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Evolutionary symbiotic organisms search technique in power scheduling for loss control in power transmission system

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dc.citedby2
dc.contributor.authorFarid N.M.M.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorHannon N.H.S.en_US
dc.contributor.authorAmroune M.en_US
dc.contributor.authorOthman Z.en_US
dc.contributor.authorOthman M.M.en_US
dc.contributor.authorShaaya S.A.en_US
dc.contributor.authorZamani M.K.M.en_US
dc.contributor.authorAminuddin N.en_US
dc.contributor.authorid57211491087en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid57211493427en_US
dc.contributor.authorid57204745122en_US
dc.contributor.authorid55444853000en_US
dc.contributor.authorid35944613200en_US
dc.contributor.authorid16022846200en_US
dc.contributor.authorid57193428895en_US
dc.contributor.authorid57211493660en_US
dc.date.accessioned2023-05-29T07:28:56Z
dc.date.available2023-05-29T07:28:56Z
dc.date.issued2019
dc.description.abstractThis paper introduces Evolutionary Symbiotic Organisms Search (ESOS) as an optimizing method for loss minimization in power system. It is inspired by the evolution and interactions between organisms to survive in the ecosystem. Symbiotic Organisms Search (SOS) integrated with Evolutionary Programming (EP) is proposed for solving power scheduling problem in the attempt to control the loss values in electric power system. In this study, SOS algorithm was improvised by adding the element of EP in the determination of best combination of power scheduling in loss minimization. The technique is tested on IEEE 30-Bus Reliability System (RTS) to improve the power loss. To realize the effectiveness of the proposed ESOS technique, several scenarios were considered involving several generator units to participate in the scheduling scheme. Results from the study revealed that the proposed ESOS technique is superior than the traditional EP and SOS. This is quite convincing for further implementation in a larger system or complicated problems such as multi-objective optimization schemes. � 2019, World Academy of Research in Science and Engineering. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo74
dc.identifier.doi10.30534/ijatcse/2019/7481.32019
dc.identifier.epage437
dc.identifier.issue1.3 S1
dc.identifier.scopus2-s2.0-85074174043
dc.identifier.spage431
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85074174043&doi=10.30534%2fijatcse%2f2019%2f7481.32019&partnerID=40&md5=cb7184e5f6f07d12dd52cd8d0f6f3c14
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24924
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.titleEvolutionary symbiotic organisms search technique in power scheduling for loss control in power transmission systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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