A distributed fault self-healing method suitable for active power distribution networks

By acquiring the target protection list and processing high-frequency data, the system enables rapid and accurate location and isolation of faults in active distribution networks, solving the problems of complex fault identification and large power grid losses in existing technologies, and improving fault self-healing efficiency.

CN121618399BActive Publication Date: 2026-05-29STATE GRID SHANXI ELECTRIC POWER COMPANY TAIYUAN POWER SUPPLY COMPANY +6

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
STATE GRID SHANXI ELECTRIC POWER COMPANY TAIYUAN POWER SUPPLY COMPANY
Filing Date
2026-02-03
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, active power distribution network fault location and protection suffer from a contradiction between speed and selectivity, making it difficult to adapt to complex network structures. Furthermore, the lack of generated electrical fault fingerprint features leads to complex fault identification, and the failure to update fault self-healing based on the target protection list results in significant power grid fault losses.

Method used

By acquiring the target protection list, setting up STUs for time difference monitoring and synchronization, high-frequency collection of high-frequency patrol data, performing signal smoothing processing to obtain electrical fault fingerprint feature values, performing fault isolation and island establishment, optimizing protection list updates, and adapting to extreme scenarios for mode updates.

Benefits of technology

It enables rapid and accurate location and isolation of distributed power grid faults, reduces power grid fault losses, improves fault self-healing efficiency, reduces the complexity of power grid fault identification, and adapts to complex network structures.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of power grid regulation, and more particularly to a distributed fault self-healing method suitable for active distribution network, which acquires a target protection list through step S1, calibrates the current time of STU through step S2, collects target high-frequency patrol data through step S3, performs signal smoothing processing on the target high-frequency patrol data through step S4, generates electrical fault fingerprint characteristic values through step S5, calculates fingerprint similarity through step S6, adopts a reasonable power supply mode according to the sufficiency of island available power through step S7, calibrates the accuracy requirement of time synchronization in real time when frequently updating the target protection list through step S8, and sets an extreme scenario and updates the fault self-healing mode correspondingly through step S9.
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