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A Hybrid Approach Based on SOCP and the Discrete Version of the SCA for Optimal Placement and Sizing DGs in AC Distribution Networks

dc.contributor.authorDanilo Montoya, Oscar
dc.contributor.authorMolina Cabrera, Alexander
dc.contributor.authorChamorro Vera, Harold Rene 
dc.contributor.authorAlvarado Barrios, Lázaro 
dc.contributor.authorRivas Trujillo, Edwin
dc.date.accessioned2023-11-20T13:56:17Z
dc.date.available2023-11-20T13:56:17Z
dc.date.issued2021
dc.identifier.citationMontoya OD, Molina-Cabrera A, Chamorro HR, Alvarado-Barrios L, Rivas-Trujillo E. A Hybrid Approach Based on SOCP and the Discrete Version of the SCA for Optimal Placement and Sizing DGs in AC Distribution Networks. Electronics. 2021; 10(1):26. https://doi.org/10.3390/electronics10010026es
dc.identifier.issn2079-9292
dc.identifier.urihttps://hdl.handle.net/20.500.12412/4693
dc.description.abstractThis paper deals with the problem of the optimal placement and sizing of distributed generators (DGs) in alternating current (AC) distribution networks by proposing a hybrid master–slave optimization procedure. In the master stage, the discrete version of the sine–cosine algorithm (SCA) determines the optimal location of the DGs, i.e., the nodes where these must be located, by using an integer codification. In the slave stage, the problem of the optimal sizing of the DGs is solved through the implementation of the second-order cone programming (SOCP) equivalent model to obtain solutions for the resulting optimal power flow problem. As the main advantage, the proposed approach allows converting the original mixed-integer nonlinear programming formulation into a mixed-integer SOCP equivalent. That is, each combination of nodes provided by the master level SCA algorithm to locate distributed generators brings an optimal solution in terms of its sizing; since SOCP is a convex optimization model that ensures the global optimum finding. Numerical validations of the proposed hybrid SCA-SOCP to optimal placement and sizing of DGs in AC distribution networks show its capacity to find global optimal solutions. Some classical distribution networks (33 and 69 nodes) were tested, and some comparisons were made using reported results from literature. In addition, simulation cases with unity and variable power factor are made, including the possibility of locating photovoltaic sources considering daily load and generation curves. All the simulations were carried out in the MATLAB software using the CVX optimization tool.es
dc.language.isoenges
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleA Hybrid Approach Based on SOCP and the Discrete Version of the SCA for Optimal Placement and Sizing DGs in AC Distribution Networkses
dc.typearticlees
dc.identifier.doi10.3390/electronics10010026
dc.issue.number1es
dc.journal.titleElectronicses
dc.page.initial26es
dc.relation.projectIDThis work was supported in part by the Centro de Investigación y Desarrollo Científico de la Universidad Distrital Francisco José de Caldas under grant 1643-12-2020 associated with the project: “Desarrollo de una metodología de optimización para la gestión óptima de recursos energéticos distribuidos en redes de distribución de energía eléctrica.” and in part by the Dirección de Investigaciones de la Universidad Tecnológica de Bolívar under grant PS2020002 associated with the project: “Ubicación óptima de bancos de capacitores de paso fijo en redes eléctricas de distribución para reducción de costos y pérdidas de energía: Aplicación de métodos exactos y metaheurísticos.”es
dc.rights.accessRightsopenAccesses
dc.subject.keywordDistributed generationes
dc.subject.keywordMixed-integer nonlinear programminges
dc.subject.keywordOptimal power flowes
dc.subject.keywordSecond-cone programminges
dc.subject.keywordDiscrete-sine cosine algorithmes
dc.subject.keywordMetaheuristic optimizationes
dc.volume.number10es


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