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Optimal power scheduling strategy in power systems using swarm optimization technique

This study proposes a power scheduling strategy for power system networks by using PSO technique. This strategy searches for the optimal power for each generating unit in the system, without compromising the total power demands and constraints of each unit. The objective function aims to minimize th...

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Main Authors: Kamari, N.A.M., Rahmat, N.A., Musirin, I.
Format: Article
Language:English
Published: 2020
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spelling my.uniten.dspace-133032020-07-03T05:28:14Z Optimal power scheduling strategy in power systems using swarm optimization technique Kamari, N.A.M. Rahmat, N.A. Musirin, I. This study proposes a power scheduling strategy for power system networks by using PSO technique. This strategy searches for the optimal power for each generating unit in the system, without compromising the total power demands and constraints of each unit. The objective function aims to minimize the total generation cost. The amount of power loss is measured to determine the feasibility of the proposed technique. In addition, optimization processes using evolutionary programming (EP) and artificial immune system (AIS) are implemented. Five-and 30-bus power system networks are selected and processed using MATLAB. The simulation results indicate that PSO performs better than EP and AIS in determining the optimal power generation value with minimum generation cost and power loss. © 2019, World Academy of Research in Science and Engineering. All rights reserved. 2020-02-03T03:31:41Z 2020-02-03T03:31:41Z 2019 Article 10.30534/ijatcse/2019/3781.62019 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description This study proposes a power scheduling strategy for power system networks by using PSO technique. This strategy searches for the optimal power for each generating unit in the system, without compromising the total power demands and constraints of each unit. The objective function aims to minimize the total generation cost. The amount of power loss is measured to determine the feasibility of the proposed technique. In addition, optimization processes using evolutionary programming (EP) and artificial immune system (AIS) are implemented. Five-and 30-bus power system networks are selected and processed using MATLAB. The simulation results indicate that PSO performs better than EP and AIS in determining the optimal power generation value with minimum generation cost and power loss. © 2019, World Academy of Research in Science and Engineering. All rights reserved.
format Article
author Kamari, N.A.M.
Rahmat, N.A.
Musirin, I.
spellingShingle Kamari, N.A.M.
Rahmat, N.A.
Musirin, I.
Optimal power scheduling strategy in power systems using swarm optimization technique
author_facet Kamari, N.A.M.
Rahmat, N.A.
Musirin, I.
author_sort Kamari, N.A.M.
title Optimal power scheduling strategy in power systems using swarm optimization technique
title_short Optimal power scheduling strategy in power systems using swarm optimization technique
title_full Optimal power scheduling strategy in power systems using swarm optimization technique
title_fullStr Optimal power scheduling strategy in power systems using swarm optimization technique
title_full_unstemmed Optimal power scheduling strategy in power systems using swarm optimization technique
title_sort optimal power scheduling strategy in power systems using swarm optimization technique
publishDate 2020
_version_ 1672614221518471168
score 13.214268

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