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

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.

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Publication Details

Journal
International Journal of Energy Technology and Policy
Published
2024-09-10
DOI
https://doi.org/10.1504/ijetp.2025.10066455
Primary Topic
Power Systems and Technologies
Type
article
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article

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

Qian Lv, Yiying Zhu, Ruiqian Su, Junyue Wu et al.
International Journal of Energy Technology and Policy
Power Systems and Technologies
article

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

Qian Lv, Yiying Zhu, Ruiqian Su, Junyue Wu, Huapeng Shan
article en

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.

International Journal of Energy Technology and PolicyVol. 20(1/2)
Guangzhou Education Bureau (CN), Dongfang Electric Corporation (China) (CN), China Southern Power Grid (China) (CN), Power Grid Corporation (India) (IN)
Affordable and clean energy
Openalex Percentile: Top 87%
Power Systems and Technologies
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