Multi area economic dispatch using particle swarm optimization

Multi-area Economic Dispatch (MAED) is an important issue in power system operation and generation which the main aim is to achieve minimal cost. In previous paper, the consideration is only on single area economic dispatch. However, this cannot represent power generation as an overall on transmissi...

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Main Author:	Yong, Kelvin Hong Chien
Format:	Thesis
Language:	English
Published:	2019
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/84070/1/KelvinYongHongMSKE2019.pdf
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id	my-utm-ep.84070
record_format	uketd_dc
spelling	my-utm-ep.840702019-12-16T01:53:20Z Multi area economic dispatch using particle swarm optimization 2019 Yong, Kelvin Hong Chien TK Electrical engineering. Electronics Nuclear engineering Multi-area Economic Dispatch (MAED) is an important issue in power system operation and generation which the main aim is to achieve minimal cost. In previous paper, the consideration is only on single area economic dispatch. However, this cannot represent power generation as an overall on transmission network. Particle Swarm Optimization (PSO) is used to find optimum cost of generation by considering the constraints such as tie-line limit, area power balance and transmission line losses. In this paper, the algorithm with respect to predicted load demand is tested on a two area network with three set of test data consists of 4 Units, 6 Units and 40 Units system. The proposed methodology to solve MAED problem begins with finding range of area power demands for each area by incorporating the tie line limits. Area with cheaper fuel cost will be selected to export power to area with high demand. In order to design this algorithm, the assumption are no losses in tie-line and fix amount of power flow through the tie-line. Comparison were performed with respect to Genetic Algorithm (GA) and PSO for solving the MAED problem in practical power system. PSO has shown a better result than GA for all the three case studies. 2019 Thesis http://eprints.utm.my/id/eprint/84070/ http://eprints.utm.my/id/eprint/84070/1/KelvinYongHongMSKE2019.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:126589 masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty 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 Yong, Kelvin Hong Chien Multi area economic dispatch using particle swarm optimization
description	Multi-area Economic Dispatch (MAED) is an important issue in power system operation and generation which the main aim is to achieve minimal cost. In previous paper, the consideration is only on single area economic dispatch. However, this cannot represent power generation as an overall on transmission network. Particle Swarm Optimization (PSO) is used to find optimum cost of generation by considering the constraints such as tie-line limit, area power balance and transmission line losses. In this paper, the algorithm with respect to predicted load demand is tested on a two area network with three set of test data consists of 4 Units, 6 Units and 40 Units system. The proposed methodology to solve MAED problem begins with finding range of area power demands for each area by incorporating the tie line limits. Area with cheaper fuel cost will be selected to export power to area with high demand. In order to design this algorithm, the assumption are no losses in tie-line and fix amount of power flow through the tie-line. Comparison were performed with respect to Genetic Algorithm (GA) and PSO for solving the MAED problem in practical power system. PSO has shown a better result than GA for all the three case studies.
format	Thesis
qualification_level	Master's degree
author	Yong, Kelvin Hong Chien
author_facet	Yong, Kelvin Hong Chien
author_sort	Yong, Kelvin Hong Chien
title	Multi area economic dispatch using particle swarm optimization
title_short	Multi area economic dispatch using particle swarm optimization
title_full	Multi area economic dispatch using particle swarm optimization
title_fullStr	Multi area economic dispatch using particle swarm optimization
title_full_unstemmed	Multi area economic dispatch using particle swarm optimization
title_sort	multi area economic dispatch using particle swarm optimization
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2019
url	http://eprints.utm.my/id/eprint/84070/1/KelvinYongHongMSKE2019.pdf
_version_	1747818438096584704

Multi area economic dispatch using particle swarm optimization

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