DISTANCE PROTECTION SCHEME FOR TRANSMISSION LINE USING BACK-PROPAGATION NEURAL NETWORK

Himani Mahajan, Ashish Sharma

Abstract: To maintain the continuity of service to consumers without any interruption, a well coordinated protective scheme is required. A corrective decision should be made by the protective device to minimize the period of trouble and limit outage time, damage and related problems. In this paper, back propagation feed forward neural network is considered for implementing distance protection scheme. Results obtained shows that this scheme is able to distinguish the condition and type of fault and also locates the zone in which fault is present in order to isolate the fault. All types of faults are discussed i.e. single phase to ground faults, double phase faults and double phase to ground faults. The result provides a reliable and an attractive approach for the development of a protective relaying system for the transmission system. Simulation is done using sim power system and neural network in MATLAB.

Keywords: ANN, back-propagation, transmission line, protection and fault.

DOI: https://doi.org/10.15623/ijret.2014.0305099