Power quality events analysis using wavelet transform

With an increasing usage of sensitive electronic equipment, power quality studies had grown to perform power quality data analysis. Wavelet transformation technique was founded to be more appropriate to analyze the various types of power quality events.This project compares the use of various typ...

Full description

Saved in:

Bibliographic Details
Main Author:	Rufus, Shirley
Format:	Thesis
Language:	English
Published:	2012
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.uthm.edu.my/2406/1/24p%20SHIRLEY%20ANAK%20RUFUS.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uthm-ep.2406
record_format	uketd_dc
spelling	my-uthm-ep.24062022-02-03T01:49:23Z Power quality events analysis using wavelet transform 2012-07 Rufus, Shirley TK Electrical engineering. Electronics Nuclear engineering TK1001-1841 Production of electric energy or power. Powerplants. Central stations With an increasing usage of sensitive electronic equipment, power quality studies had grown to perform power quality data analysis. Wavelet transformation technique was founded to be more appropriate to analyze the various types of power quality events.This project compares the use of various types of wavelets at different scales and levels of decomposition on analyzing real recorded Power quality (PQ) events from Skudai 22kV distribution system. Voltage sag, voltage swell and transient event have been tested. PQ events data were extracted by RPM Power Analysis Softwarebased on a standard curve called as CBEMA curve. Background and indicators in CBEMA curve were studied, hence various PQ events were able to identify and analyze. This project also applied the 1-D WPT and 1-D SWTD of Matlab wavelet toolbox for further analysis the recorded PQ events. In 1-D WPT, four (4) types of wavelets with Shannon entropy based are applied and aim to determine the most appropriate mother wavelet for better compression and analyzed the recorded data of PQ event. Compression of voltage sag and swell waveforms were carried out with low energy loss capability was verified in order to preserve the original waveform of PQ event feature for further analysis. Performance of the 1-D WPT in compression on both voltage sag and swell events is compared based on Retain Energy (RE) and Number of Zeros (NZ) in percentage for all proposed wavelets at different scales and levels of decomposition. Ratio of energy loss per percentage of zero of compressed PQ events was also demonstrated. Compression using WT was also conducted for comparison.Presence of noise in the PQ events were de-noised using different mother wavelets at level 3 by varied three (3) types of noise structure available in 1-D SWTD. Effectiveness of using 1-D SWTD for analyzing transient, voltage sag and swell events with 3 different noise structures has been demonstrated by comparing the dispersion and distributionComparison of denoised waveform from WT was also demonstrated. 2012-07 Thesis http://eprints.uthm.edu.my/2406/ http://eprints.uthm.edu.my/2406/1/24p%20SHIRLEY%20ANAK%20RUFUS.pdf text en public mphil masters Universiti Tun Hussein Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering Rufus, Shirley Power quality events analysis using wavelet transform
description	With an increasing usage of sensitive electronic equipment, power quality studies had grown to perform power quality data analysis. Wavelet transformation technique was founded to be more appropriate to analyze the various types of power quality events.This project compares the use of various types of wavelets at different scales and levels of decomposition on analyzing real recorded Power quality (PQ) events from Skudai 22kV distribution system. Voltage sag, voltage swell and transient event have been tested. PQ events data were extracted by RPM Power Analysis Softwarebased on a standard curve called as CBEMA curve. Background and indicators in CBEMA curve were studied, hence various PQ events were able to identify and analyze. This project also applied the 1-D WPT and 1-D SWTD of Matlab wavelet toolbox for further analysis the recorded PQ events. In 1-D WPT, four (4) types of wavelets with Shannon entropy based are applied and aim to determine the most appropriate mother wavelet for better compression and analyzed the recorded data of PQ event. Compression of voltage sag and swell waveforms were carried out with low energy loss capability was verified in order to preserve the original waveform of PQ event feature for further analysis. Performance of the 1-D WPT in compression on both voltage sag and swell events is compared based on Retain Energy (RE) and Number of Zeros (NZ) in percentage for all proposed wavelets at different scales and levels of decomposition. Ratio of energy loss per percentage of zero of compressed PQ events was also demonstrated. Compression using WT was also conducted for comparison.Presence of noise in the PQ events were de-noised using different mother wavelets at level 3 by varied three (3) types of noise structure available in 1-D SWTD. Effectiveness of using 1-D SWTD for analyzing transient, voltage sag and swell events with 3 different noise structures has been demonstrated by comparing the dispersion and distributionComparison of denoised waveform from WT was also demonstrated.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Rufus, Shirley
author_facet	Rufus, Shirley
author_sort	Rufus, Shirley
title	Power quality events analysis using wavelet transform
title_short	Power quality events analysis using wavelet transform
title_full	Power quality events analysis using wavelet transform
title_fullStr	Power quality events analysis using wavelet transform
title_full_unstemmed	Power quality events analysis using wavelet transform
title_sort	power quality events analysis using wavelet transform
granting_institution	Universiti Tun Hussein Malaysia
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2012
url	http://eprints.uthm.edu.my/2406/1/24p%20SHIRLEY%20ANAK%20RUFUS.pdf
_version_	1747830950256967680

Power quality events analysis using wavelet transform

Similar Items