Faulty Phase and Fault Location Identification using Micro-PMU Data

Abstract

Micro-PMUs or distribution-level phasor measurement units are emerging as the sensor technology for real time monitoring and control of the distribution power networks. The applications possible with these devices include state estimation, topology detection, islanding detection, voltage stability enhancement, etc. The project focuses on the application of the micro-PMU data for fault detection, location identification and faulty phase identification. The location identification method requires the data from two micro-PMUs and is based on one of the circuit theories namely the compensation theorem. The fault detection and faulted phase identification is based on the magnitude shift of voltage and current phasors and wavelet analysis using discrete wavelet transform. The simulations are done on the IEEE 34 bus test feeder and the results validate the effectiveness of the method.