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Walter Gil-González, Oscar Danilo Montoya and César Leonardo Trujillo-Rodríguez
This research addresses the efficient integration and sizing of flexible alternating current transmission systems (FACTS) in electrical distribution networks via a convex optimization approach. The exact mixed-integer nonlinear programming (MINLP) model ...
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Daniela Patricia Bohórquez-Álvarez, Karen Dayanna Niño-Perdomo and Oscar Danilo Montoya
This paper addresses the problem concerning the efficient minimization of power losses in asymmetric distribution grids from the perspective of convex optimization. This research?s main objective is to propose an approximation optimization model to reduc...
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Oscar Danilo Montoya, Luis Fernando Grisales-Noreña and Edwin Rivas-Trujillo
With this study, we address the optimal phase balancing problem in three-phase networks with asymmetric loads in reference to a mixed-integer quadratic convex (MIQC) model. The objective function considers the minimization of the sum of the square curren...
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Jing Zhang, Xiangpeng Zhan, Taoyong Li, Linru Jiang, Jun Yang, Yuanxing Zhang, Xiaohong Diao and Sining Han
The problem of electricity pricing for charging stations is a multi-objective mixed integer nonlinear programming. Existing algorithms have low efficiency in solving this problem. In this paper, a convex optimization algorithm is proposed to get the opti...
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German Francisco Barreto-Parra, Brandon Cortés-Caicedo and Oscar Danilo Montoya
This paper proposes an interconnection of the MATLAB and GAMS software interfaces, which were designed based on a master-slave methodology, to solve the mixed-integer nonlinear programming (MINLP) model problem associated with the problem regarding the o...
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Seyedehsan Seyedabrishami, Arezoo Rahimi, Amirali Zarrinmehr
Pág. 1317 - 1326
In transit lines planning, a common issue is that transit vehicles get overcrowded as they arrive at some intermediate stops. Dispatching a portion of vacant transit vehicles to the intermediate stops may seem to be a suitable solution for this problem. ...
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