Development of visualization toolbox for monitoring electromechanical oscillations

Low frequency power oscillations are well-known problem in the contest of power system stability issues. Some of these oscillations get triggered due to events, but can be damped out. On the other hand, undamped oscillations result into system collapse. In this regard, Wide Area Monitoring Systems (WAMS) using Phasor Measurement Units (PMUs) signals can assist in monitoring of power oscillations. This paper presents a scheme for visual monitoring of low frequency power oscillations. The scheme uses empirical mode decomposition (EMD) technique to decompose the segmented moving window frame of PMUs signal and provide relevant information of mode and damping. In the developed visualization toolbox, it is possible to know several low frequency modes present in the segmented frame and how frequently these are observed in the entire length of PMUs data.