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dc.contributor.authorSilvente Saiz, Javier
dc.contributor.authorKopanos, Georgios M.
dc.contributor.authorEspuña Camarasa, Antonio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2015-11-09T11:47:52Z
dc.date.available2015-11-09T11:47:52Z
dc.date.issued2015
dc.identifier.citationSilvente, J., Kopanos, G., Espuña, A. A rolling horizon stochastic programming framework for the energy supply and demand management in microgrids. A: European Symposium on Computer Aided Process Engineering. "12th Intenational Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Part A. Computer Aided Chemical Engineering, 37". Copenhagen: Elsevier, 2015, p. 2321-2326.
dc.identifier.isbn9780444634290
dc.identifier.urihttp://hdl.handle.net/2117/78935
dc.description.abstractThis work proposes a discrete-time Mixed Integer Linear Programming (MILP) formulation based on a combined rolling horizon and stochastic programming approach for the simultaneous management of energy supply and demand in microgrids, considering flexible demand profiles, which allows delays in the nominal energy demands by applying penalty costs. This mathematical formulation uses a scenario-based stochastic programming approach, which considers different scenarios associated to internal variations in the duration of the energy consumptions, to contemplate all possible scenarios related to the energy demand. However, the high complexity related the estimate the weather forecast with a high degree of precision makes unaffordable the consideration of all possible external scenarios, thereby updating input data is needed to ensure the adequate quality in the obtained results. Hence, the proactive MILP stochastic programming formulation is introduced into a rolling horizon approach.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria química
dc.subject.lcshStochastic programming
dc.subject.lcshRenewable energy
dc.subject.otherrolling horizon
dc.subject.otherstochastic programming
dc.subject.otherscheduling
dc.subject.othermathematical programming
dc.subject.othermicrogrid
dc.titleA rolling horizon stochastic programming framework for the energy supply and demand management in microgrids
dc.typeConference lecture
dc.subject.lemacProgramació (Matemàtica)
dc.subject.lemacEnergies renovables
dc.contributor.groupUniversitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering
dc.identifier.doi10.1016/B978-0-444-63576-1.50081-9
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac16620464
dc.description.versionPostprint (published version)
local.citation.authorSilvente, J.; Kopanos, G.; Espuña, A.
local.citation.contributorEuropean Symposium on Computer Aided Process Engineering
local.citation.pubplaceCopenhagen
local.citation.publicationName12th Intenational Symposium on Process Systems Engineering and 25th European Symposium on Computer Aided Process Engineering. Part A. Computer Aided Chemical Engineering, 37
local.citation.startingPage2321
local.citation.endingPage2326


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