dc.creatorGrisales-Noreña, Luis Fernando
dc.creatorMontoya, Oscar Danilo
dc.creatorRamos-Paja, Carlos Andrés
dc.creatorHernandez-Escobedo, Quetzalcoatl
dc.creatorPerea-Moreno, Alberto-Jesus
dc.date.accessioned2021-02-15T16:09:59Z
dc.date.accessioned2022-09-28T20:13:39Z
dc.date.available2021-02-15T16:09:59Z
dc.date.available2022-09-28T20:13:39Z
dc.date.created2021-02-15T16:09:59Z
dc.date.issued2020-11-01
dc.identifierGrisales-Noreña, Luis F.; Montoya, Oscar D.; Ramos-Paja, Carlos A.; Hernandez-Escobedo, Quetzalcoatl; Perea-Moreno, Alberto-Jesus. 2020. "Optimal Location and Sizing of Distributed Generators in DC Networks Using a Hybrid Method Based on Parallel PBIL and PSO" Electronics 9, no. 11: 1808. https://doi.org/10.3390/electronics9111808
dc.identifierhttps://hdl.handle.net/20.500.12585/9996
dc.identifierhttps://www.mdpi.com/2079-9292/9/11/1808
dc.identifier10.3390/electronics9111808
dc.identifier2079-9292
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio Universidad Tecnológica de Bolívar
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3723137
dc.description.abstractThis paper addresses the problem of the locating and sizing of distributed generators (DGs) in direct current (DC) grids and proposes a hybrid methodology based on a parallel version of the Population-Based Incremental Learning (PPBIL) algorithm and the Particle Swarm Optimization (PSO) method. The objective function of the method is based on the reduction of the power loss by using a master-slave structure and the consideration of the set of restrictions associated with DC grids in a distributed generation environment. In such a structure, the master stage (PPBIL) finds the location of the generators and the slave stage (PSO) finds the corresponding sizes. For the purpose of comparison, eight additional hybrid methods were formed by using two additional location methods and two additional sizing methods, and this helped in the evaluation of the effectiveness of the proposed solution. Such an evaluation is illustrated with the electrical test systems composed of 10, 21 and 69 buses and simulated on the software, MATLAB. Finally, the results of the simulation demonstrated that the PPBIL–PSO method obtains the best balance between the reduction of power loss and the processing time.
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 2020, 9(11), 1808
dc.titleOptimal location and sizing of distributed generators in dc networks using a hybrid method based on parallel pbil and pso


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