Optimal Design of Power Transformer Using Genetic Algorithm

The paper presents power transformer design, using genetic algorithm (GA) and simulated annealing (SA) by minimizing total active cost, keeping in view the constraints imposed by international standards and power transformer specifications. The design results using conventional method (CM) have been compared with those obtained by applying GA and SA techniques and it is quite evident that the dimensions as well as active cost have been reduced in comparison to CM using same set of constraints. The results of GA and SA have been obtained using optimization tool box MATLAB Release 9.1 which have not been applied for power transformer design so far. Present paper firstly provides efficient and reliable solution for the design optimization problem with several variables and secondly, it guarantee that the obtained solution is a global optimum. Hence, this paper demonstrates a better and efficient solution for power transformer design using the said optimization techniques.