PMU Based Realtime Fault Detection Algorithm for Transmission Line Faults

Abstract

Phasor Measurement Units (PMU) have become the backbone of advanced power system monitering due to the unprecedented level of detail it offers when compared to the conventional power system measurement and telemetry. Monitoring of transmission lines using PMU can give insights into power system phenomenon like loss of stability, faults and load encroachments. In this paper an algorithm based on equivalent power factor angle (EPFA) for fault detection is discussed. This algorithm is helpful in understanding the presence of fault which can in turn be used for the design of backup protection algorithms using PMU based measurements. IEEE 9 bus system is used to simulate faults and the EPFA at one of the buses is computed. Fourier coefficients of the EPFA so computed forms the input to train support vector machine (SVM) which is used as a binary classifier to detect the presence of fault. The developed svm has been validated for fault detection effectiveness with case studies.