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