Sensitive line and critical bus identification based on voltage SAG analysis by using power system analysis toolbox (PSAT) software / Azri Adi Arbai
Voltage sags and momentary power interruptions are among the most important power quality problems affecting industrial and large commercial customers. This project report presents an analysis of the voltage sag which takes into considerations of the line outages method, 3-phase fault due to line ou...
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2007
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my-uitm-ir.846412024-02-23T03:53:26Z Sensitive line and critical bus identification based on voltage SAG analysis by using power system analysis toolbox (PSAT) software / Azri Adi Arbai 2007 Arbai, Azri Adi Voltage sags and momentary power interruptions are among the most important power quality problems affecting industrial and large commercial customers. This project report presents an analysis of the voltage sag which takes into considerations of the line outages method, 3-phase fault due to line outage method and load increase method. For this analysis, power system analysis toolbox (PSAT) software was used to simulate IEEE 30-bus system. Besides that, voltage sag analysis in the power system is implemented to identify the most sensitive line due to line outage, most sensitive line due to 3-phase fault and most critical bus due to load increase hence, the occurrence of the most voltage sag is identified. For this analysis, time domain simulation is used to obtain the results 2007 Thesis https://ir.uitm.edu.my/id/eprint/84641/ https://ir.uitm.edu.my/id/eprint/84641/1/84641.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abdul Rahman, Titik Khawa |
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Universiti Teknologi MARA |
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UiTM Institutional Repository |
language |
English |
advisor |
Abdul Rahman, Titik Khawa |
description |
Voltage sags and momentary power interruptions are among the most important power quality problems affecting industrial and large commercial customers. This project report presents an analysis of the voltage sag which takes into considerations of the line outages method, 3-phase fault due to line outage method and load increase method. For this analysis, power system analysis toolbox (PSAT) software was used to simulate IEEE 30-bus system. Besides that, voltage sag analysis in the power system is implemented to identify the most sensitive line due to line outage, most sensitive line due to 3-phase fault and most critical bus due to load increase hence, the occurrence of the most voltage sag is identified. For this analysis, time domain simulation is used to obtain the results |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Arbai, Azri Adi |
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Arbai, Azri Adi Sensitive line and critical bus identification based on voltage SAG analysis by using power system analysis toolbox (PSAT) software / Azri Adi Arbai |
author_facet |
Arbai, Azri Adi |
author_sort |
Arbai, Azri Adi |
title |
Sensitive line and critical bus identification based on voltage SAG analysis by using power system analysis toolbox (PSAT) software / Azri Adi Arbai |
title_short |
Sensitive line and critical bus identification based on voltage SAG analysis by using power system analysis toolbox (PSAT) software / Azri Adi Arbai |
title_full |
Sensitive line and critical bus identification based on voltage SAG analysis by using power system analysis toolbox (PSAT) software / Azri Adi Arbai |
title_fullStr |
Sensitive line and critical bus identification based on voltage SAG analysis by using power system analysis toolbox (PSAT) software / Azri Adi Arbai |
title_full_unstemmed |
Sensitive line and critical bus identification based on voltage SAG analysis by using power system analysis toolbox (PSAT) software / Azri Adi Arbai |
title_sort |
sensitive line and critical bus identification based on voltage sag analysis by using power system analysis toolbox (psat) software / azri adi arbai |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2007 |
url |
https://ir.uitm.edu.my/id/eprint/84641/1/84641.pdf |
_version_ |
1794192034110636032 |