Smart Grid Optimization by Means of MapReduce

We propose a MapReduce-based solution approach to solve a large-scale mixed-integer program which optimizes the layout of visual elements on a power transmission display map. We conduct extensive computational studies based on a real world power grid in the U.S. and compare our results with the (traditional) sequential approach, in terms of both accuracy and speed.