SINGLE-PHASE ADAPTIVE AUTO-RECLOSURE BASED ON FUZZY NEURAL NETWORK

Applying fuzzy neural network to single phase adaptive auto-reclosure and based on fuzzy theory and artificial neural network (ANN) a multi-input fuzzy neural network is built to distinguish transient faults from permanent faults. In this fuzzy neural network the summation of products are partly replaced by the operations of fetching maximum or minimum and the method of gaining fuzzy rules from samples is used. A lot of simulation is carried out by use of Matlab and the feasibility and accuracy of the proposed method are verified. On the basis of the simulation results the multi-input fuzzy neural network is compared with BP neural network and the superiority of applying multi-input fuzzy neural network to single phase adaptive auto-reclosure is proved.