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Neural Network and Fuzzy Logic Based Protection of Series Compensated Double Circuit Transmission line

By Bhawna Nidhi, Ramesh Kumar and Amrita Sinha

Abstract

Main purpose of every relay is to detect and classify the fault and isolate the faulty part as soon as possible. Protective distance relays, which make use of impedance measurements in order to determine the presence and identification of faults, are not accurate to that extent after installed series capacitance on the line. In this proposed scheme, Neural network and Fuzzy logic are proposed for protection of series compensated double circuit transmission line. A Neural Network is used to estimate the actual power system condition that improves the protection system selectivity. Fuzzy logic is used for decision making that offers an appropriate tripping decision. The effect of series compensation, mutual zero-sequence coupling, remote infeed and fault resistance have been considered. Keywords- mutual coupling, series compensation, adaptive protection, artificial neural network, fuzzy logic I

Year: 2014
OAI identifier: oai:CiteSeerX.psu:10.1.1.415.940
Provided by: CiteSeerX
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