Power system transient analysis using scale selection wavelet transform

Power system transient analysis using scale selection wavelet transform is presented in this paper. The scale selection approach selectively performs continuous wavelet transform from scale 1 to scale 70, thus covering the typical power system transient frequency range. This creates a wavelet time s...

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Main Authors: Tan R.H.G., Ramachandaramurthy V.K.
Other Authors: 35325391900
Format: Conference paper
Published: 2023
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spelling my.uniten.dspace-308242023-12-29T15:54:02Z Power system transient analysis using scale selection wavelet transform Tan R.H.G. Ramachandaramurthy V.K. 35325391900 6602912020 Power quality Transient Wavelet transform Electric power systems Power quality Statistics Wavelet transforms Continuous Wavelet Transform Excellent performance Over-voltages Power system transients Scale analysis Scale selection Time analysis Time-scales Transient disturbances Transient frequency Transient zone Transient analysis Power system transient analysis using scale selection wavelet transform is presented in this paper. The scale selection approach selectively performs continuous wavelet transform from scale 1 to scale 70, thus covering the typical power system transient frequency range. This creates a wavelet time scale known as Transient Zone between scale 1 to scale 70. For wavelet scale analysis, the scale is used to estimate the transient frequency, scale and energy. For time analysis, the wavelet scales that correspond to the highest energy in the wavelet scale analysis is selected to create the segmentation window to extract the entire transient disturbances. Wavelet scale 4 is selected to locate the actual time where the transient initially takes place to determine its magnitude, duration and over voltage. The experimental results show excellent performance in terms of effectively detecting, localizing, segmenting and estimating the energy, frequency, magnitude, duration and over voltage of the transient disturbance, thus enabling the differentiation between oscillatory and impulsive transients. �2009 IEEE. Final 2023-12-29T07:54:02Z 2023-12-29T07:54:02Z 2009 Conference paper 10.1109/TENCON.2009.5396015 2-s2.0-77951098845 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951098845&doi=10.1109%2fTENCON.2009.5396015&partnerID=40&md5=7c17e1996deeba2c821f04078050c551 https://irepository.uniten.edu.my/handle/123456789/30824 5396015 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Power quality
Transient
Wavelet transform
Electric power systems
Power quality
Statistics
Wavelet transforms
Continuous Wavelet Transform
Excellent performance
Over-voltages
Power system transients
Scale analysis
Scale selection
Time analysis
Time-scales
Transient disturbances
Transient frequency
Transient zone
Transient analysis
spellingShingle Power quality
Transient
Wavelet transform
Electric power systems
Power quality
Statistics
Wavelet transforms
Continuous Wavelet Transform
Excellent performance
Over-voltages
Power system transients
Scale analysis
Scale selection
Time analysis
Time-scales
Transient disturbances
Transient frequency
Transient zone
Transient analysis
Tan R.H.G.
Ramachandaramurthy V.K.
Power system transient analysis using scale selection wavelet transform
description Power system transient analysis using scale selection wavelet transform is presented in this paper. The scale selection approach selectively performs continuous wavelet transform from scale 1 to scale 70, thus covering the typical power system transient frequency range. This creates a wavelet time scale known as Transient Zone between scale 1 to scale 70. For wavelet scale analysis, the scale is used to estimate the transient frequency, scale and energy. For time analysis, the wavelet scales that correspond to the highest energy in the wavelet scale analysis is selected to create the segmentation window to extract the entire transient disturbances. Wavelet scale 4 is selected to locate the actual time where the transient initially takes place to determine its magnitude, duration and over voltage. The experimental results show excellent performance in terms of effectively detecting, localizing, segmenting and estimating the energy, frequency, magnitude, duration and over voltage of the transient disturbance, thus enabling the differentiation between oscillatory and impulsive transients. �2009 IEEE.
author2 35325391900
author_facet 35325391900
Tan R.H.G.
Ramachandaramurthy V.K.
format Conference paper
author Tan R.H.G.
Ramachandaramurthy V.K.
author_sort Tan R.H.G.
title Power system transient analysis using scale selection wavelet transform
title_short Power system transient analysis using scale selection wavelet transform
title_full Power system transient analysis using scale selection wavelet transform
title_fullStr Power system transient analysis using scale selection wavelet transform
title_full_unstemmed Power system transient analysis using scale selection wavelet transform
title_sort power system transient analysis using scale selection wavelet transform
publishDate 2023
_version_ 1806423278542127104
score 13.214268