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Artificial immune systems (GA-AIS) enabled power loss mitigation in distributed generation: X3PAIS optimization approaches

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dc.citedby0
dc.contributor.authorAhmed O.A.en_US
dc.contributor.authorChong K.H.en_US
dc.contributor.authorKoh S.P.en_US
dc.contributor.authorYaw C.T.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorid33267553600en_US
dc.contributor.authorid36994481200en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid36560884300en_US
dc.contributor.authorid11340187300en_US
dc.date.accessioned2025-03-03T07:42:02Z
dc.date.available2025-03-03T07:42:02Z
dc.date.issued2024
dc.description.abstractThe distribution network is a crucial component of the power system, with industrialization driving increased energy demand. Traditional power-generating techniques, such as thermal and hydroelectric are not enough to meet this demand, leading to the development of Distributed Generation (DG). DG requires an extensive re-evaluation of the current power system, as it modifies energy losses and line flows. Inadequate integration of DG can cause power outages, disruption of protection coordination, and lead to islanding. AI can help overcome this issue by determining the best system architecture. Researchers have been interested in the Artificial Immune System (AIS) algorithm, which has room for development and lacks a fixed template. In order to improve AIS, X3PAIS, a hybridization strategy that combines clonal selection with a three-parent crossover has been developed within the scope of the study. X3PAIS was pre-tested using applications in a planetary gear train, a wastewater treatment facility, and mathematical calculations, showcasing its robustness and versatility. In the context of power distribution, X3PAIS is used in the multiple DG architecture of the power distribution system, reducing power losses by placing DG units in the best locations and sizing them to match load profiles. The four DGs' experiment results show that X3PAIS can minimize power losses by more than 89 %. To optimize power losses in the power distribution system, X3PAIS may be improved with a three-parent multiple-point crossover operation. ? 2024en_US
dc.description.natureFinalen_US
dc.identifier.ArtNoe37332
dc.identifier.doi10.1016/j.heliyon.2024.e37332
dc.identifier.issue18
dc.identifier.scopus2-s2.0-85203411854
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85203411854&doi=10.1016%2fj.heliyon.2024.e37332&partnerID=40&md5=e2c22afe2470a4fa9b74c9b07b943af6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36351
dc.identifier.volume10
dc.publisherElsevier Ltden_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleHeliyon
dc.titleArtificial immune systems (GA-AIS) enabled power loss mitigation in distributed generation: X3PAIS optimization approachesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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