Robust diagnosis of power system failures using discrete event system approach

Protection system failures are recognized as contributing to cascading outages in power system. With the power system becoming more and more complex it is nearly impossible to monitor and diagnose the failures manually. In this paper power system failure diagnosis is done using the discrete event system approach. Model based diagnosis in discrete event systems has gone through a lot of developments. With the advancements in sensor networks and monitoring systems, outputs related to each event are available. A modified DES modeling framework using the event based outputs is developed for power system failure diagnosis. A diagnoser is developed using this model for failure diagnosis. Robust diagnosis is considered and minimal bases diagnosers are identified.