Research on the model of HV SF6 circuit breaker fault diagnosis based on fuzzy theory

Abstract

High voltage circuit breaker (HVCB) is one of the most important equipments for controlling and operating in power system. In order to increase the reliability and safety of power system, it is necessary to carry on online monitoring and failure diagnosis on HVCB. However there are many difficulties in HVCB failure diagnosis. Based on fuzzy diagnosis theory, a fault diagnosis model of high voltage SF6 circuit breaker is presented in this paper. By analyzing the frequent and common failures, this paper confirms the items of online monitoring of HVCB. Moreover, it digs the relationship between the characteristic parameters and the failures. Subsequently, this paper defines the failures array, failure symptoms array and fuzzy relational matrix. Then, it gives the optimistic fuzzy operator and diagnosis rules. For improving the veracity of fuzzy diagnosis system, this paper also proposes adaptive correction methods of the fuzzy relational matrix. The fuzzy diagnosis overcomes the difficulties that expert systems obtain knowledge, and neural networks need large numbers of data to be trained. The practical examples show that the algorithm is convenient to use, and the results are accurate. So the algorithm can be widely applied to fault diagnosis of HVCB.