Otimização no cálculo da parte ativa de transformadores trifásicos de distribuição utilizando algoritmos genéticos visando melhor eficiência e menor custo

Abstract

This work presents a more efficient methodology, if compared to the traditional methods used, of sizing of the active part of a three-phase distribution transformer using one of optimization methods from Computational Intelligence. The use of Genetic Algorithms (GA) will assist in sizing the transformer parameters which will lead to reducing the amount of raw material used in manufacturing and, consequently, on the production costs reduction. Further, it is considered the commitment with the transformer quality and efficiency, respecting the settled limits by the NBR 5440/1999, sometimes treated as a requirement by the regulatory agency and a constraint by the GA.