Spare transformers optimization using Monte Carlo simulation and metaheuristic techniques

This paper presents a new methodology based on metaheuristic optimization techniques for computing optimal distribution substation spare transformers. A chronological Monte Carlo simulation-based algorithm is used in the calculation of performance indices and system costs in a period of interest, considering factors such as load growth, increasing in the number of transformers in operation, and inclusion of reinforcements to the initial inventory. Some numerical experiments are carried out in order to illustrate the potentialities of the proposed method.