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Optimal power dispatch of DGS in DC power grids: A hybrid gauss-seidel-genetic-algorithm methodology for solving the OPF problem

dc.creatorMontoya O.D.
dc.creatorGil-González W.
dc.creatorGrisales-Noreña L.F.
dc.date.accessioned2020-03-26T16:32:36Z
dc.date.available2020-03-26T16:32:36Z
dc.date.issued2018
dc.identifier.citationWSEAS Transactions on Power Systems; Vol. 13, pp. 335-346
dc.identifier.issn17905060
dc.identifier.urihttps://hdl.handle.net/20.500.12585/8915
dc.description.abstractThis paper addresses the optimal power flow (OPF) problem in direct current (DC) power grids via a hybrid Gauss-Seidel-Genetic-Algorithm methodology through a master-slave optimization strategy. In the master stage, a genetic algorithm is employed to select the power dispatch for any distributed generator while the slave stage, Gauss-Seidel method is used for solving the resulting power flow equations without recurring to matrix inversions. This approach is important since it can be easily implementable over any simple programming toolbox finding the optimal solution of the OPF problem. Genetic-Algorithm proposed in this paper corresponds to a continuous variant of the conventional binary approaches. Computational results show the efficiency and accuracy of the proposed optimization method when is compared to GAMS/CONOPT nonlinear solver. © 2018, World Scientific and Engineering Academy and Society. All rights reserved.eng
dc.description.sponsorshipDepartamento Administrativo de Ciencia, Tecnología e Innovación, COLCIENCIAS Department of Science, Information Technology and Innovation, Queensland Government
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-s2.0-85062268252&partnerID=40&md5=46edbfab70f6fb6b8d2d51e4c46870ae
dc.titleOptimal power dispatch of DGS in DC power grids: A hybrid gauss-seidel-genetic-algorithm methodology for solving the OPF problem
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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.keywordsDirect current power grids
dc.subject.keywordsDistributed generation
dc.subject.keywordsGauss-Seidel method
dc.subject.keywordsGenetic algorithm
dc.subject.keywordsHybrid master-slave optimization strategy
dc.subject.keywordsOptimal power flow problem
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 partially supported by the National Scholarship Program Doctorates of the Administrative Department of Science, Technology and Innovation of Colombia (COLCIENCIAS), by calling contest 727-2015.
dc.type.spaArtículo
dc.identifier.orcid56919564100
dc.identifier.orcid57191493648
dc.identifier.orcid55791991200


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