750 kV substation fault diagnosis based on information fusion

750kV substations have the characteristics like the complexity of main lines, twin wire dual protection configuration, the phenomena of operation rejection and misoperation of protection device and circuit breakers. Aiming at these problems, a diagnosis method of substation with redundant protection configuration is proposed based on information fusion. In this method, fault diagnosis model are established based on fuzzy petri nets (FPN) and rough sets (RS), and then, We use information fusion technology based on DS evidence theory to establish the fusion diagnosis model. The diagnosis results of FPN and RS are fused in the DS evidence theory decision level, and the accurate accurate diagnosis results can be obtained by DS decision rules. The simulation results demonstrate the effectiveness of the proposed method.