Transformer's Core Size Optimizaiton Using Genetic Algorithm

Abstract

Exponential escalation in the energy requirements and depletion of mineral resources has forced scientists to recycle and find the most optimized way of using the mineral resources left on earth. Transformers are the most mineral consuming devices of the power distribution systems as the use of core and winding has a high mineral content. In this paper a solution has been proposed to solve this problem and provide with an optimization technique for the minimum volume used to develop transformers. The technique models the materials, using the dependence of material on the magnetization parameters and uses genetic algorithm to perform optimization.