District Microgrid Management Integrated with Renewable Energy Sources, Energy Storage Systems and Electric Vehicles

This paper addresses the problem of the energy management of cooperative district microgrids: the goal is minimizing the additional energy to be purchased and maximizing the utilization of energy bought at the day-ahead energy market. To this purpose the District Energy Management System (DEMS) predicts the energy consumption of the district and minimizes additional real-time energy requests by optimally integrating renewable energy sources, storage systems and district electric vehicles. To solve this problem two approaches are considered. In the first approach, we assume that the energy consumption, the cumulative production of the renewable energies and the energy costs are known. In this case, a linear programming problem is formulated and solved by the DEMS. In order to deal with the parameters uncertainty, we propose a second approach formulated as a stochastic linear programming problem.