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Optimal power scheduling strategy in power systems using swarm optimization technique

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dc.citedby2
dc.contributor.authorKamari N.A.M.en_US
dc.contributor.authorRahmat N.A.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorid36680312000en_US
dc.contributor.authorid55647163881en_US
dc.contributor.authorid8620004100en_US
dc.date.accessioned2023-05-29T07:28:08Z
dc.date.available2023-05-29T07:28:08Z
dc.date.issued2019
dc.description.abstractThis 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo37
dc.identifier.doi10.30534/ijatcse/2019/3781.62019
dc.identifier.epage251
dc.identifier.issue1.6 Special Issue
dc.identifier.scopus2-s2.0-85078336237
dc.identifier.spage246
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85078336237&doi=10.30534%2fijatcse%2f2019%2f3781.62019&partnerID=40&md5=0dfad6c5ef4c680eb2eb784c9670252f
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24870
dc.identifier.volume8
dc.publisherWorld Academy of Research in Science and Engineeringen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleInternational Journal of Advanced Trends in Computer Science and Engineering
dc.titleOptimal power scheduling strategy in power systems using swarm optimization techniqueen_US
dc.typeArticleen_US
dspace.entity.typePublication
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