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Optimal placement of distributed generation in transmission network for loss minimization via multistage artificial immune system

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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.contributor.authorid57205233093en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid57219421527en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid57219410512en_US
dc.date.accessioned2023-05-29T08:12:26Z
dc.date.available2023-05-29T08:12:26Z
dc.date.issued2020
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.description.natureFinalen_US
dc.identifier.doi10.30534/ijeter/2020/1081.12020
dc.identifier.epage72
dc.identifier.issue1 Special Issue 1
dc.identifier.scopus2-s2.0-85092617482
dc.identifier.spage68
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85092617482&doi=10.30534%2fijeter%2f2020%2f1081.12020&partnerID=40&md5=aab5d57399411f8f815b60a7680555e4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25665
dc.identifier.volume8
dc.publisherWorld Academy of Research in Science and Engineeringen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleInternational Journal of Emerging Trends in Engineering Research
dc.titleOptimal placement of distributed generation in transmission network for loss minimization via multistage artificial immune systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
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