Publication

Application of robust model predictive control to a renewable hydrogen-based microgrid

Conference Article

Conference

European Control Conference (ECC)

Edition

2016

Pages

1209-1214

Doc link

http://dx.doi.org/10.1109/ECC.2016.7810454

File

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Authors

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, 2016 European Control Conference, 2016, Aalborg, Denmark, pp. 1209-1214.