Fault identification and processing method based on big data analysis

By adopting big data analysis methods in the power grid fault identification system, sorting and website building strategy optimization after identifying the faults is solved, the problem of lack of further analysis and processing of fault identification results in the existing system is solved, and the rapid response and precise positioning of power grid faults are achieved, and the reliability and management efficiency of the power grid are improved.

CN119691519AActive Publication Date: 2025-03-25GUANGXI POWER GRID CORP
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Patent Information

Application Number
CN202411859027.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-17
Publication Date
2025-03-25
Estimated Expiration
2044-12-17

AI Technical Summary

Technical Problem

The existing power grid fault identification system is limited to identifying fault results, and the lack of further analysis and processing of the identification results, resulting in managers lacking fault-based data references when making decisions.

Method used

Fault identification and processing methods based on big data analysis are adopted. After the fault identification model is identified, the fault occurrence times are sorted based on the number of faults at each collection point, the location of the fault is often detected, and the objective function is established based on the influencing factors such as the cost and distance difference of the site construction, and the objective function is solved to output the website construction strategy.

Benefits of technology

It realizes rapid response and precise positioning of power grid faults, improves the reliability and safety of the power grid, and provides a scientific basis for the maintenance and optimization of the power grid, helps managers make more reasonable decisions, and improves the efficiency and effectiveness of power grid management.

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Abstract

The invention discloses a fault identification and processing method based on big data analysis, relates to the technical field of fault identification, and solves the problems that in the prior art, fault identification only stays at the stage of obtaining an identification result, and further analysis and processing of the identification result are lacked. Therefore, the problem of lack of fault-based data reference during decision making of managers is solved. The method comprises the following steps: acquiring power data and meteorological data of each acquisition point; carrying out fault identification by using the fault identification model, recording the geographic position of the acquisition point with the identified fault, and sending out an alarm signal; sorting is carried out based on the fault occurrence frequency of each acquisition point in the period, and the fault frequent occurrence position is obtained; and finally, establishing an objective function by taking the station building cost and the distance difference as influence factors, and solving by taking the minimization of the objective function as an objective to obtain a station building strategy. Scientific basis can be provided for maintenance and optimization of the power grid, managers are helped to make more reasonable decisions, and the efficiency and effect of power grid management are improved.
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