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Power quality disturbance magnitude characterization using wavelet transformation analysis part 2 - Application

Zin, A.A.M and Goh, H.H and Lo, Kueiming Lun (2008) Power quality disturbance magnitude characterization using wavelet transformation analysis part 2 - Application. International of Power and Energy Systems, 28 (2). pp. 190-201.

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Abstract

Power quality disturbances (PQD) are normally monitored by dedicated power quality devices. The devices capture disturbances waveform in real-time. Magnitude is accepted as a significant index for detection, general classification and later assessment analysis. To choose suitable way of magnitude characterization is a fundamental work of PQD measuring and monitoring. This study presents three different ways, RMS voltage, peak voltage and fundamental voltage component, to determine magnitude. The algorithms of the three approaches implemented are wavelet transformation (WT) based. In this paper, several approaches to detect, localize, and investigate the feasibility of classifying various types of PQD are presented. The approaches are based on wavelet transform analysis, particularly the Paul, Gaussian and Daubechies wavelet transform. The key idea underlying the approaches is to decompose a given disturbance signal into time-frequency phase, which represent a smoothed version and a detailed version of the original signal. The decomposition is performed using signal decomposition techniques. The proposed technique to detect and localize disturbances with actual power line disturbances is demonstrated and tested. To enhance the detection outcomes, the squared wavelet transform coefficients of the analyzed power line signal are utilized. Based on the results of the detection and localization, an initial investigation of the ability to uniquely characterize various types of PQD is carried on. This investigation is based on characterizing the uniqueness of the squared wavelet transform coefficients for each PQD.

Item Type:Article
Uncontrolled Keywords:Power quality disturbances, signal decomposition, uniqueness search, wavelet transform analysis
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:7524
Deposited By: Maznira Sylvia Azra Mansor
Deposited On:07 Jan 2009 06:31
Last Modified:07 Jan 2009 06:31

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