Unit commitment scheduling using particle swarm optimization

An important criterion in power system operation is to meet the power demand at minimum fuel cost using an optimal mix of different power plants. Moreover, in order to supply electric power to customers in a secured and economic manner, thermal unit commitment is considered to be one of the best ava...

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Main Author:	Alhaji, Dodo Mustapha
Format:	Thesis
Language:	English
Published:	2018
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/85793/1/DodoMustaphaAlhajiMSKE2018.pdf
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id	my-utm-ep.85793
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spelling	my-utm-ep.857932020-07-30T07:34:25Z Unit commitment scheduling using particle swarm optimization 2018 Alhaji, Dodo Mustapha TK Electrical engineering. Electronics Nuclear engineering An important criterion in power system operation is to meet the power demand at minimum fuel cost using an optimal mix of different power plants. Moreover, in order to supply electric power to customers in a secured and economic manner, thermal unit commitment is considered to be one of the best available options. It is thus recognized that the optimal unit commitment of thermal systems results in a great saving for electric utilities. Unit Commitment is the problem of determining the schedule of generating units subject to device and operating constraints. The formulation of unit commitment has been discussed and an algorithm based on Particle Swarm Optimization technique, which is a population based global search, has been developed to solve the unit commitment problem. The algorithms which was written in MATLAB codes was implemented on IEEE six bus system. The results showed that PSO is effective in producing optimal solution for UC problem with minimised operating cost within 45 minute execution time. 2018 Thesis http://eprints.utm.my/id/eprint/85793/ http://eprints.utm.my/id/eprint/85793/1/DodoMustaphaAlhajiMSKE2018.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:132665 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 Alhaji, Dodo Mustapha Unit commitment scheduling using particle swarm optimization
description	An important criterion in power system operation is to meet the power demand at minimum fuel cost using an optimal mix of different power plants. Moreover, in order to supply electric power to customers in a secured and economic manner, thermal unit commitment is considered to be one of the best available options. It is thus recognized that the optimal unit commitment of thermal systems results in a great saving for electric utilities. Unit Commitment is the problem of determining the schedule of generating units subject to device and operating constraints. The formulation of unit commitment has been discussed and an algorithm based on Particle Swarm Optimization technique, which is a population based global search, has been developed to solve the unit commitment problem. The algorithms which was written in MATLAB codes was implemented on IEEE six bus system. The results showed that PSO is effective in producing optimal solution for UC problem with minimised operating cost within 45 minute execution time.
format	Thesis
qualification_level	Master's degree
author	Alhaji, Dodo Mustapha
author_facet	Alhaji, Dodo Mustapha
author_sort	Alhaji, Dodo Mustapha
title	Unit commitment scheduling using particle swarm optimization
title_short	Unit commitment scheduling using particle swarm optimization
title_full	Unit commitment scheduling using particle swarm optimization
title_fullStr	Unit commitment scheduling using particle swarm optimization
title_full_unstemmed	Unit commitment scheduling using particle swarm optimization
title_sort	unit commitment scheduling using particle swarm optimization
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2018
url	http://eprints.utm.my/id/eprint/85793/1/DodoMustaphaAlhajiMSKE2018.pdf
_version_	1747818456678400000

Unit commitment scheduling using particle swarm optimization

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