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dc.contributor.authorVelarde, Pablo
dc.contributor.authorValverde Isorna, Luis
dc.contributor.authorMaestre Torreblanca, José María
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.authorBordons Alba, Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2018-03-12T09:37:15Z
dc.date.available2018-03-12T09:37:15Z
dc.date.issued2017-03-01
dc.identifier.citationVelarde, 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.
dc.identifier.issn0378-7753
dc.identifier.urihttp://hdl.handle.net/2117/115056
dc.description© <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/
dc.description.abstractIn 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.
dc.format.extent13 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.otherHydrogen storage
dc.subject.otherMicrogrid
dc.subject.otherModel predictive control
dc.subject.otherStochastic processes
dc.subject.otherSupply
dc.subject.otherDemand
dc.titleOn the comparison of stochastic model predictive control strategies applied to a hydrogen-based microgrid
dc.typeArticle
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.1016/j.jpowsour.2017.01.015
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Control theory::Predictive control
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0378775317300150
dc.rights.accessOpen Access
drac.iddocument19681514
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorVelarde, P., Valverde, L., Maestre, J., Ocampo-Martinez, C.A., Bordons, C.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of power sources
upcommons.citation.volume343
upcommons.citation.startingPage161
upcommons.citation.endingPage173


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