Early Detection of Health Condition Degradation of Circuit Breaker Based on Electrical Quantity Monitoring

Lisheng Li, Bin Wang (), Yang Liu, Haidong Yu, Shidong Zhang and Min Huang
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Lisheng Li: State Grid Shandong Electric Power Research Institute, Jinan 250003, China
Bin Wang: State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Haidian District, Beijing 100084, China
Yang Liu: State Grid Shandong Electric Power Research Institute, Jinan 250003, China
Haidong Yu: State Grid Shandong Electric Power Research Institute, Jinan 250003, China
Shidong Zhang: State Grid Shandong Electric Power Research Institute, Jinan 250003, China
Min Huang: State Grid Shandong Electric Power Research Institute, Jinan 250003, China

Energies, 2023, vol. 16, issue 14, 1-15

Abstract: Circuit breakers on the filter bank branches in converter stations are vulnerable to contact wear and mechanical deterioration caused by frequent operations, which can lead to circuit breaker breakdowns and explosions. It is imperative to conduct research on the early detection of abnormal states in circuit breakers. Existing electrical quantity-based detection methods are constrained by a priori assumptions, and their measurement methods are susceptible to interference, leading to misjudgments. To address this issue, this paper examines the influence of changes in critical breakdown field strength and contact spacing on circuit breaker operation states. It also proposes a technical scheme that employs breakdown current values to comprehensively characterize circuit breaker operation states, replacing the use of critical breakdown field strength and contact spacing. An early detection method for abnormal circuit breaker states based on a sequence of breakdown current ratios at different times is proposed, and its effectiveness is verified through simulation and field recording data.

Keywords: circuit breaker; incipient fault; breakdown current; critical breakdown field strength (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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