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A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders
dc.contributor.author | Montoya, O.D. | |
dc.contributor.author | Gil-González, Walter | |
dc.contributor.author | Hernández, Jesus C. | |
dc.contributor.author | Giral-Ramírez, Diego Armando | |
dc.contributor.author | Medina-Quesada, A. | |
dc.date.accessioned | 2020-11-05T21:06:14Z | |
dc.date.available | 2020-11-05T21:06:14Z | |
dc.date.issued | 2020-08-27 | |
dc.date.submitted | 2020-11-03 | |
dc.identifier.citation | Montoya, O.D.; Gil-González, W.; Hernández, J.C.; Giral-Ramírez, D.A.; Medina-Quesada, A. A Mixed-Integer Nonlinear Programming Model for Optimal Reconfiguration of DC Distribution Feeders. Energies 2020, 13, 4440. | spa |
dc.identifier.uri | https://hdl.handle.net/20.500.12585/9559 | |
dc.description.abstract | This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation. This MINLP model focuses on minimising the power losses in the distribution lines by reformulating the classical power balance equations through a branch-to-node incidence matrix. The general algebraic modelling system (GAMS) is chosen as a solution tool, showing in tutorial form the implementation of the proposed MINLP model in a 6-nodes test feeder with 10 candidate lines. The validation of the MINLP formulation is performed in two classical 10-nodes DC test feeders. These are typically used for power flow and optimal power flow analyses. Numerical results demonstrate that power losses are reduced by about 16% when the optimal reconfiguration plan is found. The numerical validations are made in the GAMS software licensed by Universidad Tecnológica de Bolívar. | spa |
dc.format.extent | 22 páginas | |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | eng | spa |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.source | Energies 2020, 13(17), 4440 | spa |
dc.title | A mixed-integer nonlinear programming model for optimal reconfiguration of DC distribution feeders | spa |
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datacite.rights | http://purl.org/coar/access_right/c_abf2 | spa |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.identifier.url | https://www.mdpi.com/1996-1073/13/17/4440 | |
dc.type.driver | info:eu-repo/semantics/article | spa |
dc.type.hasversion | info:eu-repo/semantics/publishedVersion | spa |
dc.identifier.doi | 10.3390/en13174440 | |
dc.subject.keywords | Branch-to-node incidence matrix | spa |
dc.subject.keywords | Direct current networks | spa |
dc.subject.keywords | Mixed-integer nonlinear programming model | spa |
dc.subject.keywords | General algebraic modelling system | spa |
dc.subject.keywords | Optimal reconfiguration of distribution grids | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.cc | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.identifier.instname | Universidad Tecnológica de Bolívar | spa |
dc.identifier.reponame | Repositorio Universidad Tecnológica de Bolívar | spa |
dc.publisher.place | Cartagena de Indias | spa |
dc.type.spa | http://purl.org/coar/resource_type/c_6501 | spa |
dc.audience | Público general | spa |
oaire.resourcetype | http://purl.org/coar/resource_type/c_2df8fbb1 | spa |
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