Abstract:
A rapid and correct fault diagnosis is crucial for power system network. As the complexity of power system increases, fault diagnosis becomes very difficult task in the limited short time. This situation has made it necessary to develop intelligent systems to support operators in their decision making process. The paper mainly investigates fault diagnosis of power system by using Fuzzy Petri Nets (FPN) technology. FPN is used for accurately fault diagnosis in power system when some incomplete and uncertain alarm information of protective relays. It is shown from several cases that the faulted system elements can be diagnosed correctly by use of these models. By suggested method, it is possible to decline diagnosis time according to traditional methods. Finally, the suggested method can easily be adapted to different power system network. It is practicable an impressive for fault diagnosis in power system.
