Relay Protection System Fault Diagnosis Based on Particle Group Fuzzy Neural Network
Qiao Wei-de · Jiangsu Electrical Apparatus · 2008
Aiming at the characteristics and requirements of the fault diagnosis in power system relay protection system,fault intelligent diagnosis system model based on fuzzy neural network was established.The method of particle swarm optimization(PSO)algorithm com- bined with error back propagation(BP)algorithm was used to train the model network,bring full play of PSO all round optimizing ability and BP partial optimizing superiority,to raise the reliability and correctness of the diagnosis.Experimental results prove the validity of the method.