Skip to main content
Article thumbnail
Location of Repository

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

By Bhawna Nidhi, Ramesh Kumar and Amrita Sinha


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:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.