Ant Colony algorithm applied to power transformer optimization

This paper describes a new optimization method based on Ant colony Algorithm for the optimal choice of the number of turns in the primary winding, flux and current density in power transformers. The goal of the proposed Algorithm is to minimize the cost of the transformer. The advantage of this method for designers is to have quick results without having to deal with all possible combinations to get the optimal solution. The proposed optimization methodology has been implemented successfully to optimize the design of power transformers and results have been compared with conventional design techniques.