A method for automatically monitoring power system line faults

By splitting the power grid into nodes and sub-grids, monitoring and analyzing its characteristic data, the problem of not being able to identify the fault location of the power network in the prior art is solved, and higher fault identification accuracy and detection robustness are achieved.

CN116647033BActive Publication Date: 2025-03-25HANGZHOU KELIN ELECTRIC CO LTD
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Patent Information

Application Number
CN202310255210.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-03-16
Publication Date
2025-03-25
Estimated Expiration
2043-03-16

AI Technical Summary

Technical Problem

The prior art cannot effectively identify the fault location of the power network, resulting in a degradation of the grid fault monitoring and identification performance.

Method used

By splitting the power grid into several nodes and sub-grids, the characteristic data of the sub-grid is monitored, the fault sample data is recorded and time mapped, the sub-grid is analyzed and classified, and the fault node or sub-grid is located.

Benefits of technology

It improves the robustness of automatic detection of power systems and the accuracy of fault identification, reduces the number of invalid detections, and simplifies the fault location process.

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Abstract

The present invention relates to the field of power system detection, and in particular to an automatic monitoring method for power system line faults, comprising: splitting a power grid into a plurality of nodes and a plurality of subgrids; acquiring fault sample data of each subgrid, and mapping the fault sample data according to time; classifying each subgrid; analyzing the operation data of each subgrid, and recording abnormal data; determining a damaged node or a damaged subgrid according to the classification of a single subgrid; the present invention utilizes a method of collecting and classifying each fault point in the power system, and determines the fault location according to the load of the node, thereby effectively improving the accuracy of power system fault identification while effectively improving the robustness of automatic detection of the power system.
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