Detection of Power Disturbances using Emprical Mode Decomposition and Hilbert Transform

Year 2015, Volume: 2 Issue: 1, 27 - 34, 01.06.2016

Yasemin Önal Ömer Nezih Gerek Doğan Gökhan Ece

Abstract

This paper presents a new method based emprical mode decomposition and hilbert transform for detection of power quality disturbances. Hilbert Huang Transform HHT, which was suggested by Huang and improved by Flandrin and his group, is a new signal processing method. The analysis of nonlinear and non stationary signals can use HHT. In this paper, the recorded disturbances signals are decomposed into Intrinsic Mode Functions using the Emprical Mode Decomposition. The frequency and amplitude of power disturbances are obtained of IMF components by using Hilbert Transform HT. The clear success of EMD in defining envelope variations of a sinusoidal waveform has been the main motivation for the adoption of EMD in analysis of power disturbance signals. Simulations are performed over waveforms including voltage harmonics, voltage sag and swell. The waveforms are selected as pure sinusoids. Simulation results show that the suggested methodology can effectively detect different power disturbances.

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