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Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation

dc.contributor.authorGil González, Walter Julián
dc.contributor.authorMontoya Giraldo, Oscar Danilo
dc.contributor.authorGrisales-Noreña, Luis Fernando
dc.contributor.authorEscobar Mejía, Andrés
dc.date.accessioned2022-03-18T18:33:18Z
dc.date.available2022-03-18T18:33:18Z
dc.date.issued2021-12-10
dc.date.submitted2022-03-18
dc.identifier.citationGil-González, W.; Montoya, O.D.; Grisales-Noreña, L.F.; Escobar-Mejía, A. Optimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulation. Computation 2021, 9, 137. https://doi.org/10.3390/computation9120137spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/10625
dc.description.abstractThis paper deals with the multi-objective operation of battery energy storage systems (BESS) in AC distribution systems using a convex reformulation. The objective functions are CO2 emissions, and the costs of the daily energy losses are considered. The conventional non-linear nonconvex branch multi-period optimal power flow model is reformulated with a second-order cone programming (SOCP) model, which ensures finding the global optimum for each point present in the Pareto front. The weighting factors methodology is used to convert the multi-objective model into a convex single-objective model, which allows for finding the optimal Pareto front using an iterative search. Two operational scenarios regarding BESS are considered: (i) a unity power factor operation and (ii) a variable power factor operation. The numerical results demonstrate that including the reactive power capabilities in BESS reduces 200 kg of CO2 emissions and USD 80 per day of operation. All of the numerical validations were developed in MATLAB 2020b with the CVX tool and the SEDUMI and SDPT3 solversspa
dc.format.extent17 Páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceComputation 2021, 9, 137spa
dc.titleOptimal Economic–Environmental Operation of BESS in AC Distribution Systems: A Convex Multi-Objective Formulationspa
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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/computation9120137
dc.subject.keywordsBattery energy storage systemspa
dc.subject.keywordsMulti-objective optimization modelspa
dc.subject.keywordsDistribution networksspa
dc.subject.keywordsNon-linear optimizationspa
dc.subject.keywordsConvex reformulationspa
dc.subject.keywordsSecond-order cone programmingspa
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.spahttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.audienceInvestigadoresspa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501spa


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