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Optimal Location-Reallocation of Battery Energy Storage Systems in DC Microgrids

dc.contributor.authorMontoya, Oscar Danilo
dc.contributor.authorGil-González, Walter
dc.contributor.authorRivas-Trujillo, Edwin
dc.coverage.spatialCartagena de Indias
dc.date.accessioned2020-10-30T16:40:40Z
dc.date.available2020-10-30T16:40:40Z
dc.date.issued2020-05-05
dc.date.submitted2020-10-29
dc.identifier.citationMontoya, O.D.; Gil-González, W.; Rivas-Trujillo, E. Optimal Location-Reallocation of Battery Energy Storage Systems in DC Microgrids. Energies 2020, 13, 2289.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9518
dc.description.abstractThis paper deals with the problem of optimal location and reallocation of battery energy storage systems (BESS) in direct current (dc) microgrids with constant power loads. The optimization model that represents this problem is formulated with two objective functions. The first model corresponds to the minimization of the total daily cost of buying energy in the spot market by conventional generators and the second to the minimization of the costs of the daily energy losses in all branches of the network. Both the models are constrained by classical nonlinear power flow equations, distributed generation capabilities, and voltage regulation, among others. These formulations generate a nonlinear mixed-integer programming (MINLP) model that requires special methods to be solved. A dc microgrid composed of 21-nodes with existing BESS is used for validating the proposed mathematical formula. This system allows to identify the optimal location or reallocation points for these batteries by improving the daily operative costs regarding the base cases. All the simulations are conducted via the general algebraic modeling system, widely known as the General Algebraic Modeling System (GAMS).spa
dc.format.extent20 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceEnergies 2020, 13(9), 2289spa
dc.titleOptimal Location-Reallocation of Battery Energy Storage Systems in DC Microgridsspa
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datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.identifier.urlhttps://www.mdpi.com/1996-1073/13/9/2289
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.identifier.doi10.3390/en13092289
dc.subject.keywordsBattery energy storage systemspa
dc.subject.keywordsEconomic dispatch problemspa
dc.subject.keywordsNonlinear programming formulationspa
dc.subject.keywordsOptimal reallocation of batteriesspa
dc.subject.keywordsMathematical optimizationspa
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.type.spaArtículospa
dc.audiencePúblico generalspa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_2df8fbb1spa


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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.