Heuristic approach for optimal location and sizing of distributed generators in AC distribution networks
Universidad Tecnológica de Bolívar
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This paper addresses, from a heuristic point of view, the problem of the optimal location and sizing of distributed generators (DGs) in alternating-current distribution networks with radial topology. A master–slave optimization approach is followed to place and size the DGs. In the master stage a simple recursive seach method based on sequential searching is proposed. In the case of the slave algorithm, we present an emerging metaheuristic for solving the optimal power flow problem. This metaheuristic is called the vortex search algorithm. It works with a Gaussian distribution and a variable radius function for exploring and exploiting the solution space. Numerical simulations of 33-and 69-node test feeders show its efficiency, simplicity and robusteness in comparison to other methods in the literature. © 2019, World Scientific and Engineering Academy and Society. All rights reserved.
This work was supported in part by the Administrative Department of Science, Technology and Innovation of Colombia (COLCIEN-CIAS) through the National Scholarship Program under Grant 727-2015 and in part by the Universidad Tecnol?gica de Bol?var under Project C2019P020.
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