A Methodology for Fault Detection and Classification Using PMU Measurements

Abstract

Phasor Measurement Units (PMU) has become integral part of advanced measurement technologies for power transmission and distribution systems. The PMU measurement gives a clear picture of sequence of phenomenon happening in power system. In power system, faults, load change etc. happens frequently. Since faults are severe cases it is required to detect them at the earliest. Here a two-stage fault detection method is proposed which can clearly distinguish between disturbances and faults in power system. The positive and zero sequence voltages obtained from PMUs are utilized in the detection algorithm. Once the fault is detected, it is required to recognize the kind of fault that has occurred. A Support Vector Machine is proposed for categorizing the fault type. The 14 bus IEEE transmission test system is modelled in PSS/E and MATLAB/Simulink for testing and validating the proposed detection and classification methods.