A comprehensive review of recent advances in optimal allocation methods for distributed renewable generation

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dc.authoridTERCAN, Said Mirza/0000-0003-1663-713X
dc.authoridDemirci, Alpaslan/0000-0002-1038-7224
dc.authoridELMA, Onur/0000-0002-4812-2117
dc.contributor.authorTercan, Said Mirza
dc.contributor.authorDemirci, Alpaslan
dc.contributor.authorUnutmaz, Yesim Esra
dc.contributor.authorElma, Onur
dc.contributor.authorYumurtaci, Recep
dc.date.accessioned2025-01-27T20:52:25Z
dc.date.available2025-01-27T20:52:25Z
dc.date.issued2023
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractDistributed generation (DG) has a key role in enlarging the implementation of renewable energy resources (RES). However, the intermittent and uncontrollable nature of RES can lead to several severe power quality-related issues. Therefore, many efforts have been made to overcome these issues by optimizing DG sizes and locations. Hence, optimal DG allocation (ODGA) is significant for DG performance and provides advantages to the power system, such as improved power quality, voltage stability, reliability, and profitability. This study reviews recent ODGA studies eliminating the main DG integration problems. Often used ODGA methods have been categorized, and the main differences have been discussed, giving the details of features of optimization methods such as convergence performance and computational burden. A deep analysis for categorizing the objectives of ODGA has been done. In addition, optimization methods applied in ODGA studies have been presented by comparing the superiorities of algorithms and validated test network models. The objectives and significant findings of the ODGA applications are summarized with the advantages and disadvantages. It can be concluded that ODGA has a critical role in RES integration on the DG side and in reducing carbon emissions. This paper leads and provides a perspective for researchers working on recent ODGA methods.
dc.identifier.doi10.1049/rpg2.12815
dc.identifier.endpage3150
dc.identifier.issn1752-1416
dc.identifier.issn1752-1424
dc.identifier.issue12
dc.identifier.scopus2-s2.0-85166745664
dc.identifier.scopusqualityQ2
dc.identifier.startpage3133
dc.identifier.urihttps://doi.org/10.1049/rpg2.12815
dc.identifier.urihttps://hdl.handle.net/20.500.12428/25757
dc.identifier.volume17
dc.identifier.wosWOS:001042837700001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInst Engineering Technology-Iet
dc.relation.ispartofIet Renewable Power Generation
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20250125
dc.subjectdistributed power generation
dc.subjectoptimization
dc.subjectresource allocation
dc.titleA comprehensive review of recent advances in optimal allocation methods for distributed renewable generation
dc.typeReview Article

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