Resumo

CRESPO SANCHEZ, Gustavo; PEREZ ABRIL, Ignacio  e  GARCIA SANCHEZ, Zaid. Evolutionary algorithms' scientific exploration in the electrical distribution networks optimal reconfiguration. Universidad y Sociedad [online]. 2022, vol.14, n.1, pp. 303-319.  Epub 10-Fev-2022. ISSN 2218-3620.

Network reconfiguration is the modification of these by changing switches state to satisfy operating constraints. It can be formulated as a non-linear optimization problem, with constraints and with a non-differentiable objective function, and it allows improving reliability and voltage profiles, reducing losses while maintaining load balance, isolating faults and speeding up service restoration. In the last two decades, various conventional methods and many heuristic techniques have been used, without a unique acceptance criterion of the most appropriate one. Evolutionary Algorithms (EA) - due to their simplicity, flexibility and robustness - have motivated a growing researchers interest in solving a wide everyday problems range. An Evolutionary Algorithms (AE)’s scientific exploration used in electrical networks optimal reconfiguration is carried out by paper which locates them in the search and optimization methods and classifies them in the Evolutionary Computing domain. Paper also addresses main-and-most-popular’s overviews and furthermore compares them by their coding, selection methods, operators, parameterization and original and/or main application. It summarizes the most important EA contributions, their current trends and the number of publications, registered in Google Scholar and in the Web of Science.

Palavras-chave : Differential evolution; distribution network reconfiguration optimization; evolutionary algorithms; evolutionary programming; evolutionary strategies.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )