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Optimal sizing and location of distributed generation for loss minimization using firefly algorithm

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dc.citedby12
dc.contributor.authorBin Kamarudin M.N.en_US
dc.contributor.authorHashim T.J.T.en_US
dc.contributor.authorMusa A.en_US
dc.contributor.authorid57193669108en_US
dc.contributor.authorid55241766100en_US
dc.contributor.authorid57205693832en_US
dc.date.accessioned2023-05-29T07:26:22Z
dc.date.available2023-05-29T07:26:22Z
dc.date.issued2019
dc.description.abstractDistributed generation (DG) plays an important role in improving power quality as well as system realibility. As the incorporation of DG in the power distribution network creates several problems to the network operators, locating a suitable capacity and placement for DG will essentially help to improve the quality of power delivery to the end users. This paper presents the simulation of an application of firefly algorithm (FA) for optimally locating the most suitable placement and capacity of distributed generation (DG) in IEEE 33-bus radial distribution network. This strategy aims at minimizing losses together with improving the voltage profile in distribution network. The losses in real power and voltages at each bus are obtained using load flow analysis which was performed on an IEEE 33-bus radial distribution network using forward sweep method. The proposed method comprises of simulation of the test system with DG as well as in the absence of DG in the system. A comparison between the Firefly Algorithm (FA) with Genetic Algorithm (GA) is also demonstrated in this paper. The results obtained have proven that the Firefly Algorithm has a better capability at improving both the voltage profile and the power losses in the system. � 2019 Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v14.i1.pp421-427
dc.identifier.epage427
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85061150882
dc.identifier.spage421
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85061150882&doi=10.11591%2fijeecs.v14.i1.pp421-427&partnerID=40&md5=b46cd788e408ee5e285720012b21a182
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24731
dc.identifier.volume14
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Hybrid Gold
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleOptimal sizing and location of distributed generation for loss minimization using firefly algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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