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Reduction of losses and operating costs in distribution networks using a genetic algorithm and mathematical optimization

dc.contributor.authorRiaño, Fabio Edison
dc.contributor.authorCruz, Jonathan Felipe
dc.contributor.authorMontoya, Oscar Danilo
dc.contributor.authorChamorro, Harold R.
dc.contributor.authorAlvarado-Barrios, Lázaro
dc.date.accessioned2021-07-29T19:16:53Z
dc.date.available2021-07-29T19:16:53Z
dc.date.issued2021-02-09
dc.date.submitted2021-07-29
dc.identifier.citationRiaño, F.E.; Cruz, J.F.; Montoya, O.D.; Chamorro, H.R.; Alvarado-Barrios, L. Reduction of Losses and Operating Costs in Distribution Networks Using a Genetic Algorithm and Mathematical Optimization. Electronics 2021, 10, 419. https://doi.org/10.3390/electronics10040419spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/10335
dc.description.abstractThis study deals with the minimization of the operational and investment cost in the distribution and operation of the power flow considering the installation of fixed-step capacitor banks. This issue is represented by a nonlinear mixed-integer programming mathematical model which is solved by applying the Chu and Beasley genetic algorithm (CBGA). While this algorithm is a classical method for resolving this type of optimization problem, the solutions found using this approach are better than those reported in the literature using metaheuristic techniques and the General Algebraic Modeling System (GAMS). In addition, the time required for the CBGA to get results was reduced to a few seconds to make it a more robust, efficient, and capable tool for distribution system analysis. Finally, the computational sources used in this study were developed in the MATLAB programming environment by implementing test feeders composed of 10, 33, and 69 nodes with radial and meshed configurations.spa
dc.description.sponsorshipUniversidad Tecnológica de Bolívarspa
dc.format.extent21 páginas
dc.format.mediumRecurso en línea / Electrónico
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourceElectronics 2021, 10, 419.spa
dc.titleReduction of losses and operating costs in distribution networks using a genetic algorithm and mathematical optimizationspa
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datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/restrictedAccessspa
dc.identifier.doi10.3390/electronics10040419
dc.subject.keywordsChu and Beasley genetic algorithmspa
dc.subject.keywordsDiscrete codificationspa
dc.subject.keywordsFixed-step capacitor banksspa
dc.subject.keywordsOperative costs minimizationspa
dc.subject.keywordsCombinatorial optimizationspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAtribución-NoComercial 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.audienceInvestigadoresspa
dc.publisher.sedeCampus Tecnológicospa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.publisher.disciplineIngeniería Eléctricaspa


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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.