Publication:
Integrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variations

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dc.citedby0
dc.contributor.authorAbdullah A.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorOthman M.M.en_US
dc.contributor.authorRahim S.R.A.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorShaaya S.A.en_US
dc.contributor.authorSenthil Kumar A.V.en_US
dc.contributor.authorid57197864035en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid35944613200en_US
dc.contributor.authorid11639107900en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid16022846200en_US
dc.contributor.authorid56888921600en_US
dc.date.accessioned2025-03-03T07:46:45Z
dc.date.available2025-03-03T07:46:45Z
dc.date.issued2024
dc.description.abstractAs power consumption rises, it is essential to minimize line loss to maintain uninterrupted service to the end customer. Expansion of existing power plants has numerous environmental and economic hurdles, necessitating a careful analysis of local best options. As a result, several Distributed Generation (DG) technologies have been integrated into the power system. This paper introduces Integrated Immune Moth Flame Evolutionary Programming (IIMFEP) as a new hybrid method for planning distributed generation in distribution systems. The IIMFEP determines the optimal sizing and placement of DG Type II that supplies reactive power under load variations to mitigate power loss in a system. Utilizing the IEEE 69-Bus Radial Distribution Systems (RDS), a comparison is made between the IIMFEP method and Moth Flame Optimization (MFO), Artificial Immune System (AIS) and Evolutionary Programming (EP). The IIMFEP outperformed the other three techniques, which managed to achieve the lowest total system power loss. As the system?s real and reactive loads increase, so does the system?s overall power loss. Therefore, DGs must inject more reactive power to compensate for the power loss. The research findings�indicate that the proposed IIMFEP reduces system power losses more effectively. The proposed IIMFEP is, therefore, a viable alternative solution addressing optimal DG difficulties in RDS. ? The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-97-3940-0_75
dc.identifier.epage688
dc.identifier.scopus2-s2.0-85198751519
dc.identifier.spage682
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85198751519&doi=10.1007%2f978-981-97-3940-0_75&partnerID=40&md5=8f54bf09b76167221376240996c551d2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/37028
dc.identifier.volume1208 LNEE
dc.pagecount6
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Electrical Engineering
dc.subjectComputer programming
dc.subjectElectric loads
dc.subjectReactive power
dc.subjectRisk management
dc.subjectDistribution systems
dc.subjectIntelligent techniques
dc.subjectLine loss
dc.subjectLoad variations
dc.subjectLoss control
dc.subjectOptimal placement and sizings
dc.subjectOptimisations
dc.subjectPowerloss
dc.subjectRadial distribution systems
dc.subjectUnder loads
dc.subjectDistributed power generation
dc.titleIntegrated Intelligent Technique for Loss Control in Distribution System via Distributed Generation Installation Under Load Variationsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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