Abstract

CRESPO SANCHEZ, Gustavo; PEREZ ABRIL, Ignacio  and  PADRON PADRON, Enrique Arturo. Algorithm parts adaptation and reprogramming, for distribution networks reconfiguration. Energética [online]. 2023, vol.44, n.1, pp.44-54.  Epub Mar 23, 2023. ISSN 1815-5901.

Optimal distribution networks reconfiguration is very important in reducing losses and operating costs and in improving networks security, stability and reliability indicators. The work objective is reprogramming an algorithm that improves results obtained previously. Paper presents non-dominated classification genetic algorithm II parts adaptation and reprogramming, with a new coding that, unlike previous authors, avoids modified genetic operators and take better advantage of algorithm's potentialities. In addition, graph theory is used to transform non-feasible individuals and avoid new generations of them, dispensing with annoying mesh checking and reducing the search space and computational burden. Proposal's effectiveness was tested with 33 and 70 bars test distribution systems, showing promising results and better than previous proposals.

Keywords : coding; distribution systems; genetic algorithms; network reconfiguration; NSGA-II.

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