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Detection of Voltage SAG Using Hilbert-Haung Transform

Sri Swathi.Ch*, M. Sai Veerraju**

* P.G.Scholor, Department of Electrical and Electronics Engineering, SRKR Engineering College, Bhimavaram, India.

** Profesor, Department of Electrical and Electronics Engineering, SRKR Engineering College, Bhimavaram, India.

Periodicity:May - July'2015
DOI : https://doi.org/10.26634/jps.3.2.3483

Abstract

In this paper a method is proposed to detect voltage sag based on Empirical Mode Decomposition (EMD) with Hilbert Transform (called Hilbert-Huang Transform).The main characteristic feature of EMD is that it decomposes a nonstationary signal into mono component and symmetric signals called Intrinsic Mode Functions (IMFs). Further, the Hilbert transform is applied to each IMF to extract the features. The magnitude plot of the Hilbert Transform of one of the IMF correctly detects the event. Three voltage sag causes are taken in this paper (i) fault induced voltage sag, (ii) starting of induction motor and (iii) three phase transformer energization. Simulation/matlab results show the effectiveness of this method.

Keywords

Empirical Mode Decomposition, Intrinsic Mode Functions, Hilbert Transform, Voltage Sag Causes.

How to Cite this Article?

Ch, S. S., and Veerraju, M. S. (2015). Detection of Voltage SAG Using Hilbert-Haung Transform. i-manager’s Journal on Power Systems Engineering, 3(2), 28-33. https://doi.org/10.26634/jps.3.2.3483

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