ANN based fault detection & direction estimation scheme for series compensated transmission lines

In this paper a directional relaying scheme for fixed series capacitor compensated transmission lines is proposed using Artificial Neural Network (ANN). The fundamental voltage and current signals are used as input to Artificial Neural Network which detects the fault on the transmission line and identifies the section of the fault. Different parameters like fault type, fault location, fault inception angle, and fault resistance are varied to evaluate the performance of the proposed scheme. A large number of fault cases studies have been performed to test the efficiency of the proposed scheme. Test results show the accuracy and effectiveness of proposed algorithm. Relay operation time is within half cycle for the proposed method. Accuracy of fault detection scheme is 99% and section identification scheme is 100%.