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A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization

Voltage dips have been identified as the major problem among power quality disturbance events which affect the industrial customers. The dips involve short reduction in Root Mean Square (RMS) voltage caused by fuults in electrical supply system or starting of a large load. It is crucial to measur...

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Main Author: Abd Halim, Syahirah
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2009
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/8738/1/2009%20-%20A%20Comparison%20of%20Two%20Methods%20using%20R.M.S.%20Value%20and%20Wavelet-Based%20Mann%20and%20Morisson%20Algorit.pdf
http://utpedia.utp.edu.my/8738/
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spelling my-utp-utpedia.87382017-01-25T09:44:02Z http://utpedia.utp.edu.my/8738/ A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization Abd Halim, Syahirah TK Electrical engineering. Electronics Nuclear engineering Voltage dips have been identified as the major problem among power quality disturbance events which affect the industrial customers. The dips involve short reduction in Root Mean Square (RMS) voltage caused by fuults in electrical supply system or starting of a large load. It is crucial to measure and analyze the voltage dip events before considering any mitigation action to reduce and eliminate it. This work presents comparison of two methods used for voltage dip detection and characterization. A less complicated method performed is to determine the lowest magnitude of the RMS voltage during the disturbance. Another method is a combination of wavelet-based analysis using Mann and Morrison algorithm which estimates the amplitude and the phase angle to characterize the dips. The performances of both methods are examined using simulation of system voltage dip, duration of the dip occurrences and point-on wave at beginning in a sinusoidal voltage supply. The voltage dips are then being classified into some classes according to their characteristics. The numerical approach using RMS value results in simplicity method which is easy to be implemented and understood. Eventhough the wavelet-based method seems to be more complicated, it provides higher accuracy in determining the voltage dip characterization. iii Universiti Teknologi Petronas 2009-06 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/8738/1/2009%20-%20A%20Comparison%20of%20Two%20Methods%20using%20R.M.S.%20Value%20and%20Wavelet-Based%20Mann%20and%20Morisson%20Algorit.pdf Abd Halim, Syahirah (2009) A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abd Halim, Syahirah
A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization
description Voltage dips have been identified as the major problem among power quality disturbance events which affect the industrial customers. The dips involve short reduction in Root Mean Square (RMS) voltage caused by fuults in electrical supply system or starting of a large load. It is crucial to measure and analyze the voltage dip events before considering any mitigation action to reduce and eliminate it. This work presents comparison of two methods used for voltage dip detection and characterization. A less complicated method performed is to determine the lowest magnitude of the RMS voltage during the disturbance. Another method is a combination of wavelet-based analysis using Mann and Morrison algorithm which estimates the amplitude and the phase angle to characterize the dips. The performances of both methods are examined using simulation of system voltage dip, duration of the dip occurrences and point-on wave at beginning in a sinusoidal voltage supply. The voltage dips are then being classified into some classes according to their characteristics. The numerical approach using RMS value results in simplicity method which is easy to be implemented and understood. Eventhough the wavelet-based method seems to be more complicated, it provides higher accuracy in determining the voltage dip characterization. iii
format Final Year Project
author Abd Halim, Syahirah
author_facet Abd Halim, Syahirah
author_sort Abd Halim, Syahirah
title A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization
title_short A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization
title_full A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization
title_fullStr A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization
title_full_unstemmed A Comparison of Two Methods Using R.M.S. Value and Wavelet-Based Mann and Morrison Algorithm for Voltage Dip Characterization
title_sort comparison of two methods using r.m.s. value and wavelet-based mann and morrison algorithm for voltage dip characterization
publisher Universiti Teknologi Petronas
publishDate 2009
url http://utpedia.utp.edu.my/8738/1/2009%20-%20A%20Comparison%20of%20Two%20Methods%20using%20R.M.S.%20Value%20and%20Wavelet-Based%20Mann%20and%20Morisson%20Algorit.pdf
http://utpedia.utp.edu.my/8738/
_version_ 1739831598909489152
score 13.211869

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