International Journal of Computer Science Issues

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This paper provides an overview of the fault location task by single end based impedance method in Areva relay, its challenges, and describes the best established practices for an adaptive network based fuzzy inference system (ANFIS) based approach to improve the performance of the fault location on 110kV Transmission Line Dak Mil - Dak Nong in Viet Nam. It also provides details of a proven process for using magnitudes of voltages and currents from one terminal line as input data of the ANFIS. In this approach, an ANFIS was trained and tested using various sets of field data, which was obtained from the simulation of faults at various fault scenarios (fault types, fault locations and fault resistance) on Matlab/Simulink. This has been included in the personal computer as an extension of the existing methods in relay AREVA P543. The detailed explanation and results indicate that the ANFIS can determine the location of the fault upon its occurrence in order to speed up the repair service and restore the power supply.