Distinguish between fault and switching operation generated transients using a fuzzy neural network

Abstract

This paper proposes a technique for discriminating between faults and switching operations on a transmission system using a fuzzy logic controlled neural network (FCNN). In the technique, a specially designed transient detector is employed to capture the fault and switching operation induced transients. The detector outputs are used to train a fuzzy logic controlled neural network. The FCNN detects the different characteristics of switching from that of the fault. The digital modelling of typical 400 kV transmission system which includes a switching arc model is presented in the paper. The results show that the trained FCNN is able to discriminate between a fault and a switching operation under various system and fault conditions.