A screening procedure to detect significant power system events recorded by the Texas synchrophasor network

This paper presents a method for screening synchrophasor data to search for power system events of interest. The method employs the Prony algorithm to estimate mode amplitude, frequency, and damping ratio on actual synchrophasor data. The procedure uses seven different Linear Prediction Model (LPM) orders, plus a 10 second window width that slides in steps of 1 second, to minimize the possibility of overlooking events of interest.