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An improved crow search algorithm applied to the phase swapping problem in asymmetric distribution systems

dc.contributor.authorCortés-Caicedo, Brandon
dc.contributor.authorAvellaneda-Gómez, Laura Sofía
dc.contributor.authorMontoya Giraldo, Oscar Danilo
dc.contributor.authorAlvarado-Barrios, Lázaro
dc.date.accessioned2022-03-22T13:16:55Z
dc.date.available2022-03-22T13:16:55Z
dc.date.issued2021-07-23
dc.date.submitted2022-03-18
dc.identifier.citationCortés-Caicedo, B.; Avellaneda-Gómez, L.S.; Montoya, O.D.; Alvarado-Barrios, L.; Álvarez-Arroyo, C. An Improved Crow Search Algorithm Applied to the Phase Swapping Problem in Asymmetric Distribution Systems. Symmetry 2021, 13, 1329. https://doi.org/10.3390/sym13081329spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/10634
dc.description.abstractThis paper discusses the power loss minimization problem in asymmetric distribution systems (ADS) based on phase swapping. This problem is presented using a mixed-integer nonlinear programming model, which is resolved by applying a master–slave methodology. The master stage consists of an improved version of the crow search algorithm. This stage is based on the generation of candidate solutions using a normal Gaussian probability distribution. The master stage is responsible for providing the connection settings for the system loads using integer coding. The slave stage uses a power flow for ADSs based on the three-phase version of the iterative sweep method, which is used to determine the network power losses for each load connection supplied by the master stage. Numerical results on the 8-, 25-, and 37-node test systems show the efficiency of the proposed approach when compared to the classical version of the crow search algorithm, the Chu and Beasley genetic algorithm, and the vortex search algorithm. All simulations were obtained using MATLAB and validated in the DigSILENT power system analysis software.spa
dc.format.extent20 Páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceSymmetry, vol. 13 N° 8 (2021)spa
dc.titleAn improved crow search algorithm applied to the phase swapping problem in asymmetric distribution systemsspa
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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.doihttps://doi.org/10.3390/sym13081329
dc.subject.keywordsImproved crow search algorithmspa
dc.subject.keywordsNormal Gaussian distributionspa
dc.subject.keywordsPhase swapping problemspa
dc.subject.keywordsPower lossesspa
dc.subject.keywordsAsymmetric distribution gridsspa
dc.subject.keywordsVortex search algorithmspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 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_6501spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501spa


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