Multi-dimensional wide-area visualization of power system dynamics using Synchrophasors

Majority of the traditional visualization techniques for Synchrophasor-based wide-area monitoring of large power grids are based on displaying measured values of voltage, phase angle, currents, and frequencies at discrete points in space, thereby providing only limited insight into the spatio-temporal relationships between the dynamic features embedded in the measured signals. To bridge this gap, we present several geospatial and multi-dimensional visualization methods that correlate various dynamic attributes of phase angle and power oscillations, and explicitly quantify their spatio-temporal couplings, on both absolute and relative scales. In particular, we focus on four main attributes, namely, modal frequency, damping factor, residues, and modal energy. We show how the proposed methods can interpret the interdependencies of these respective features over space and time leading to more global situational awareness, how they can be visualized in real-time using 3-dimensional plots, and, most importantly, how they can be used for robust outlier detection and baseline modification in large PMU datasets.