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dc.contributor.authorHeredia, F.-Javier (Francisco Javier)
dc.contributor.authorCuadrado Guevara, Marlyn Dayana
dc.contributor.authorCorchero García, Cristina
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2018-06-25T15:06:46Z
dc.date.available2018-06-25T15:06:46Z
dc.date.issued2018-01-01
dc.identifier.citationHeredia, F., Cuadrado, M., Corchero, C. On optimal participation in the electricity markets of wind power plants with battery energy storage systems. "Computers & operations research", 1 Gener 2018, vol. 96, p. 316-329.
dc.identifier.issn0305-0548
dc.identifier.urihttp://hdl.handle.net/2117/118479
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.abstractThe recent cost reduction and technological advances in medium- to large-scale battery energy storage systems (BESS) makes these devices a true alternative for wind producers operating in electricity markets. Associating a wind power farm with a BESS (the so-called virtual power plant (VPP)) provides utilities with a tool that converts uncertain wind power production into a dispatchable technology that can operate not only in spot and adjustment markets (day-ahead and intraday markets) but also in ancillary services markets that, up to now, were forbidden to non-dispatchable technologies. What is more, recent studies have shown capital cost investment in BESS can be recovered only by means of such a VPP participating in the ancillary services markets. We present in this study a multi-stage stochastic programming model to find the optimal operation of a VPP in the day-ahead, intraday and secondary reserve markets while taking into account uncertainty in wind power generation and clearing prices (day-ahead, secondary reserve, intraday markets and system imbalances). A case study with real data from the Iberian electricity market is presented.
dc.format.extent14 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::Matemàtiques i estadística
dc.subject.otherBattery energy storage systems
dc.subject.otherElectricity markets
dc.subject.otherAncillary services market
dc.subject.otherWind power generation
dc.subject.otherVirtual power plants
dc.subject.otherStochastic programming
dc.titleOn optimal participation in the electricity markets of wind power plants with battery energy storage systems
dc.typeArticle
dc.contributor.groupUniversitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització
dc.identifier.doi10.1016/j.cor.2018.03.004
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::60 Probability theory and stochastic processes
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S030505481830073X
dc.rights.accessOpen Access
local.identifier.drac22527876
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//MTM2013-48462-C2-1-R/ES/PREVISION Y OPTIMIZACION DE LA GENERACION EOLICA EN LOS MERCADOS DE ENERGIA - 1/
local.citation.authorHeredia, F.; Cuadrado, M.; Corchero, C.
local.citation.publicationNameComputers & operations research
local.citation.volume96
local.citation.startingPage316
local.citation.endingPage329


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