Event detection method for the PMUs synchrophasor data

The objective of the paper is to present an innovative method for event detection. The data is collected using a PMU network installed to provide wide-area monitoring and analysis of Texas' bulk power system. Grid events are detected using a combination of simple statstical algorithms, singular point detection with residual modeling, short time Fourier transform and linear regression. The performance of the proposed method is shown through the results of analysis on two types of actual events.