Robust Economic Model Predictive Control for Energy Dispatch in Smart Micro-grids Considering Demand Uncertainty

This paper proposes a robust economic model predictive control method based on a bounded description of the demand uncertainty for optimal energy dispatch in a smart micro-grid. The proposed method considers the effect of uncertainty by tightening the system constraints along the prediction horizon. The bounds of the tightened constraints are computed offline. A periodic terminal state constraint is included in order to guarantee stability. The proposed method is simpler and faster than closed-loop min-max based approaches. The proposed approach is assessed with the help of a smart-grid consisting of some photovoltaic (PV) panels, a wind generator, a hydroelectric generator, a diesel generator, and some storage devices interconnected via two DC-buses, from which load demands can draw required energy. Load demands are uncertain, but considered as bounded.