INTEGRATION OF NEURAL NETWORK AND IMPEDANCE BASED RELAY TO IMPROVE THE SHORTAGE FAULT LOCALIZATION ON A TRANSMISSION LINE

Abstract

Power transmission lines are the very important parts in power systems. The lines may encounter various incidents When such an incident occurs, due to the lines length, an accurate fault location will have a great impact in reducing the restoration time of the system. This paper will present a new method using the classical artificial neural networks MLP (Multi Layer Perceptron) in parallel with a distance relays to correct the fault location estimation of the relay. The solution will base only on the voltage and current signals from the beginning of the lines. The training samples signals of the transient states are generated using ATP/EMTP (Alternative Transients Programme/ Electro- Magnetic Transients Program). The numerical results will show that the solution had helped to reduce the fault location error from 0.92 % to 0.42 %.