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dc.contributor.authorSilvente Saiz, Javier
dc.contributor.authorAguirre, Adrián
dc.contributor.authorZamarripa Pérez, Miguel Ángel
dc.contributor.authorMéndez, Carlos A.
dc.contributor.authorGraells Sobré, Moisès
dc.contributor.authorEspuña Camarasa, Antonio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2015-09-23T10:39:56Z
dc.date.available2015-09-23T10:39:56Z
dc.date.created2015-07-01
dc.date.issued2015-07-01
dc.identifier.citationSilvente, J., Aguirre, A., Zamarripa, M., Méndez, C. A., Graells, M., Espuña, A. Improved time representation model for the simultaneous energy supply and demand management in microgrids. "Energy", 01 Juliol 2015, p. 615-627.
dc.identifier.issn0360-5442
dc.identifier.urihttp://hdl.handle.net/2117/77046
dc.description.abstractThis paper analyses the operational decision making procedures required to address the simultaneous management of energy supplies and requests in a microgrid scenario, in order to best accommodate arbitrary energy availability profiles resulting from an intensive use of renewable energy sources, and to extensively exploit the eventual flexibility of the energy requirements to be fulfilled. The optimization of the resulting short term scheduling problem in deterministic scenarios is addressed through a MILP (Mixed-Integer Linear Programming) mathematical model, which includes a new hybrid time formulation developed to take profit of the advantages of the procedures based on discrete time representations, while maintaining the ability to identify solutions requiring a continuous time representation, which might be qualitatively different to the ones constrained to consider a fixed time grid for decision-making. The performance of this new time representation has been studied, taking into account the granularity of the model and analyzing the associated trade-offs in front of other alternatives. The promising results obtained with this new formulation encourage further research regarding the development of decision-making tools for the enhanced operation of microgrids.
dc.format.extent13 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies
dc.subject.lcshEnergy storage
dc.subject.otherMicrogrid Management Energy storage Scheduling Flexibility MILP
dc.titleImproved time representation model for the simultaneous energy supply and demand management in microgrids
dc.typeArticle
dc.subject.lemacEnergia -- Emmagatzematge
dc.contributor.groupUniversitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering
dc.identifier.doi10.1016/j.energy.2015.05.028
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S036054421500609X
dc.rights.accessOpen Access
drac.iddocument16376475
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorSilvente, J., Aguirre, A., Zamarripa, M., Méndez, C. A., Graells, M., Espuña, A.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameEnergy
upcommons.citation.volume87
upcommons.citation.startingPage615
upcommons.citation.endingPage627


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