Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/20827
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dc.contributor.authorRoslan N.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorAzahari W.M.M.W.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorAzwaShaaya S.en_US
dc.date.accessioned2021-08-04T02:41:58Z-
dc.date.available2021-08-04T02:41:58Z-
dc.date.issued2020-
dc.identifier.urihttp://dspace2020.uniten.edu.my:8080/handle/123456789/20827-
dc.description.abstractThis paper presents the application of a modified Artificial Immune System (AIS) technique to determine the optimal location and sizing of Distributed Generation (DG) in transmission network. The technique is termed as Multistage Artificial Immune System (MAIS). The IEEE 26-Bus Reliability Test System (RTS) has been utilized to conduct the implementation. Prior to the MAIS deployment, the original Artificial Immune System (AIS) technique has been used to find the optimal placement of the DG units in the IEEE 26-Bus RTS. This is for comparative study purposes. Three case studies with different conditions of transmission network have been introduced in finding the optimal location and sizing of the DG units. It is found that MAIS is superior than the original AIS in finding the optimal placement of the DG units in the transmission network in terms of producing low total system loss. © 2020, World Academy of Research in Science and Engineering. All rights reserved.en_US
dc.language.isoenen_US
dc.titleOptimal placement of distributed generation in transmission network for loss minimization via multistage artificial immune systemen_US
dc.typearticleen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.grantfulltextreserved-
item.openairetypearticle-
item.cerifentitytypePublications-
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