Research on Fault Assessment Method of Smart Substation Protection Equipment

Aiming at the possible failure risk of relay protection in intelligent substations, this paper proposes a new auxiliary decision-making method, which can provide accurate time reference for arranging system maintenance. Firstly, based on the sample data of the daily operation status of secondary equipment, the regression equation is calculated to estimate the model parameters and obtain the equipment failure model. Secondly, the correlation relationship between the secondary system failure and the single equipment failure is established by using the fault tree method, and the probability distribution function of the protection system operation risk is quantitatively calculated, so as to realize the risk early warning, and provide auxiliary decision-making for the system overhaul. Case study shows that using the method proposed in this paper, the system operation risk probability can be effectively calculated, which verifies the effectiveness of the method.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/citsc64390.2025.00168
Primary Topic
Power Systems Fault Detection
Type
article
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Research on Fault Assessment Method of Smart Substation Protection Equipment

Shidan Liu, Yiquan Li, Qilong Fu, Kun Liu et al.
Power Systems Fault Detection
article

Research on Fault Assessment Method of Smart Substation Protection Equipment

Shidan Liu, Yiquan Li, Qilong Fu, Kun Liu, Lin Guo, Junting Liu
article en

Abstract

Aiming at the possible failure risk of relay protection in intelligent substations, this paper proposes a new auxiliary decision-making method, which can provide accurate time reference for arranging system maintenance. Firstly, based on the sample data of the daily operation status of secondary equipment, the regression equation is calculated to estimate the model parameters and obtain the equipment failure model. Secondly, the correlation relationship between the secondary system failure and the single equipment failure is established by using the fault tree method, and the probability distribution function of the protection system operation risk is quantitatively calculated, so as to realize the risk early warning, and provide auxiliary decision-making for the system overhaul. Case study shows that using the method proposed in this paper, the system operation risk probability can be effectively calculated, which verifies the effectiveness of the method.

China Southern Power Grid (China) (CN)
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Openalex Percentile: Top 94%
Power Systems Fault Detection
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