Contrast study on power quality detection using EMD and EEMD

Most of the disturbance in the power system is nonlinear and no-stationary. Hilbert-Huang transform (HHT) is an efficient time-frequency analysis method which can detect different kinds of power quality disturbance. HHT consists of empirical-mode decomposition (EMD) and Hilbert transform (HT). EMD can self-adjust according to the characteristics of the signal itself, and decompose the signal into IMFs, so that the disturbance can be separated and studied. Ensemble empirical mode decomposition (EEMD), which improved the performance of EMD, overcomes the mode mixing phenomena which restrain the usage of EMD. This paper did a contrast study on power quality detection using EMD and EEMD. It is concluded that EEMD has better effect on detecting some of power quality disturbances.