Petri Net Based Intelligent Substation Fault Diagnosis

In order to further improve the effectiveness and comprehensiveness of substation fault diagnosis, this paper proposes a substation fault diagnosis method to effectively use the secondary system to monitor alarm information online. First, the original fault information received by the intelligent substation from each monitoring system is denoised. Then, the analytical model and Petri net model for the primary and the secondary system in the substation are established respectively, which are able to accurately locate the fault that may occur and obtain the reasons for the protection and switch misoperation with the secondary system diagnosis results. The case studies show that the method can identify fault elements and give detailed fault reasons under the mis-operations of protection and switch, and therefore can further optimize the substation fault diagnosis.