Robust economic model predictive control for energy dispatch in smart micro-grids considering demand uncertainty

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksThis 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.Peer ReviewedPostprint (author's final draft