Multiple fault diagnosis method for regional power grid based on DTS simulation system

Yiying Zhu, Ruiqian Su, Junyue Wu, Qian Lv and Huapeng Shan

International Journal of Energy Technology and Policy, 2025, vol. 20, issue 1/2, 89-94

Abstract: In order to solve the problems of high false alarm rate and long diagnostic time in existing power grid fault diagnosis methods, this paper studies a regional power grid multiple fault diagnosis method based on DTS simulation system. Firstly, use the DTS simulation system to obtain regional power grid status data. Then, effectively classify multiple faults in the power grid. Finally, based on the collected regional power grid status data and fault classification results, an ELM model is used to diagnose multiple faults in the regional power grid. According to the test results of fault diagnosis effectiveness, the false alarm rate of the proposed method has never exceeded 20%, and the average diagnostic time is 7.34 seconds, which is always less than 10 seconds. This indicates that the proposed method has high accuracy, fast efficiency, and good diagnostic effect in diagnosing multiple faults in the power grid.

Keywords: DTS simulation system; regional power grid; multiple faults; fault diagnosis; two phase short circuit; three phase short circuit. (search for similar items in EconPapers)
Date: 2025
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