On the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid
10.1016/j.jpowsour.2017.01.015
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/115056
Tipus de documentArticle
Data publicació2017-03-01
Condicions d'accésAccés obert
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Abstract
In this paper, a performance comparison among three well-known stochastic model predictive control approaches, namely, multi-scenario, tree-based, and chance-constrained model predictive control is presented. To this end, three predictive controllers have been designed and implemented in a real renewable-hydrogen-based microgrid. The experimental set-up includes a PEM electrolyzer, lead-acid batteries, and a PEM fuel cell as main equipment. The real experimental results show significant differences from the plant components, mainly in terms of use of energy, for each implemented technique. Effectiveness, performance, advantages, and disadvantages of these techniques are extensively discussed and analyzed to give some valid criteria when selecting an appropriate stochastic predictive controller.
Descripció
© <year>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
CitacióVelarde, P., Valverde, L., Maestre, J., Ocampo-Martinez, C.A., Bordons, C. On the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid. "Journal of power sources", 1 Març 2017, vol. 343, p. 161-173.
ISSN0378-7753
Versió de l'editorhttp://www.sciencedirect.com/science/article/pii/S0378775317300150
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