Optimal undervoltage load shedding scheme by using artificial immune system optimization technique / Mohd Firdaus Moktar

Under voltage load shedding (UVLS) is one of the most essential issues in planning, security, and operation of power system. It has been employed in the electric utility industry as a safety measure to prevent or reduce possibility of voltage collapse due to high impact disturbances. Several methods...

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Main Author:	Moktar, Mohd Firdaus
Format:	Thesis
Language:	English
Published:	2009
Online Access:	https://ir.uitm.edu.my/id/eprint/85303/1/85303.pdf
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id	my-uitm-ir.85303
record_format	uketd_dc
spelling	my-uitm-ir.853032024-02-14T02:28:31Z Optimal undervoltage load shedding scheme by using artificial immune system optimization technique / Mohd Firdaus Moktar 2009 Moktar, Mohd Firdaus Under voltage load shedding (UVLS) is one of the most essential issues in planning, security, and operation of power system. It has been employed in the electric utility industry as a safety measure to prevent or reduce possibility of voltage collapse due to high impact disturbances. Several methods to optimize load shedding have been proposed so far such as Evolutionary Programming (EP), Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO). This project presents a new approach of optimizing load shedding scheme which is by using Artificial Immune System (AIS) optimization technique to restore the stability of the system and to avoid the phenomenon of voltage collapse due to line outage. This program was developed using MATLAB software and the proposed technique was tested on IEEE 30-Bus reliability test system. The objective function is to maximize the minimum voltage and minimize the total loss after the 30-bus system was subjected to line outage. By implementing this technique, it is capable to determine the right amount and location where load is to be shed in order to meet the objective function. 2009 Thesis https://ir.uitm.edu.my/id/eprint/85303/ https://ir.uitm.edu.my/id/eprint/85303/1/85303.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abd Rahman, Titik Khawa
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abd Rahman, Titik Khawa
description	Under voltage load shedding (UVLS) is one of the most essential issues in planning, security, and operation of power system. It has been employed in the electric utility industry as a safety measure to prevent or reduce possibility of voltage collapse due to high impact disturbances. Several methods to optimize load shedding have been proposed so far such as Evolutionary Programming (EP), Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO). This project presents a new approach of optimizing load shedding scheme which is by using Artificial Immune System (AIS) optimization technique to restore the stability of the system and to avoid the phenomenon of voltage collapse due to line outage. This program was developed using MATLAB software and the proposed technique was tested on IEEE 30-Bus reliability test system. The objective function is to maximize the minimum voltage and minimize the total loss after the 30-bus system was subjected to line outage. By implementing this technique, it is capable to determine the right amount and location where load is to be shed in order to meet the objective function.
format	Thesis
qualification_level	Bachelor degree
author	Moktar, Mohd Firdaus
spellingShingle	Moktar, Mohd Firdaus Optimal undervoltage load shedding scheme by using artificial immune system optimization technique / Mohd Firdaus Moktar
author_facet	Moktar, Mohd Firdaus
author_sort	Moktar, Mohd Firdaus
title	Optimal undervoltage load shedding scheme by using artificial immune system optimization technique / Mohd Firdaus Moktar
title_short	Optimal undervoltage load shedding scheme by using artificial immune system optimization technique / Mohd Firdaus Moktar
title_full	Optimal undervoltage load shedding scheme by using artificial immune system optimization technique / Mohd Firdaus Moktar
title_fullStr	Optimal undervoltage load shedding scheme by using artificial immune system optimization technique / Mohd Firdaus Moktar
title_full_unstemmed	Optimal undervoltage load shedding scheme by using artificial immune system optimization technique / Mohd Firdaus Moktar
title_sort	optimal undervoltage load shedding scheme by using artificial immune system optimization technique / mohd firdaus moktar
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2009
url	https://ir.uitm.edu.my/id/eprint/85303/1/85303.pdf
_version_	1794192086570893312

Optimal undervoltage load shedding scheme by using artificial immune system optimization technique / Mohd Firdaus Moktar

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