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On the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid

Author
Velarde, P.; Valverde, L.; Maestre, J.; Ocampo-Martinez, C.A.; Bordons, C.
Type of activity
Journal article
Journal
Journal of power sources
Date of publication
2017-03-01
Volume
343
First page
161
Last page
173
DOI
https://doi.org/10.1016/j.jpowsour.2017.01.015 Open in new window
Repository
http://hdl.handle.net/2117/115056 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0378775317300150 Open in new window
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 differen...
Citation
Velarde, 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.
Keywords
Demand, Hydrogen storage, Microgrid, Model predictive control, Stochastic processes, Supply
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants

  • Velarde, Pablo  (author)
  • Valverde Isorna, Luis  (author)
  • Maestre Torreblanca, José María  (author)
  • Ocampo Martinez, Carlos A.  (author)
  • Bordons Alba, Carlos  (author)