Real-time power system electromechanical mode estimation implementation and visualization utilizing synchrophasor data

Abstract

Wide area measurement systems (WAMS) could provide enough information to estimate the electromechanical modes which characterize the dynamic properties of the power grid. Utilizing the measured synchrophasor data from frequency monitoring network (FNET/GridEye), this paper proposes an approach to estimate the oscillation frequency and damping regardless of ring-down or ambient condition in real-time environment. The empirical mode decomposition (EMD) is used to detrend the frequency signal, and an auto-regressing moving-average (ARMA) model is used to describe the time series data and the modified yuler walker (MYW) algorithm is used to estimate the AR parameters. Additionally, this paper describes the details of the implementation of a real-time monitoring website showing the estimated dominant frequency and damping from the four interconnections in North America power grid.