A line loss monitoring system and method for substations based on big data

By introducing big data analysis technology into the station area line loss monitoring system, data collection, power theft assessment, operation and maintenance management and level assessment modules were established, and the existing system was unable to intelligently identify high-risk station areas and reasonably allocate maintenance resources, and efficient power theft identification and maintenance management were achieved, and the safety of the power system was improved.

CN116247819BActive Publication Date: 2025-03-25STATE GRID JIANGSU ELECTRIC POWER CO LIANYUNGANG POWER SUPPLY CO +1
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Patent Information

Application Number
CN202310157959.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-02-23
Publication Date
2025-03-25
Estimated Expiration
2043-02-23

AI Technical Summary

Technical Problem

The existing station area line loss monitoring system cannot intelligently identify station areas with high monitoring levels, cannot reasonably arrange monitoring resources, improve monitoring efficiency, and cannot formulate corresponding maintenance loss reduction strategies based on maintenance coefficients, affecting power safety.

Method used

A large data-based platform line loss monitoring system is proposed, including data acquisition module, power theft evaluation module, operation and maintenance management module, operation and maintenance tracking module and level evaluation module. Through the collaborative work of these modules, the power data and line loss data of each station area are collected and analyzed, the power theft phenomenon is evaluated, maintenance tasks are generated, maintenance resources are optimized, and monitoring level evaluation is carried out.

Benefits of technology

It realizes intelligent monitoring and management of line losses in the station area, improves the efficiency of identifying and processing power theft phenomenon, reasonably allocates maintenance resources, and improves the safety and maintenance efficiency of the power system.

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Abstract

The present invention discloses a line loss monitoring system and method for a substation based on big data, which relates to the field of electric power safety technology, and includes a data acquisition module, an electricity theft assessment module and an operation and maintenance management module; the data acquisition module is used to collect electric energy data and line loss data of each substation; the electricity theft assessment module is used to perform electricity theft assessment according to the electric energy data and line loss data of each substation, and judge whether there is electricity theft in each substation, so as to remind the administrator to perform inspection and maintenance on the substation; when receiving an electricity theft warning signal, the cloud server is also used to generate an electricity theft inspection and maintenance task to the operation and maintenance management module; the operation and maintenance management module is used to perform inspection coefficient analysis on the electricity theft inspection and maintenance task, obtain a priority processing table for the electricity theft inspection and maintenance task, and assign corresponding electric power maintenance personnel to the electricity theft inspection and maintenance task in turn according to the priority processing table; reasonably allocate resources, provide a basis for scheduling the power grid mode, and improve the inspection and maintenance efficiency of the substation.
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