dc.contributor.author | González Garrido, Amaia | |
dc.contributor.author | Villarreal, Igor | |
dc.contributor.author | Gaztañaga, Haizea | |
dc.contributor.author | Saez de Ibarra, Andoni | |
dc.contributor.author | Eguía López, Pablo | |
dc.date.accessioned | 2019-06-14T13:22:42Z | |
dc.date.available | 2019-06-14T13:22:42Z | |
dc.date.issued | 2019-05-21 | |
dc.identifier.citation | Journal of Physics: Conference Series 1222(1) : (2019) // Article ID 012039 | es_ES |
dc.identifier.issn | 1742-6588 | |
dc.identifier.uri | http://hdl.handle.net/10810/33247 | |
dc.description.abstract | This paper addresses the joint operation of wind plants with energy storage systemsin multiple markets to increase the value of wind energy from an economic and technical point of view. The development of an optimized energy management allows scheduling the wind generation in energymarkets, as well as contributing to the system stability through the joint participation in frequency ancillary services. The market optimization maximizes market revenuesconsidering overallstoragecosts, while avoidingenergy imbalancesand market penalties. Moreover, wind power fluctuations, forecast errors and real-time reserverequirementsare controlledby the energy storagesystem and managed afterward through the participation in continuous intraday market. Furthermore, model predictive control approach enables a high compliance of reserve requirementsand a hugereduction of energy imbalancesin real-time operation. Different energy storagecapacities are selected in order to evaluate theircost-effectiveness enhancing the wind plant operation underthe considered study case. | es_ES |
dc.description.sponsorship | This work was partially supported by the Basque Government under Project Road2DC (ELKARTEK Research Program KK-2018/00083). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | IOP Publishing | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | compliance control | es_ES |
dc.subject | cost effectiveness | es_ES |
dc.subject | energy management | es_ES |
dc.subject | energy storage | es_ES |
dc.subject | model predictive control | es_ES |
dc.subject | scheduling | es_ES |
dc.subject | system stability | es_ES |
dc.subject | wind power | es_ES |
dc.title | Optimized Energy Management Strategy for Wind Plants with Storage in Energy and Reserve Markets | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | cc-by, Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd | |
dc.relation.publisherversion | https://iopscience.iop.org/article/10.1088/1742-6596/1222/1/012039 | es_ES |
dc.identifier.doi | 10.1088/1742-6596/1222/1/012039 | |
dc.departamentoes | Ingeniería eléctrica | es_ES |
dc.departamentoeu | Ingeniaritza elektrikoa | es_ES |