Voltage stability prediction using artificial neural network for IEEE 69-bus and 30-bus / Nur Adha Hanif Mat Rahim

This project discusses the voltage stability prediction of a power system using Artificial Neural Network (ANN). Voltage instability is the one of the causes for a power system to breakdown. This incident is caused by severe low voltage condition which leads to blackouts to all system. The voltage s...

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Main Author:	Mat Rahim, Nur Adha Hanif
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/78122/1/78122.pdf
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id	my-uitm-ir.78122
record_format	uketd_dc
spelling	my-uitm-ir.781222024-05-17T09:01:09Z Voltage stability prediction using artificial neural network for IEEE 69-bus and 30-bus / Nur Adha Hanif Mat Rahim 2014 Mat Rahim, Nur Adha Hanif Neural networks (Computer science) This project discusses the voltage stability prediction of a power system using Artificial Neural Network (ANN). Voltage instability is the one of the causes for a power system to breakdown. This incident is caused by severe low voltage condition which leads to blackouts to all system. The voltage stability prediction is essential in power system planning in order to prevent voltage collapse due to instability of voltage in power system. The voltage stability for each bus 1s determined by Voltage Stability Index (VSI). The value obtain from the VSI can determine the voltage stability for each bus in the system. There are two types of bus that will be use to determine the voltage stability prediction in power system which is 69-bus and 30-bus. A comparative study was conducted with Artificial Neural Network (ANN)-based prediction. 2014 Thesis https://ir.uitm.edu.my/id/eprint/78122/ https://ir.uitm.edu.my/id/eprint/78122/1/78122.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Mohd. Arshad, Pauziah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd. Arshad, Pauziah
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Mat Rahim, Nur Adha Hanif Voltage stability prediction using artificial neural network for IEEE 69-bus and 30-bus / Nur Adha Hanif Mat Rahim
description	This project discusses the voltage stability prediction of a power system using Artificial Neural Network (ANN). Voltage instability is the one of the causes for a power system to breakdown. This incident is caused by severe low voltage condition which leads to blackouts to all system. The voltage stability prediction is essential in power system planning in order to prevent voltage collapse due to instability of voltage in power system. The voltage stability for each bus 1s determined by Voltage Stability Index (VSI). The value obtain from the VSI can determine the voltage stability for each bus in the system. There are two types of bus that will be use to determine the voltage stability prediction in power system which is 69-bus and 30-bus. A comparative study was conducted with Artificial Neural Network (ANN)-based prediction.
format	Thesis
qualification_level	Bachelor degree
author	Mat Rahim, Nur Adha Hanif
author_facet	Mat Rahim, Nur Adha Hanif
author_sort	Mat Rahim, Nur Adha Hanif
title	Voltage stability prediction using artificial neural network for IEEE 69-bus and 30-bus / Nur Adha Hanif Mat Rahim
title_short	Voltage stability prediction using artificial neural network for IEEE 69-bus and 30-bus / Nur Adha Hanif Mat Rahim
title_full	Voltage stability prediction using artificial neural network for IEEE 69-bus and 30-bus / Nur Adha Hanif Mat Rahim
title_fullStr	Voltage stability prediction using artificial neural network for IEEE 69-bus and 30-bus / Nur Adha Hanif Mat Rahim
title_full_unstemmed	Voltage stability prediction using artificial neural network for IEEE 69-bus and 30-bus / Nur Adha Hanif Mat Rahim
title_sort	voltage stability prediction using artificial neural network for ieee 69-bus and 30-bus / nur adha hanif mat rahim
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/78122/1/78122.pdf
_version_	1804889699004710912

Voltage stability prediction using artificial neural network for IEEE 69-bus and 30-bus / Nur Adha Hanif Mat Rahim

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