The Application of an Improved Fuzzy Petri Net Model in Fault Diagnosis of Breakers

摘要

Fast development of smart grid has made it essential to promote the intelligent level of electrical equipment. As circuit breakers is an important kind of control and protection equipment in power system, its on-line monitoring and fault diagnosis are significant parts of electrical equipment intelligence. Traditional Petri net is used to establish graph-based models to detect faults while the application of fuzzy Petri net makes decision of complex faults more accurate. In this paper, fuzzy Petri net is combined with rough set theory which is utilized to simplify the diagnosis rules. The combination of the two algorithms can not only improve diagnosis efficiency quickly but also meet the demands of on-line fault diagnosis much better. The effectiveness of theproposed method is proved by satisfactory results of field experiments.