Publication:
Computational Intelligence Based Technique for Multi-DG Installation in Transmission System

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dc.citedby1
dc.contributor.authorSahilahudin M.F.F.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorJelani S.en_US
dc.contributor.authorMansor M.H.en_US
dc.contributor.authorid57215061260en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid57193388570en_US
dc.contributor.authorid56372667100en_US
dc.date.accessioned2023-05-29T08:11:06Z
dc.date.available2023-05-29T08:11:06Z
dc.date.issued2020
dc.descriptionComputer programming; Electric power transmission; Installation; Transmissions; Wave transmission; Electricity demands; Loss minimization; Power transmission systems; Reliability test system; System environment; Transmission loss; Transmission systems; Voltage profile improvement; Electric load lossen_US
dc.description.abstractThe increasing electricity demand in transmission system has caused the power transmission system experiencing stress condition. This phenomenon has forced the system to need urgent additional supply to maintain system adequacy, in particular the de-regulated power system environment. Distributed generation (DG) has been identified as one of the possible solutions to address this issue. DG installation has the capability to reduce transmission loss and improve the voltage profile. This paper presents evolutionary programming (EP) technique for optimizing the sizing and locations in DG installation. In this study, several DGs have been installed to address the voltage profile improvement and loss minimization; implemented on the IEEE 30-Bus Reliability Test System (RTS). Results obtained from the study revealed that, installation of multi-DGs in a transmission system has significantly minimized the transmission loss along with voltage profile improvement. � 2020 The Authors, published by EDP Sciences.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo3001
dc.identifier.doi10.1051/e3sconf/202015203001
dc.identifier.scopus2-s2.0-85079747539
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85079747539&doi=10.1051%2fe3sconf%2f202015203001&partnerID=40&md5=150993c6039e26f35910456273332968
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25573
dc.identifier.volume152
dc.publisherEDP Sciencesen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleE3S Web of Conferences
dc.titleComputational Intelligence Based Technique for Multi-DG Installation in Transmission Systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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