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dc.contributor.authorRosales-Muñoz, Andrés Alfonso
dc.contributor.authorMontano, Jhon
dc.contributor.authorGrisales-Noreña, Luis Fernando
dc.contributor.authorMontoya, Oscar Danilo
dc.contributor.authorAndrade, Fabio
dc.date.accessioned2023-07-24T20:48:20Z
dc.date.available2023-07-24T20:48:20Z
dc.date.issued2022
dc.date.submitted2023
dc.identifier.citationRosales-Muñoz, A. A., Montano, J., Grisales-Noreña, L. F., Montoya, O. D., & Andrade, F. (2022). Optimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Method. Sustainability, 14(20), 13408.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12415
dc.description.abstractIn this paper, we address the problem of the optimal power dispatch of Distributed Generators (DGs) in Alternating Current (AC) networks, better known as the Optimal Power Flow (OPF) problem. We used, as the objective function, the minimization of power losses (Formula presented.) associated with energy transport, which are subject to the set of constraints that compose AC networks in an environment of distributed generation. To validate the effectiveness of the proposed methodology in solving the OPF problem in any network topology, we employed one 10-node mesh test system and three radial text systems: 10, 33, and 69 nodes. In each test system, DGs were allowed to inject (Formula presented.), (Formula presented.), and (Formula presented.) of the power supplied by the slack generator in the base case. To solve the OPF problem, we used a master–slave methodology that integrates the optimization method Salps Swarm Algorithm (SSA) and the load flow technique based on the Successive Approximation (SA) method. Moreover, for comparison purposes, we employed some of the algorithms reported in the specialized literature to solve the OPF problem (the continuous genetic algorithm, the particle swarm optimization algorithm, the black hole algorithm, the antlion optimization algorithm, and the Multi-Verse Optimizer algorithm), which were selected because of their excellent results in solving such problems. The results obtained by the proposed solution methodology demonstrate its superiority and convergence capacity in terms of minimization of (Formula presented.) in both radial and mesh systems. It provided the best reduction in minimum (Formula presented.) in short processing times and showed excellent repeatability in each test system and scenario under analysis. © 2022 by the authors.spa
dc.format.extent32 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceSustainability (Switzerland)spa
dc.titleOptimal Power Dispatch of DGs in Radial and Mesh AC Grids: A Hybrid Solution Methodology between the Salps Swarm Algorithm and Successive Approximation Power Flow Methodspa
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dc.type.driverinfo:eu-repo/semantics/articlespa
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dc.identifier.doi10.3390/su142013408
dc.subject.keywordsMicrogrid;spa
dc.subject.keywordsDC-DC Converter;spa
dc.subject.keywordsElectric Potentialspa
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
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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.