Fault Diagnosis Method of Circuit Breakers Based on Weighted Fuzzy Petri Nets

2019 4th Asia Conference on Power and Electrical Engineering

能源学;电工学

Zhang, Xiaotong^1 ; Chen, Qing^1 ; Sun, Mengxuan^1 ; Huang, Wudi^1 ; Gao, Wangyuan^2

Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University), Ministry of Education Jinan, China^1

State Grid Nanjing Power Supply Company, Nanjing, China^2

关键词: Action sequences;    Control mechanism;    Fault diagnosis method;    Fault reasons;    Fuzzy Petri nets;    Operating mechanism;    Self-healing;    Transmission mechanisms;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/486/1/012101/pdf
DOI  :  10.1088/1757-899X/486/1/012101

来源: IOP

【 摘 要 】

The maintenance and self-healing of circuit breakers are very difficult when the fault diagnosis results of circuit breakers cannot cover all kinds of fault causes. This paper proposes a method for comprehensively diagnosing circuit breaker faults. The method simulates the action process of circuit breakers based on weighted fuzzy Petri nets and makes it feasible to infer circuit breaker fault causes from different aspects. The model shows the action sequence of the circuit breaker by associating the control mechanism, the operating mechanism, the transmission mechanism and the contact part of the circuit breaker, and each part of it is described with the corresponding abnormal signals of the circuit breaker stored in the substation end. Specific fault reasons of the circuit breaker can be inferred by considering the action sequence and the relationship between the abnormal information and fault causes. The results for some test cases show that this method can obtain the diagnosis results covering various possible fault causes.