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Index-based transmission for distributed generation in voltage stability and loss control incorporating optimization technique

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dc.citedby3
dc.contributor.authorKahar F.D.A.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorNazer M.F.M.en_US
dc.contributor.authorJelani S.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorid57216806456en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid57215489328en_US
dc.contributor.authorid57193388570en_US
dc.contributor.authorid56372667100en_US
dc.date.accessioned2023-05-29T08:09:49Z
dc.date.available2023-05-29T08:09:49Z
dc.date.issued2020
dc.description.abstractThe integration of Distributed Generation (DG) in a distribution network may significantly affect distribution performance. With the penetration of DG, voltage security is no longer an issue in the transmission network. This paper presents a study of Distributed Generation on the IEEE 26-Bus Reliability Test System (RTS) with the use of Fast Voltage Stability Index (FVSI) for determining its location and incorporated with Grasshopper Optimization Algorithm (GOA) to optimize the sizing of the DG. The study emphasizes the power loss of the system in which a comparison between Evolutionary Programming (EP) and Grasshopper Optimization Algorithm is done to determine which optimization technique gives an optimal result for the DG solution. The results show that the proposed algorithm is able to provide a slightly better result compared to EP. � 2020, Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijai.v9.i2.pp244-251
dc.identifier.epage251
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85084746883
dc.identifier.spage244
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85084746883&doi=10.11591%2fijai.v9.i2.pp244-251&partnerID=40&md5=041816b0f82c05a6e1444e1bc13261bb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25470
dc.identifier.volume9
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Bronze, Green
dc.sourceScopus
dc.sourcetitleIAES International Journal of Artificial Intelligence
dc.titleIndex-based transmission for distributed generation in voltage stability and loss control incorporating optimization techniqueen_US
dc.typeArticleen_US
dspace.entity.typePublication
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