ANALYSIS OF POWER QUALITY EVENTS USING WAVELETS

MATTER: International Journal of Science and Technology

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Field Value
 
Title ANALYSIS OF POWER QUALITY EVENTS USING WAVELETS
 
Creator E, Prathibha.
A, Manjunatha.
Raj, Cyril Prasanna
 
Subject PQ Event
DWT
DTCWT
Wavelets
Decomposition
Shift Invariance
 
Description Wavelets are prominently used for Power Quality (PQ) signal analysis, the features that are computed from wavelet sub bands are informative for detection and classification. Energy levels of non-stationary events that occur in PQ signal computed considering wavelet sub bands suffer from shift variant property and hence use of dual tree complex wavelets that supports shift invariance property is used for PQ event analysis. In this paper, PQ event algorithm is developed considering dual tree wavelets and the results are compared with wavelets. Various PQ signals with non-stationary events are analyzed and the shift invariant property of dual tree wavelets is demonstrated to be advantageous in terms of event classification. Dual Tree Complex wavelet Transform (DTCWT) energy levels are capable of differentiating between multiple events as well as different types of sags, swells, harmonics, interrupts and flicker. The classification accuracy using DTCWT energy bands is improved by more than 90%. DTCWT filters selected in this paper are suitable for PQ event detection as well as classification. Article DOI: https://dx.doi.org/10.20319/mijst.2018.42.125136 This work is licensed under the Creative Commons Attribution-Non-commercial 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
 
Publisher Global Research & Development Services Publishing
 
Date 2018-09-04
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://grdspublishing.org/index.php/matter/article/view/1513
10.20319/mijst.2018.42.125136
 
Source MATTER: International Journal of Science and Technology; Vol 4 No 2 (2018): Regular Issue; 125-136
2454-5880
 
Language eng
 
Relation https://grdspublishing.org/index.php/matter/article/view/1513/1289
 
Rights Copyright (c) 2018 Author(s)
 

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