The failures of complex infrastructures which have enormous human and economic costs poses the question: Are there ways to optimize these systems to reduce the risks of failure? A dynamic model of one such system, the power transmission grid, is used to investigate the risk from failure as a function of the size and structure of the system. Using the Arctic Region Supercomputing Center we can investigate methods to optimize the configuration for the power grid which will furthest reduce the number and severity of blackouts experienced by the system. Two of the important characteristics are the size and structure of the grid. We will examine various grid structures and sizes, focusing on the strength of the lines connecting regions, in order to develop a prescription for the optimal configuration for any grid size. Reducing the number and severity of blackouts, to its furthest point, can strengthen our infrastructure and benefit society both, but not limited to, industrially and economically.