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dc.contributor.authorMontoya, Oscar Danilo
dc.contributor.authorGil-González, Walter
dc.contributor.authorGarcés, Alejandro
dc.date.accessioned2022-05-19T21:17:09Z
dc.date.available2022-05-19T21:17:09Z
dc.date.issued2022-02-20
dc.date.submitted2022-05-19
dc.identifier.citationMontoya, O.D.; Gil-González, W.; Garcés, A. On the Conic Convex Approximation to Locate and Size Fixed-Step Capacitor Banks in Distribution Networks. Computation 2022, 10, 32. https://doi.org/10.3390/computation10020032spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/10696
dc.description.abstractThe problem of the optimal siting and sizing of fixed-step capacitor banks is studied in this research from the standpoint of convex optimization. This problem is formulated through a mixed-integer nonlinear programming (MINLP) model, in which its binary/integer variables are related to the nodes where the capacitors will be installed. Simultaneously, the continuous variables are mainly associated with the power flow solution. The main contribution of this research is the reformulation of the exact MINLP model through a mixed-integer second-order cone programming model (MI-SOCP). This mixed-integer conic model maintains the nonlinearities of the original MINLP model; however, it can be solved efficiently with the branch & bound method combined with the interior point method adapted for conic programming models. The main advantage of the proposed MI-SOCP model is the possibility of finding the global optimum based on the convex nature of the power flow problem for each binary/integer variable combination in the branch & bound search tree. The numerical results in the IEEE 33- and IEEE 69-bus systems demonstrate the effectiveness and robustness of the proposed MI-SOCP model compared to different metaheuristic approaches. The MISOCP model finds the final power losses of the IEEE 33- and IEEE 69-bus systems of 138.416 kW and 145.397 kW, which improves the best literature results reached with the flower pollination algorithm, i.e., 139.075 kW, and 145.860 kW, respectively. The simulations are carried out in MATLAB software using its convex optimizer tool known as CVX with the Gurobi solver.spa
dc.format.extent14 Páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceComputation - Vol. 10 N° 8 (2022).spa
dc.titleOn the Conic Convex Approximation to Locate and Size Fixed-Step Capacitor Banks in Distribution Networksspa
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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/computation10020032
dc.subject.keywordsCapacitor banksspa
dc.subject.keywordsDistribution networksspa
dc.subject.keywordsSecond-order cone programming modelspa
dc.subject.keywordsPower losses minimizationspa
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_2df8fbb1spa
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.