Classification and Visualization of Power Quality Disturbance-Events Using Space Vector Ellipse in Complex Plane

This article proposes a novel algorithm employing space vector ellipse (SVE) in complex plane to classify and visualize power quality disturbance-events (PQDEs). In the proposed method, at first, time-domain signal reference signal, which are separated by 90°, mapped 2D coordinates. Thus, tip of resultant rotating traces an ellipse, from three parameters, namely, semi-major axis, semi-minor axis inclination angle, obtained. Then, parameters exploited nine types PQDEs, voltage sag, swell, interruption, harmonic, sag-harmonic, swell-harmonic, notch, flicker transient. To validate practicability approach, extensive real-time simulation study is carried out on RTDS platform using test microgrid network generate large number PQDEs. The events were successfully classified visualized plane. Moreover, noisy practical signals, recorded IEEE 1159.2 Working Group, demonstrate effectiveness method.