Power management and optimization for isolated DC microgrid

This paper presents a photovoltaic-storage-microturbine based DC microgrid, with multi-layer supervision which optimizes efficiently operation while satisfying constraints. Based on forecast data and using a mixed integer linear programming optimization, a predictive power flow is obtained which leads to an optimization-based strategy for real-time power balancing. Experimental test proves the feasibility of the supervisory control and demonstrates the problem formulation of minimizing total energy cost.