Publication:
Comparative Analysis for Loss Control in Power Transmission System via Composite Compensation Scheme

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dc.citedby0
dc.contributor.authorIsmail S.A.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorHamid Z.A.en_US
dc.contributor.authorSenthil Kumar A.V.en_US
dc.contributor.authorAbdullah A.en_US
dc.contributor.authorJelani S.en_US
dc.contributor.authorid57218371054en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid36559455000en_US
dc.contributor.authorid56888921600en_US
dc.contributor.authorid57197864035en_US
dc.contributor.authorid57193388570en_US
dc.date.accessioned2025-03-03T07:47:56Z
dc.date.available2025-03-03T07:47:56Z
dc.date.issued2024
dc.description.abstractLoss minimization in power system is still relevant in power system community. Its presence may lead to overcompensation or under-compensation if no proper compensation strategy is properly planned, especially a reliable optimization technique. One important initiative to alleviate the transmission burden which meets the load demand can be rectified by composite compensation scheme. This paper proposed a composite compensation which integrates the multiunit of distributed generation (DG) and optimal reactive power dispatch (ORPD) which identifies the amount of reactive power to be dispatched by the generators in the system. In this study, a new and fast mutation technique is introduced to the original evolutionary programming (EP) optimization technique. It is termed Integrated Cloning Accelerated Mutation Evolutionary Programming (ICAMEP). ICAMEP was introduced to alleviate the weakness in the standalone EP and AIS which normally stuck as local optima. The study identifies optimal locations and sizes for composite compensation in the power transmission system, demonstrating its superiority over traditional EP and artificial immune systems (AIS). The impact of multi DGs installation, validated on IEEE 30-Bus Reliability Test System (RTS) was analyzed which can help the relevant utility to make future plan and decision. ? 2024 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/ICPEA60617.2024.10498705
dc.identifier.epage156
dc.identifier.scopus2-s2.0-85191689883
dc.identifier.spage151
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85191689883&doi=10.1109%2fICPEA60617.2024.10498705&partnerID=40&md5=faf405b978d1177a04d32f166b6e7551
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37142
dc.pagecount5
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2024 IEEE 4th International Conference in Power Engineering Applications: Powering the Future: Innovations for Sustainable Development, ICPEA 2024
dc.subjectComputer programming
dc.subjectElectric load dispatching
dc.subjectEvolutionary algorithms
dc.subjectPower transmission
dc.subjectReactive power
dc.subjectRisk management
dc.subjectTransmissions
dc.subjectArtificial Immune System
dc.subjectComparative analyzes
dc.subjectCompensation scheme
dc.subjectComposite compensation
dc.subjectLoss control
dc.subjectLoss minimization, optimization technique
dc.subjectLosses minimizations
dc.subjectOptimization techniques
dc.subjectPower
dc.subjectPower transmission systems
dc.subjectElectric power transmission
dc.titleComparative Analysis for Loss Control in Power Transmission System via Composite Compensation Schemeen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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