Modeling of Fault Diagnosis in Power Systems using Petri Nets

摘要

The modern power system, is vitally significant for daily life. It is a large scale dynamic system. Fault diagnosis in power systems targets at identifying the faulted components in power systems based on the information of the current status of protective relays and circuit breakers available from Supervisory Control and Data Acquisition (SCADA) systems. It is known that online automatic fault diagnosis is vital to the restorative control and as a result of tremendous significance in declining power supply interruption and enhancing service reliability, particularly for the large size power system with large numbers of Intelligent Electronic Devices (IED) [1]. Fault diagnosis ought to be executed quickly and exactly so as to isolate the faulted components from the healthy part of the system and in order to take appropriate countermeasures to recover normal power supply.