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Simultaneous Allocation of DG and DSTATCOM Using Whale Optimization Algorithm

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dc.citedby31
dc.contributor.authorYuvaraj T.en_US
dc.contributor.authorDevabalaji K.R.en_US
dc.contributor.authorThanikanti S.B.en_US
dc.contributor.authorid56926781500en_US
dc.contributor.authorid56267369700en_US
dc.contributor.authorid56267551500en_US
dc.date.accessioned2023-05-29T08:09:54Z
dc.date.available2023-05-29T08:09:54Z
dc.date.issued2020
dc.description.abstractThis paper proposed a new methodology based on nature-enthused meta-heuristic optimization algorithm named as whale optimization algorithm (WOA), which can significantly envisage problems for simultaneous allocation of distributed generation (DG) and Distribution STATic COMpensator (DSTATCOM) in the radial distribution systems (RDS). In the proposed method, optimal locations and sizing of the DG and DSTATCOM can be determined by loss sensitivity factor and WOA, respectively. The objective function of the proposed method is to minimize the system�s total power losses and total operating cost of DG and DSTATCOM. The proposed method is applied to well-known IEEE 33-bus and large 136-bus RDS. The attained simulation results and comparison of different cases considered leads to allocation of DG and DSTATCOM combination resulting in significant power loss reduction with good voltage profile enhancement. � 2019, Shiraz University.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s40998-019-00272-w
dc.identifier.epage896
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85074043352
dc.identifier.spage879
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85074043352&doi=10.1007%2fs40998-019-00272-w&partnerID=40&md5=0b4b362f833c53a5d9fa336bc4d42e23
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25477
dc.identifier.volume44
dc.publisherSpringeren_US
dc.sourceScopus
dc.sourcetitleIranian Journal of Science and Technology - Transactions of Electrical Engineering
dc.titleSimultaneous Allocation of DG and DSTATCOM Using Whale Optimization Algorithmen_US
dc.typeArticleen_US
dspace.entity.typePublication
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