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Entre Ciencia e Ingeniería
versión impresa ISSN 1909-8367
Resumen
ACOSTA, J. L.; ALARCON, A.E. y RIVERA, S.. Reconfiguration of distribution systems to minimize losses using heuristic optimization: BPSO and DEEPSO methods. Entre Ciencia e Ingenieria [online]. 2017, vol.11, n.22, pp.110-117. ISSN 1909-8367.
This article proposes the analysis and application of heuristic algorithms for the reconfiguration of distribution systems in order to reduce power losses in these systems. The algorithms used are based on the BPSO (Binary Particle Swarm Optimization) and DEEPSO (Differential Particle Swarm Optimization) methods, these are intended to find solutions close to the local optimum, with reduced processing times compared to analytical methods. Additionally, an example of application of each method to two radial distribution systems (distribution networks of 33 and 69 nodes) is shown to compare the results obtained in terms of the efficiency and effectiveness of each algorithm.
Palabras clave : Algorithm; BPSO; DEEPSO; Heuristic; Loss, Power.