dc.creatorMolina-Martin, Federico
dc.creatorMontoya, Oscar Danilo
dc.creatorGrisales-Noreña, Luis Fernando
dc.creatorHernández, Jesus C.
dc.date.accessioned2021-02-17T20:43:49Z
dc.date.accessioned2022-09-28T20:06:27Z
dc.date.available2021-02-17T20:43:49Z
dc.date.available2022-09-28T20:06:27Z
dc.date.created2021-02-17T20:43:49Z
dc.date.issued2021-01-14
dc.identifierMolina-Martin, Federico; Montoya, Oscar D.; Grisales-Noreña, Luis F.; Hernández, Jesus C. 2021. "A Mixed-Integer Conic Formulation for Optimal Placement and Dimensioning of DGs in DC Distribution Networks" Electronics 10, no. 2: 176. https://doi.org/10.3390/electronics10020176
dc.identifierhttps://hdl.handle.net/20.500.12585/10037
dc.identifierhttps://www.mdpi.com/2079-9292/10/2/176/htm
dc.identifier10.3390/electronics10020176
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio Universidad Tecnológica de Bolívar
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3719675
dc.description.abstractThe problem of the optimal placement and dimensioning of constant power sources (i.e., distributed generators) in electrical direct current (DC) distribution networks has been addressed in this research from the point of view of convex optimization. The original mixed-integer nonlinear programming (MINLP) model has been transformed into a mixed-integer conic equivalent via second-order cone programming, which produces a MI-SOCP approximation. The main advantage of the proposed MI-SOCP model is the possibility of ensuring global optimum finding using a combination of the branch and bound method to address the integer part of the problem (i.e., the location of the power sources) and the interior-point method to solve the dimensioning problem. Numerical results in the 21- and 69-node test feeders demonstrated its efficiency and robustness compared to an exact MINLP method available in GAMS: in the case of the 69-node test feeders, the exact MINLP solvers are stuck in local optimal solutions, while the proposed MI-SOCP model enables the finding of the global optimal solution. Additional simulations with daily load curves and photovoltaic sources confirmed the effectiveness of the proposed MI-SOCP methodology in locating and sizing distributed generators in DC grids; it also had low processing times since the location of three photovoltaic sources only requires 233.16s, which is 3.7 times faster than the time required by the SOCP model in the absence of power sources.
dc.languageeng
dc.publisherCartagena de Indias
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.sourceElectronics 2021, 10(2), 176
dc.titleA mixed-integer conic formulation for optimal placement and dimensioning of DGs in DC distribution networks


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