An overview performance of particle swarm optimization for Economic Dispatch

Economic Dispatch is one of fundamental in power system studies and becomes an important part of the operation and planning for utilities. As Economic Dispatch very complex in nature, therefore metaheuristic optimization approach has been used to solve it. Multiple approaches were developed to meet...

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Main Author:	Aminuddin, Nordin
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/99549/1/NordinAminuddinMSKE2022.pdf
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id	my-utm-ep.99549
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spelling	my-utm-ep.995492023-02-28T08:27:44Z An overview performance of particle swarm optimization for Economic Dispatch 2022 Aminuddin, Nordin TK Electrical engineering. Electronics Nuclear engineering Economic Dispatch is one of fundamental in power system studies and becomes an important part of the operation and planning for utilities. As Economic Dispatch very complex in nature, therefore metaheuristic optimization approach has been used to solve it. Multiple approaches were developed to meet the best optimization in Economic Dispatch. Particle Swarm Optimization PSO is one of the most widely used to optimize the system to due flexibility and efficiency. Therefore, need to further study performance PSO to be implemented in Economic Dispatch for balancing supply and load demand. The objective of this study to compare multiple set of generators for dispatching to determine fuel cost whereby optimization can be achieved using the PSO technique. This project proposed MATLAB Software for simulation work. In the end, the results would help to determine the best approach using PSO thus allowing optimization on the system. 2022 Thesis http://eprints.utm.my/id/eprint/99549/ http://eprints.utm.my/id/eprint/99549/1/NordinAminuddinMSKE2022.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149727 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering Faculty of Engineering - School of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Aminuddin, Nordin An overview performance of particle swarm optimization for Economic Dispatch
description	Economic Dispatch is one of fundamental in power system studies and becomes an important part of the operation and planning for utilities. As Economic Dispatch very complex in nature, therefore metaheuristic optimization approach has been used to solve it. Multiple approaches were developed to meet the best optimization in Economic Dispatch. Particle Swarm Optimization PSO is one of the most widely used to optimize the system to due flexibility and efficiency. Therefore, need to further study performance PSO to be implemented in Economic Dispatch for balancing supply and load demand. The objective of this study to compare multiple set of generators for dispatching to determine fuel cost whereby optimization can be achieved using the PSO technique. This project proposed MATLAB Software for simulation work. In the end, the results would help to determine the best approach using PSO thus allowing optimization on the system.
format	Thesis
qualification_level	Master's degree
author	Aminuddin, Nordin
author_facet	Aminuddin, Nordin
author_sort	Aminuddin, Nordin
title	An overview performance of particle swarm optimization for Economic Dispatch
title_short	An overview performance of particle swarm optimization for Economic Dispatch
title_full	An overview performance of particle swarm optimization for Economic Dispatch
title_fullStr	An overview performance of particle swarm optimization for Economic Dispatch
title_full_unstemmed	An overview performance of particle swarm optimization for Economic Dispatch
title_sort	overview performance of particle swarm optimization for economic dispatch
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2022
url	http://eprints.utm.my/id/eprint/99549/1/NordinAminuddinMSKE2022.pdf
_version_	1776100617248309248

An overview performance of particle swarm optimization for Economic Dispatch

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