FUZZY PETRI NETS AND ITS APPLICATION IN THE FAULT DIAGNOSIS OF ELECTRIC POWER SYSTEMS
SUN Jing, QIN Shi-yin, Song Yong-hua (Beijing University of Aeronautics and Astronautics, Beijing 100083, China; Brunel University, Uxbridge, Middlesex, UB8 3PH, UK)
In electric power systems, it is a key technical problem to deal with lots of incomplete and uncertain behavior information of relay protections and breakers so as to diagnose their faults accurately. In this paper, Fuzzy Petri Nets are employed to deal with the incomplete and uncertain information, which are characterized by their parallel processing, rapid response, and fault tolerance, so that a novel method of fault diagnosis for electric power systems is established. Based on this method a high accurate and effective fault diagnosis can be achieved. In the paper, the structure and definition of Fuzzy Petri Nets are discussed at first, then some models of fault diagnosis of power systems are built, finally, the validity and feasibility of this method are testified by simulation examples.