Fault diagnosis modeling of power systems using Petri Nets

In this paper, Petri Nets (PN) is used for accurately fault diagnosis in power systems when some incomplete and uncertain alarm information of protective relays and circuit breakers is detected. After reviewing the Petri nets theory, then, models of fault diagnosis based on PN are built, and their corresponding logical testifications are carried out. Finally, the validity and feasibility of this method is illustrated by simulation results. It is shown from several cases that the faulted system elements can be diagnosed correctly by use of these models. By proposed method, it is possible to reduce diagnosis time and increase correctness of results compared to traditional methods. It is also suitable to online applications. The proposed method can easily be adapted to different power system network configurations.