Voltage stability index prediction by using genetics algorithm-based machine learning (GBML) technique / Zainab Mohd Ghazali

Voltage stability is the ability of a power system to maintain acceptable voltage at all buses in the system under normal conditions and after being subjected to a disturbance. Itis important to keep the power system stable to avoid network failure or collapse. Recently years, it is reported that ma...

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Main Author:	Mohd Ghazali, Zainab
Format:	Thesis
Language:	English
Published:	2007
Subjects:	Computer network resources
Online Access:	https://ir.uitm.edu.my/id/eprint/84572/1/84572.pdf
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id	my-uitm-ir.84572
record_format	uketd_dc
spelling	my-uitm-ir.845722024-02-01T04:12:30Z Voltage stability index prediction by using genetics algorithm-based machine learning (GBML) technique / Zainab Mohd Ghazali 2007 Mohd Ghazali, Zainab Computer network resources Voltage stability is the ability of a power system to maintain acceptable voltage at all buses in the system under normal conditions and after being subjected to a disturbance. Itis important to keep the power system stable to avoid network failure or collapse. Recently years, it is reported that many major network failure occurs due to voltage instability. In case of that, voltage stability has become one of the major concerns in planning and operating of electrical power system. This problem has inspired researchers to seek for the solutions. One of effective way is by applying early prediction or on-line prediction of system's stability. This thesis has come up with new technique to predict the voltage stability condition of a power system. The proposed technique is using Genetic Algorithms-Based Machine Learning (GBML) to predict the voltage stability index. However researchers keep searching for most effective technique to predict the stability index. 2007 Thesis https://ir.uitm.edu.my/id/eprint/84572/ https://ir.uitm.edu.my/id/eprint/84572/1/84572.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
topic	Computer network resources
spellingShingle	Computer network resources Mohd Ghazali, Zainab Voltage stability index prediction by using genetics algorithm-based machine learning (GBML) technique / Zainab Mohd Ghazali
description	Voltage stability is the ability of a power system to maintain acceptable voltage at all buses in the system under normal conditions and after being subjected to a disturbance. Itis important to keep the power system stable to avoid network failure or collapse. Recently years, it is reported that many major network failure occurs due to voltage instability. In case of that, voltage stability has become one of the major concerns in planning and operating of electrical power system. This problem has inspired researchers to seek for the solutions. One of effective way is by applying early prediction or on-line prediction of system's stability. This thesis has come up with new technique to predict the voltage stability condition of a power system. The proposed technique is using Genetic Algorithms-Based Machine Learning (GBML) to predict the voltage stability index. However researchers keep searching for most effective technique to predict the stability index.
format	Thesis
qualification_level	Bachelor degree
author	Mohd Ghazali, Zainab
author_facet	Mohd Ghazali, Zainab
author_sort	Mohd Ghazali, Zainab
title	Voltage stability index prediction by using genetics algorithm-based machine learning (GBML) technique / Zainab Mohd Ghazali
title_short	Voltage stability index prediction by using genetics algorithm-based machine learning (GBML) technique / Zainab Mohd Ghazali
title_full	Voltage stability index prediction by using genetics algorithm-based machine learning (GBML) technique / Zainab Mohd Ghazali
title_fullStr	Voltage stability index prediction by using genetics algorithm-based machine learning (GBML) technique / Zainab Mohd Ghazali
title_full_unstemmed	Voltage stability index prediction by using genetics algorithm-based machine learning (GBML) technique / Zainab Mohd Ghazali
title_sort	voltage stability index prediction by using genetics algorithm-based machine learning (gbml) technique / zainab mohd ghazali
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2007
url	https://ir.uitm.edu.my/id/eprint/84572/1/84572.pdf
_version_	1794192023391043584

Voltage stability index prediction by using genetics algorithm-based machine learning (GBML) technique / Zainab Mohd Ghazali

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