A hybrid wavelet singular entropy and fuzzy system based fault detection and classification on distribution line with distributed generation

This paper presents a Hybrid Wavelet Singular Entropy and Fuzzy System Based Fault Detection and Classification on Distribution Line with Distributed Generation. The scheme proposed here for fault discrimination ismainlydepends upon the measurement of three-phase current at 25kV bus of distribution line. By the use of DWT;thedetails coefficient are calculated and then the wavelet singular entropy (WSE)of each phase current signals is calculated. The WSE of each phase current are used as input to fuzzy system for classification of fault on distribution line. The simulation study of doubly feeded distribution line system consist of 120 kV, 60Hz source and 9MW wind farm connected to distribution line of 10 km. Simulation study shows that, the developed scheme works accurately for huge number of fault cases.