screen the substation area data in the device list corresponding to the selected area when drawing a circle on the map and store the substation area data in the to-be-confirmed fault list. The fault substation confirmation unit is used to list the fault substations selected in batches or point by point, and after the user confirms, update the fault substations to the fault substation list. The imported fault substation unit is used to import the fault substations through the set import template. The imported fields include the fault substations and the discovery date, and unique verification is performed on the fault substations. The device details unit of the fault substation is used to display the device basic information and the problem history found in the fault substation.

[0119] The fault impact analysis sub-module includes: a switch impact ranking unit for presenting the fault switches in the whole region and ranking them according to the fault distribution transformers and the power outage distribution transformers; an affected distribution transformer analysis unit for showing the location of the distribution transformers affected by the switch when the switch is selected on the map. Detail list display - fault distribution transformer list unit for presenting the detailed list of fault distribution transformers under the switch. Detail list display - power outage distribution transformer list unit for presenting the detailed list of power outage distribution transformers under the switch; a distribution transformer fault duration statistics unit for analyzing the fault duration of the distribution transformer and the affected fault scope, including but not limited to the distribution transformer name, fault duration, total number of distribution transformers, total number of key users, number of affected distribution transformers, and number of affected fault users. A switch power outage duration statistics unit for analyzing the power outage scope and power outage distribution transformers affected by the switch, including but not limited to the switch name, total number of distribution transformers, power outage distribution transformers, total number of power outage users, and total number of users in the power outage area.

[0120] Figure 4 The structural schematic diagram of the annual power outage auxiliary analysis module provided by the embodiment of the present application is as Figure 4 shown. The annual power outage auxiliary analysis module includes a feeder plan compilation sub-module, a power outage plan management sub-module, an algorithm engine sub-module, and an annual plan analysis sub-module.

[0121] Among them, the feeder plan compilation sub-module is used to provide the statistical view of the feeder plan and the function of entering maintenance equipment. Specifically, it can include a feeder power outage plan view unit for searching for feeders according to the year and power supply station and presenting the plan information of the feeders. A single-line diagram selection function unit for configuring the construction location of the feeder through the single-line diagram. A maintenance information entry function unit for entering the expected construction time and construction duration for the construction location.

[0122] The power outage plan management sub-module is used to provide functions for editing and viewing power outage plans, schedules, and switch combinations. Specifically, it can include a power outage plan viewing unit, which is used to display the construction locations corresponding to the power outage plan on the single-line diagram and display the display icons of major power outages, repeated power outages, and transfer and protection on the power outage plan list. The feeder power outage plan list unit is used to display the feeder power outage plan list, including but not limited to fields such as the affiliated status, release status, plan name, and number of construction locations. The feeder power outage schedule list unit is used to display the monthly power outage schedule list of the power outage plan, including but not limited to fields such as month, number of construction locations, number of medium-voltage users, and low-voltage time households. The system-recommended switch combination unit is used to search for switches at the construction locations through the power outage plan automation generation engine, automatically adapt the power outage switches according to the power outage switch calculation engine, and provide a plan optimization recommendation with the minimum impact range, the fewest repeated power outages, and the fewest construction times. The manual configuration switch combination unit is used to respond to the business personnel's self-customized adjustment of the power outage switch plan arrangement, generate a manually defined power outage plan, and display both the manually defined power outage plan and the system-generated power outage plan in the power outage plan list for plan viewing and comparison; the power outage plan release unit is used to select the optimal power outage plan for release and determine it as the power outage plan version that can be exported to the power grid management platform. The power outage schedule viewing unit is used to display the list of power outage construction locations within the month, as well as the list and combination scores of the system-recommended switch combinations. The basic information viewing unit is used to display the basic information of the power outage plan, including but not limited to the following fields: substation, line name, construction location, voltage level, and power outage switch.

[0123] The algorithm engine sub-module is used to provide an algorithm engine for assisting in recommending the annual power outage plan. Specifically, it can include a power outage impact range analysis engine unit, a power outage plan automation generation engine unit, and a minimum impact range algorithm recommendation engine unit.

[0124] The annual plan analysis sub-module is used to provide statistical analysis functions for the annual power outage plan. Specifically, it can include a power outage plan statistics unit at the unit dimension, which is used to statistically analyze the plan reliability of each district bureau and power supply station by unit, including the number of feeders, the number of power outage items, the number of affected users, the number of major items, the number of medium-voltage households, the number of low-voltage households, the medium-voltage time households, the low-voltage time households, the medium-voltage hours, the low-voltage hours, the number of repeated power outage households, etc.; the power outage plan statistics unit at the work category dimension, which is used to statistically analyze the plan reliability of each district bureau and power supply station by work category, including the work category, the number of power outage items, the number of affected users, the proportion of affected users, the power outage time households, the number of major items, the major time households, etc.; the power outage plan list unit, which is used to display the power outage plan, and display the affiliated power supply station, substation name, line name, construction location, power outage switch, power outage month, number of repeated power outage households, and whether it is a major power outage field of the power outage plan; the power outage plan details unit, which is used to display the details of the power outage plan list.

[0125] Figure 5 This is a schematic structural diagram of the digital module of the power supply station provided by the embodiment of the present application. As Figure 5 described, the digital module of the power supply station includes a feeder load statistics sub-module, a distribution transformer load statistics sub-module, a distribution transformer load analysis sub-module, a distribution transformer business expansion analysis sub-module, and a distribution transformer user composition analysis sub-module.

[0126] Among them, the feeder load statistics sub-module is used to count the number of distribution transformers by feeder, count the heavy overload situation of all distribution transformers according to the heavy overload type, and simultaneously count the average load rate in sections. Specifically, it may include a feeder load statistics list unit, which is used to count the number of distribution transformers by feeder with the data from marketing business expansion and the load monitoring of the production command center as the data source, count the heavy overload situation of all distribution transformers according to the heavy overload type, and simultaneously count the average load rate in sections. A feeder load statistics export unit, which is used to export the query results of the feeder distribution transformer statistics list and write them into Excel.

[0127] The distribution transformer load statistics sub-module is used to count information such as the number of electricity users, load rate, heavy overload, etc. within a certain date range by transformer, and simultaneously count the number of distribution transformers within 1 kilometer. Specifically, it may include a distribution transformer load statistics list unit, which is used to count information such as the number of electricity users, load rate, heavy overload, etc. within a certain date range by transformer with the data from marketing business expansion and the load monitoring of the production command center as the data source, and simultaneously count the number of distribution transformers within 1 kilometer. A distribution transformer load statistics export unit, which is used to export the query results of the distribution transformer load statistics list and write them into Excel.

[0128] The distribution transformer load analysis sub-module is used to conduct multi-dimensional load condition analysis for the substation area. Specifically, it can include a monthly overload list unit for distribution transformers, which is used to query the overload information of each day in the past year for the substation area based on the distribution transformer ID, and statistically generate an overload list on a monthly basis, including average load rate, maximum load rate, number of adjacent public transformers, number of heavy load days, number of heavy load times, heavy load minutes, reasons for heavy load, number of overload days, number of overload times, overload minutes, reasons for overload, etc. The monthly load trend unit is used to statistically calculate the average load rate and maximum load rate of each month in the past year based on the daily overload information of the substation area and display them in a visual chart. The monthly three-phase imbalance trend unit is used to statistically calculate the number of three-phase imbalance times of each month in the past year based on the daily overload information of the substation area, including general imbalance and severe imbalance, and display them in a visual chart. The monthly heavy load statistics unit is used to statistically calculate the number of heavy load times, heavy load hours, and heavy load days of each month in the past year based on the daily overload information of the substation area and display them in a visual chart. The monthly overload statistics unit is used to statistically calculate the number of overload times, overload hours, and overload days of each month in the past year based on the daily overload information of the substation area and display them in a visual chart. The heavy overload reason analysis unit is used to statistically calculate the number of heavy overload times of each month in the past year according to the heavy overload reasons based on the daily overload information of the substation area and display them in a visual chart; the monthly overload export unit for distribution transformers is used to export the query results of the monthly overload list for distribution transformers and write them into Excel.

[0129] The distribution transformer new business expansion analysis sub-module is used to conduct multi-dimensional new business expansion condition analysis for the substation area. Specifically, it can include a new business expansion list unit, which is used to query the electricity users affected by the new business expansion in the substation area in the past year based on the distribution transformer ID, and form a business list, including business type, business date, user number, user name, user type, voltage level, contract capacity, operating capacity, etc. The new user trend analysis unit is used to statistically calculate the number of newly installed users on a monthly basis based on the business list and display the detailed data of the newly installed users through a visual chart. The new installation capacity trend analysis unit is used to statistically calculate the total declared capacity of the newly installed users on a monthly basis based on the business list and display the capacity detailed data of the newly installed users through a visual chart. The user capacity increase trend analysis unit is used to statistically calculate the number of electricity users handling capacity increase business on a monthly basis based on the business list and display the detailed data of the user capacity increase through a visual chart. The user cutover details unit is used to statistically calculate the number of electricity users with electricity cutover in the substation area on a monthly basis based on the business list and display it through a visual chart. The new business expansion export unit is used to export the query results of the new business expansion list and write them into Excel.

[0130] The distribution transformer user composition analysis sub-module is used for multi-dimensional analysis of user composition for the substation area. Specifically, it can include a distribution transformer user list unit, which is used to query the electricity user information in the substation area according to the distribution transformer ID, including user number, user name, user type, voltage level, contract capacity, operating capacity, etc. A user distribution statistics unit, which is used to count the number of electricity users and the total installed capacity according to the user type and voltage level based on the electricity user information in the substation area, and provide a visual chart for viewing. A distribution transformer user export unit, which is used to export the query results of the substation area user list and write them into Excel.

[0131] In the embodiment of the present application, by applying the digital module of the power supply station to data statistical analysis, data fusion based on the basic information of the substation area, detailed load records, incremental business expansion user lists, and historical fault problems can be realized, and in-depth combined analysis can be carried out. Through special topic displays, such as line loss analysis, load analysis, business expansion trend analysis, etc., the work efficiency of the business team of the power supply station in processing massive data and analyzing complex problems can be effectively improved.

[0132] Figure 6 It is a schematic structural diagram of the medium-voltage single map module provided by the embodiment of the present application. As Figure 6 shown, the medium-voltage single map module includes a feeder analysis report sub-module, a medium-voltage single map sub-module, and a single-line diagram analysis sub-module.

[0133] Among them, the feeder analysis report sub-module is used to conduct comparative analysis of feeders and display detailed information on potential hazards, dilapidation, defects, faults, heavy overloads, low voltages, power outage times, and user complaints through the drill-down function. Specifically, it can include a feeder comparative analysis unit, which is used to provide comparative details for all feeders in the current area and compare the occurrence of each type of problem. The drill-down display unit for detailed information on potential hazards of equipment is used to provide a detailed display of the problems of hazard-prone equipment. The equipment details can be drilled down and clicked to display the following fields: full equipment path, equipment type, hazard list code, voltage level, main and distribution network identifier, hazard name, hazard description, hazard location, hazard level, and hazard consequence event. The drill-down display unit for detailed information on dilapidated equipment is used to provide a detailed display of the problems of dilapidated equipment. The equipment details can be drilled down and clicked to display the following fields: full equipment path, equipment name, equipment category, commissioning date, operating status, voltage level, property rights unit name, operation and maintenance unit name, and affiliated unit name. The drill-down display unit for detailed information on equipment defects is used to provide a detailed display of the problems of defective equipment. The equipment details can be drilled down and clicked to display the following fields: full equipment path, functional location, equipment name, equipment category, defect code, defect discovery time, defect description, defect level, major professional category, defect list status, and voltage level. The drill-down display unit for detailed information on faulty equipment is used to provide a detailed display of the problems of faulty equipment. The equipment details can be drilled down and clicked to display the following fields: full equipment path, tripping switch name, full path of the tripping switch, fault occurrence time, equipment model, name of the substation to which the faulty equipment belongs, name of the municipal bureau, name of the district bureau to which the faulty equipment belongs, name of the power supply station to which the faulty equipment belongs, fault cause, and fault location. The drill-down display unit for detailed information on heavy overloads is used to provide a detailed display of the problems of heavily overloaded equipment. The equipment details can be drilled down and clicked to display the following fields: full equipment path, power supply station, substation name, feeder name, transformer name, public / private transformer identifier, transformer type, heavy overload situation, whether it is reverse heavy overload, number of heavy load days, cumulative heavy load time (minutes), number of overload days, cumulative overload time (minutes), maximum load rate, time of occurrence of the maximum load rate, A / B / C phase current (A) (average current) at the maximum load rate, maximum three-phase unbalance A / B / C phase current A, and whether it is regular. The drill-down display unit for detailed information on low voltages is used to provide a detailed display of the problems of low-voltage equipment. The equipment details can be drilled down and clicked to display the following fields: full equipment path, substation, 10kV line, distribution transformer, number of users, minimum voltage, month of occurrence of the minimum voltage, maximum number of low-voltage users within the current year, month corresponding to the maximum number of low-voltage users within the current year, and low-voltage type. The drill-down display unit for detailed information on power outage times is used to provide a detailed display of the problems of power outage areas. The equipment details can be drilled down and clicked to display the following fields: full equipment path, work order number, user code, user name, power outage nature name, technical reason name, responsibility reason name, power outage equipment name, power outage end time, and power outage duration.User Complaint Details Information Drilling-down Display Unit, which is used to provide a detailed display of the problems in the user complaint substation area. It can be clicked to drill down to the device details and display the following fields: device full path, device name, work order number, acceptance time, substation area name, business type, business sub-type, urgency level, and importance level.

[0134] Medium Voltage Single Map Sub-module, which is used to query the device problems of each feeder through the map and support viewing the basic information and historical problem records of each device. Specifically, it includes a feeder query unit, which is used to query the corresponding feeder information through the organization structure / area, problem type, and problem occurrence time. A map positioning unit, which is used to mark and position the feeder, substation area, and problem device on the map and display the name. A basic information display unit for problem devices, which is used to display the device name, commissioning date, operating status, supplier, model, installation location, property rights unit, and device path. A historical problem information display unit for problem devices, which is used to display the occurrence time, type, and description of each problem of the problem device.

[0135] Single-line Diagram Analysis Sub-module, which is used to display device problems through a single-line diagram. Specifically, it includes a single-line diagram display unit, which is used to display the problem list involved under the current feeder, including the functional location name, device full path, and problem type.

[0136] In the embodiment of the present application, by applying the medium voltage single map module to data statistical analysis, graphical output of line problems is realized, enabling users at all levels to intuitively understand the occurrence of each type of line problem (including hidden dangers, aging, defects, heavy overload, low voltage, faults, complaints, power outage times) on the map and single-line diagram. This reduces the workload of manual statistics and facilitates multi-level users to dynamically master the line problem situation.

[0137] Figure 7 The structure diagram of the electronic device provided by the embodiment of the present application is as Figure 7 shown. The electronic device 70 provided in this embodiment includes: at least one processor 701 and a memory 702. Optionally, the electronic device 70 further includes a communication component 703. Among them, the processor 701, the memory 702, and the communication component 703 are connected through a bus 704.

[0138] In the specific implementation process, at least one processor 701 executes the computer execution instructions stored in the memory 702, so that at least one processor 701 executes the above method.

[0139] The specific implementation process of the processor 701 can refer to the above method embodiment, and its implementation principle and technical effect are similar, so it will not be elaborated here in this embodiment.

[0140] In the above embodiments, it should be understood that the processor may be a central processing unit (CPU for short), or other general-purpose processors, digital signal processors (DSP for short), application specific integrated circuits (ASIC for short), etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The steps of the method disclosed in combination with the invention can be directly implemented by the execution of the hardware processor, or implemented by the combination of hardware and software modules in the processor.

[0141] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include non-volatile memory (Non-volatile Memory, NVM), such as at least one disk memory.

[0142] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation, the bus in the drawings of this application is not limited to only one bus or one type of bus.

[0143] The embodiments of the present application further provide a computer program product, including a computer program, and when the computer program is executed by a processor, the above method is implemented.

[0144] The embodiments of the present application further provide a computer-readable storage medium, in which computer-executable instructions are stored, and when the processor executes the computer-executable instructions, the above method is implemented.

[0145] The above-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk or an optical disc. The readable storage medium can be any available medium accessible by a general-purpose or special-purpose computer.

[0146] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can be located in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium can also exist as discrete components in a device.

[0147] The division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Additionally, the couplings or direct couplings or communication connections shown or discussed between each other can be indirect couplings or communication connections through some interfaces, devices or units, and can be in electrical, mechanical or other forms.

[0148] The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0149] Furthermore, in each embodiment of the present invention, the functional units can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0150] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or this part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0151] Those of ordinary skill in the art will understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments; and the foregoing storage medium includes: various media such as ROM, RAM, magnetic disk, or optical disk that can store program codes.

[0152] Finally, it should be noted that: after considering the specification and practicing the invention disclosed herein, those skilled in the art will readily conceive of other embodiments of the present invention. The present invention is intended to cover any variations, uses, or adaptations of the present invention, which follow the general principles of the present invention and include common general knowledge or conventional technical means in the technical field not disclosed in the present invention. It is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

Claims

1. A method for processing power data, characterized in that: include: According to the power data processing requirements, obtaining power system data of a time span and a geographical range corresponding to the power data processing requirements; According to the data statistical analysis requirements, the power system data is classified to obtain the target data required for different data statistical analysis requirements, wherein the data statistical analysis requirements include fault impact analysis requirements, annual power outage auxiliary analysis requirements, power supply station digital analysis requirements and medium voltage one-picture analysis requirements; Performing statistical analysis on the target data in accordance with the statistical analysis requirements, and obtaining statistical analysis results in accordance with the statistical analysis requirements; Based on the statistical analysis results, the overall characteristics, laws and abnormal conditions of the power system data in the geographical area within the time span are automatically summarized to form a power system analysis report to provide a basis for power system operation, maintenance and optimization.

2. The power data processing method according to claim 1, characterized in that: The data statistical analysis corresponding to the fault impact analysis requirements includes: Determine the fault area and the fault switch based on the target data required for the fault impact analysis requirement; Determine basic equipment information corresponding to the faulty station area according to the station area identification of the faulty station area; According to the switch identification of the faulty switch, determine the location of the distribution transformer corresponding to the faulty switch, the faulty substation area and outage substation area under the switch, the fault duration of the substation area, and the outage duration of the switch; On the distribution network map, the faulty substation, the faulty switch, the basic equipment information, the location of the distribution transformer corresponding to the faulty switch, the faulty substation and outage substation under the switch, the substation fault duration, and the switch outage duration are marked to obtain the statistical analysis results corresponding to the fault impact analysis requirements.

3. The power data processing method according to claim 2, characterized in that: The statistical analysis of data corresponding to the annual power outage auxiliary demand includes: Based on the target data required for the annual power outage auxiliary analysis needs, searching for switches at the target construction site to obtain a plurality of switches corresponding to the target construction site; Analyze the power outage impact range based on the multiple switches and the target data required for the annual power outage auxiliary analysis needs, and determine the switch with the smallest power outage impact range as the power outage switch; Based on the target data required for the power outage switch and the annual power outage auxiliary analysis needs, the minimum number of repeated power outages and the minimum number of constructions are analyzed to obtain the power outage plan corresponding to the target construction site; Determine the statistical analysis results corresponding to the annual power outage auxiliary analysis needs according to the power outage plan; The power outage plan is displayed on the distribution network management platform.

4. The power data processing method according to any one of claims 1 to 3, characterized in that: The data statistical analysis corresponding to the digital analysis requirements of the power supply station includes: Based on the target data required for the digital analysis of the power supply station, according to the distribution transformer identification information of the distribution transformer, respectively determine the heavy overload data corresponding to the distribution transformer identification information, the first power user information and the second power user information affected by the distribution transformer business expansion; Determine the statistical analysis result corresponding to the digital analysis demand of the power supply station according to the heavy overload data, the first electricity user information and the second electricity user information; The statistical analysis results are visualized in charts.

5. The power data processing method according to any one of claims 1 to 3, characterized in that: The data statistical analysis corresponding to the medium voltage one-picture analysis requirement includes: Based on the target data required for medium voltage one-picture analysis, determine the power equipment problems corresponding to multiple feeders covered by the target area; According to the problem type, the power equipment problems are classified and counted to obtain the target power equipment problems corresponding to the different problem types under each feeder; The target power equipment problem is visualized to obtain statistical analysis results corresponding to the medium voltage one-picture analysis requirements.

6. The power data processing method according to any one of claims 1 to 3, characterized in that: The data classification of the power system data according to the data statistical analysis requirements includes: Performing data cleaning on the power system data to obtain cleaned data, wherein the data cleaning includes missing value processing, outlier detection and duplicate data processing; Performing data format unification processing on the cleaned data to obtain unified processed data; According to the data statistical analysis requirements, the unified processed data is classified.

7. A power data processing system, characterized in that: include: Acquisition module, preprocessing module, classification module, statistics module and induction module; among which: An acquisition module, used to acquire power system data of a time span and a geographical range corresponding to the power data processing requirements according to the power data processing requirements; A classification module is used to classify the power system data according to data statistical analysis requirements to obtain target data required for different data statistical analysis requirements, wherein the data statistical analysis requirements include fault impact analysis requirements, annual power outage auxiliary analysis requirements, power supply station digital analysis requirements and medium voltage one-picture analysis requirements; The statistical module is used to perform statistical analysis on the target data in accordance with the statistical analysis requirements, and obtain statistical analysis results in accordance with the statistical analysis requirements; The summarization module is used to automatically summarize the overall characteristics, laws and abnormal conditions of the power system data in the geographical area within the time span according to the statistical analysis results, and form a power system analysis report to provide a basis for the operation, maintenance and optimization of the power system.

8. An electronic device, characterized in that: include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 6 when executed.

10. A program product, characterized in that The invention comprises a computer program for implementing the method according to any one of claims 1 to 6 when the computer program is executed.

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