Publication
Robust economic model predictive control for energy dispatch in smart micro-grids considering demand uncertainty
Conference Article
Conference
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Edition
24th
Pages
760-766
Doc link
http://dx.doi.org/10.1109/ETFA.2019.8869130
File
Abstract
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.
Categories
control theory, periodic control, predictive control.
Author keywords
Smart Grid, Economic MPC, Robustness, Zonotope, Uncertainty
Scientific reference
M. Nassourou, J. Blesa and V. Puig. Robust economic model predictive control for energy dispatch in smart micro-grids considering demand uncertainty, 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019, Zaragoza, pp. 760-766.
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