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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Main Author: Arbai, Azri Adi
Format: Thesis
Language:English
Published: 2007
Online Access:https://ir.uitm.edu.my/id/eprint/84641/1/84641.pdf
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spelling 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
institution Universiti Teknologi MARA
collection 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
spellingShingle 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
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