Structural equation modelling and system dynamic in the detection of power quality events

The issues of power quality had been discussed since the starting of power system and it will keep on arise from time to time because power quality is important to electricity consumers at all levels of usage. Since sensitive equipments and power electronic devices are now more common in indus...

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Main Author: Azizan, Ashraf Zulfa
Format: Thesis
Language:English
English
English
Published: 2012
Subjects:
Online Access:http://eprints.uthm.edu.my/2257/1/24p%20ASHRAF%20ZULFA%20AZIZAN.pdf
http://eprints.uthm.edu.my/2257/2/ASHRAF%20ZULFA%20AZIZAN%20COPYRIGHT%20DECLARATION.pdf
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spelling my-uthm-ep.22572021-10-31T04:45:51Z Structural equation modelling and system dynamic in the detection of power quality events 2012-01 Azizan, Ashraf Zulfa QA Mathematics QA273-280 Probabilities. Mathematical statistics The issues of power quality had been discussed since the starting of power system and it will keep on arise from time to time because power quality is important to electricity consumers at all levels of usage. Since sensitive equipments and power electronic devices are now more common in industrial/commercial sectors as well as domestic use, the awareness of power quality is developing amongst electricity users. In general, the main power quality issues can be identified as voltage variations, voltage imbalance, voltage fluctuations, transients, harmonic distortions, interruptions, etc. The consequences of one or more of the above non-ideal conditions may cause thermal effects, life expectancy reduction, dielectric strength reduction and disoperation of different equipments. In this project, power quality events are verified using Structural Equation Modeling (SEM) and System Dynamic method. In detecting power quality events, Amos 5.0.1 and Vensim PLE for Windows version 5.11 were used. The verification of power quality events involves identification, classification and mitigation process on several power quality events that occurred in electrical power system. 2012-01 Thesis http://eprints.uthm.edu.my/2257/ http://eprints.uthm.edu.my/2257/1/24p%20ASHRAF%20ZULFA%20AZIZAN.pdf text en public http://eprints.uthm.edu.my/2257/2/ASHRAF%20ZULFA%20AZIZAN%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/2257/3/ASHRAF%20ZULFA%20AZIZAN%20WATERMARK.pdf text en validuser mphil masters Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Elektrik dan Elektronik
institution Universiti Tun Hussein Onn Malaysia
collection UTHM Institutional Repository
language English
English
English
topic QA Mathematics
QA Mathematics
spellingShingle QA Mathematics
QA Mathematics
Azizan, Ashraf Zulfa
Structural equation modelling and system dynamic in the detection of power quality events
description The issues of power quality had been discussed since the starting of power system and it will keep on arise from time to time because power quality is important to electricity consumers at all levels of usage. Since sensitive equipments and power electronic devices are now more common in industrial/commercial sectors as well as domestic use, the awareness of power quality is developing amongst electricity users. In general, the main power quality issues can be identified as voltage variations, voltage imbalance, voltage fluctuations, transients, harmonic distortions, interruptions, etc. The consequences of one or more of the above non-ideal conditions may cause thermal effects, life expectancy reduction, dielectric strength reduction and disoperation of different equipments. In this project, power quality events are verified using Structural Equation Modeling (SEM) and System Dynamic method. In detecting power quality events, Amos 5.0.1 and Vensim PLE for Windows version 5.11 were used. The verification of power quality events involves identification, classification and mitigation process on several power quality events that occurred in electrical power system.
format Thesis
qualification_name Master of Philosophy (M.Phil.)
qualification_level Master's degree
author Azizan, Ashraf Zulfa
author_facet Azizan, Ashraf Zulfa
author_sort Azizan, Ashraf Zulfa
title Structural equation modelling and system dynamic in the detection of power quality events
title_short Structural equation modelling and system dynamic in the detection of power quality events
title_full Structural equation modelling and system dynamic in the detection of power quality events
title_fullStr Structural equation modelling and system dynamic in the detection of power quality events
title_full_unstemmed Structural equation modelling and system dynamic in the detection of power quality events
title_sort structural equation modelling and system dynamic in the detection of power quality events
granting_institution Universiti Tun Hussein Onn Malaysia
granting_department Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate 2012
url http://eprints.uthm.edu.my/2257/1/24p%20ASHRAF%20ZULFA%20AZIZAN.pdf
http://eprints.uthm.edu.my/2257/2/ASHRAF%20ZULFA%20AZIZAN%20COPYRIGHT%20DECLARATION.pdf
http://eprints.uthm.edu.my/2257/3/ASHRAF%20ZULFA%20AZIZAN%20WATERMARK.pdf
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