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Heuristic approach for optimal location and sizing of distributed generators in AC distribution networks

dc.creatorBocanegra S.Y.
dc.creatorMontoya O.D.
dc.date.accessioned2020-03-26T16:33:08Z
dc.date.available2020-03-26T16:33:08Z
dc.date.issued2019
dc.identifier.citationWSEAS Transactions on Power Systems; Vol. 14, pp. 113-121
dc.identifier.issn17905060
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9176
dc.description.abstractThis paper addresses, from a heuristic point of view, the problem of the optimal location and sizing of distributed generators (DGs) in alternating-current distribution networks with radial topology. A master–slave optimization approach is followed to place and size the DGs. In the master stage a simple recursive seach method based on sequential searching is proposed. In the case of the slave algorithm, we present an emerging metaheuristic for solving the optimal power flow problem. This metaheuristic is called the vortex search algorithm. It works with a Gaussian distribution and a variable radius function for exploring and exploiting the solution space. Numerical simulations of 33-and 69-node test feeders show its efficiency, simplicity and robusteness in comparison to other methods in the literature. © 2019, World Scientific and Engineering Academy and Society. All rights reserved.eng
dc.description.sponsorshipDepartment of Science, Information Technology and Innovation, Queensland Government, DSITI
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherWorld Scientific and Engineering Academy and Society
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85074023175&partnerID=40&md5=febc3f620a30a188a8a38469612b0b64
dc.titleHeuristic approach for optimal location and sizing of distributed generators in AC distribution networks
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datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driverinfo:eu-repo/semantics/article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.subject.keywordsDistributed generators
dc.subject.keywordsDistribution networks
dc.subject.keywordsHeuristic approach
dc.subject.keywordsOptimal power flow
dc.subject.keywordsPower loss minimization
dc.subject.keywordsVortex search optimization
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.description.notesThis work was supported in part by the Administrative Department of Science, Technology and Innovation of Colombia (COLCIEN-CIAS) through the National Scholarship Program under Grant 727-2015 and in part by the Universidad Tecnol?gica de Bol?var under Project C2019P020.
dc.type.spaArtículo
dc.identifier.orcid57211463604
dc.identifier.orcid56919564100


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.