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On optimal participation in the electricity markets of wind power plants with battery energy storage systems
dc.contributor.author | Heredia, F.-Javier (Francisco Javier) |
dc.contributor.author | Cuadrado Guevara, Marlyn Dayana |
dc.contributor.author | Corchero García, Cristina |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa |
dc.date.accessioned | 2018-06-25T15:06:46Z |
dc.date.available | 2018-06-25T15:06:46Z |
dc.date.issued | 2018-01-01 |
dc.identifier.citation | Heredia, 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.issn | 0305-0548 |
dc.identifier.uri | http://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.abstract | The 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.extent | 14 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística |
dc.subject.other | Battery energy storage systems |
dc.subject.other | Electricity markets |
dc.subject.other | Ancillary services market |
dc.subject.other | Wind power generation |
dc.subject.other | Virtual power plants |
dc.subject.other | Stochastic programming |
dc.title | On optimal participation in the electricity markets of wind power plants with battery energy storage systems |
dc.type | Article |
dc.contributor.group | Universitat Politècnica de Catalunya. GNOM - Grup d'Optimització Numèrica i Modelització |
dc.identifier.doi | 10.1016/j.cor.2018.03.004 |
dc.description.peerreviewed | Peer Reviewed |
dc.subject.ams | Classificació AMS::60 Probability theory and stochastic processes |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S030505481830073X |
dc.rights.access | Open Access |
local.identifier.drac | 22527876 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info: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.author | Heredia, F.; Cuadrado, M.; Corchero, C. |
local.citation.publicationName | Computers & operations research |
local.citation.volume | 96 |
local.citation.startingPage | 316 |
local.citation.endingPage | 329 |
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