Publication
Application of robust model predictive control to a renewable hydrogen-based microgrid
Conference Article
Conference
European Control Conference (ECC)
Edition
15th
Pages
1209-1214
Doc link
http://dx.doi.org/10.1109/ECC.2016.7810454
File
Authors
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Velarde, Pablo
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Maestre Torreblanca, José María
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Ocampo Martínez, Carlos A.
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Bordons, Carlos
Projects associated
Abstract
In order to cope with uncertainties present in the renewable energy generation, as well as in the demand consumer, we propose in this paper the formulation and comparison of three robust model predictive control techniques, i.e., multi-scenario, tree-based, and chance-constrained model predictive control, which are applied to a nonlinear plant-replacement model that corresponds to a real laboratory-scale plant located in the facilities of the University of Seville. Results show the effectiveness of these three techniques considering the stochastic nature, proper of these systems.
Categories
control theory, optimisation, predictive control.
Author keywords
smart grids, robust MPC, industrial application
Scientific reference
P. Velarde, J.M. Maestre, C. Ocampo-Martínez and C. Bordons. Application of robust model predictive control to a renewable hydrogen-based microgrid, 15th European Control Conference, 2016, Aalborg, Denmark, pp. 1209-1214.
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