Detection and classification of power quality disturbances using signal processing techniques

Abstract

Wind and solar power experience increased momentum over last decades because of eco-friendly power generation and abundant availability. But at the same time, its high penetration in the conventional grid makes detection of PQ disturbances and islanding situation more complex. Because of limitations of the active-passive based method, a comparative study between Empirical Mode Decomposition (EMD), and Ensemble Empirical Mode Decomposition (EEMD) is used in this paper. A 13 bus micro grid model is simulated in PSCAD (v46) for subsequent analysis. The IMF components of EMD and EEMD of the voltage signal is the elegant choice for disturbance detection. The SVM based nonlinear classifier is used for classification.