Multi-objective optimization of power substation grounding grids

This paper presents the optimization of power substation ground grids using the elitist multi-objective algorithm NSGA-II philosophy, explaining the operation scheme and the unique mechanisms that allow the preservation and evolution of Pareto-optimal solutions. This algorithm is compared with the optimization method implemented in the GMAT program of Aplicaciones Tecnológicas, which is based on a semi-optimization process obtained from a correlation of semi-exact optimization solutions. Multi-objective optimization allows a much higher cost reduction than the semi-optimization process, although the computation time required to reach the final solution is still relatively long.