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Integrated Clonal Accelerated Mutation Evolutionary Programming for Composite Compensation in Power System

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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.authorJelani S.en_US
dc.contributor.authorKumar A.V.S.en_US
dc.contributor.authorid57218371054en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid36559455000en_US
dc.contributor.authorid57193388570en_US
dc.contributor.authorid56888921600en_US
dc.date.accessioned2025-03-03T07:41:50Z
dc.date.available2025-03-03T07:41:50Z
dc.date.issued2024
dc.description.abstractIncreasing load in a traditional transmission system has led to the increase of current flow which also increases the I2R loss leading to monetary losses in the power system community. This will also affect the economic status of the utility which may require the utility to take possible appropriate remedial action. Thus, a compensation process can be performed to alleviate the high current flow which in turn reduces the monetary losses that can be experienced by the utility. This paper presents Multi Load Variability for Composite Compensation in Loss Control Scheme. In this study a new optimization technique termed Integrated Cloning Accelerated Mutation Evolutionary Programming (ICAMEP) is proposed to optimize the location and sizing for composite compensation in power transmission system for loss control scheme. Several variations in the loading variability were conducted to evaluate the effect of reactive power changes which influence loss value in power system. The effectiveness of the proposed ICAMEP algorithm was compared with respect to the traditional evolutionary programming (EP) and artificial immune system (AIS) optimization techniques for performance comparisons. Results from ICAMEP outperformed AIS and EP in terms of achieving lower transmission loss through the validation process in the IEEE 30-Bus Reliability Test System (RTS). This will benefit power system operators and planners for their expansion planning efforts. ? 2024 American Institute of Physics Inc.. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo50006
dc.identifier.doi10.1063/5.0207796
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85205516331
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85205516331&doi=10.1063%2f5.0207796&partnerID=40&md5=942e651003d6c561be6417908780d6af
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36297
dc.identifier.volume3115
dc.publisherAmerican Institute of Physicsen_US
dc.sourceScopus
dc.sourcetitleAIP Conference Proceedings
dc.titleIntegrated Clonal Accelerated Mutation Evolutionary Programming for Composite Compensation in Power Systemen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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