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Application of immune log-normal evolutionary programming in distributed generation installation

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dc.citedby5
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorOthman M.M.en_US
dc.contributor.authorShaaya S.A.en_US
dc.contributor.authorSyed Mustaffa S.A.en_US
dc.contributor.authorid56372667100en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid35944613200en_US
dc.contributor.authorid16022846200en_US
dc.contributor.authorid57189288788en_US
dc.date.accessioned2023-05-29T06:38:27Z
dc.date.available2023-05-29T06:38:27Z
dc.date.issued2017
dc.description.abstractNowadays, the location and sizing of distributed generation (DG) units in power system network are crucial to be at optimal as it will affect the power system operation in terms of stability and security. In this paper, a new technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) is applied to find the optimal location and size of distributed generation units in power system network. Voltage stability is considered in solving this problem. The proposed technique has been tested on the IEEE 26 bus Reliability Test System to find the optimal location and size of distributed generation in transmission network. In order to study the performance of ILNEP technique in solving DG Installation problem, the results produced by ILNEP were compared with other meta-heuristic techniques like evolutionary programming (EP) and artificial immune system (AIS). It is found that the proposed technique gives better solution in term of lower total system loss compared to the other two techniques. � 2017 Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v6.i3.pp730-736
dc.identifier.epage736
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85020777694
dc.identifier.spage730
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85020777694&doi=10.11591%2fijeecs.v6.i3.pp730-736&partnerID=40&md5=83bc96632dfe566ab69fff7fffb0ffe7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23210
dc.identifier.volume6
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleApplication of immune log-normal evolutionary programming in distributed generation installationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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