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dc.contributor.authorNemati, Hadies-ES
dc.contributor.authorSánchez Martín, Pedroes-ES
dc.contributor.authorOrtega Manjavacas, Álvaroes-ES
dc.contributor.authorSigrist, Lukases-ES
dc.contributor.authorLobato Miguélez, Enriquees-ES
dc.date.accessioned2024-05-28T13:56:20Z
dc.date.available2024-05-28T13:56:20Z
dc.identifier.urihttp://hdl.handle.net/11531/88630
dc.description.abstract.es-ES
dc.description.abstractIn this paper, a novel approach to define the optimal bidding of renewable-only virtual power plants (RVPPs) in the day-ahead, secondary reserve, and intra-day markets is proposed. To this aim, a robust optimization algorithm is developed to account for the asymmetric nature of the uncertainties that characterize the market prices, as well as the energy production of the RVPP stochastic sources and flexible demand consumption. Simulation results show increased RVPP benefits compared to other existing solutions and demonstrate the potential of renewable sources to further increase their economic competitiveness. The simplicity of the implementation, the computational efficiency, and the flexible robustness are also verifieden-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightsCreative Commons Reconocimiento-NoComercial-SinObraDerivada Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/es_ES
dc.titleFlexible Robust Optimal Bidding of Renewable Virtual Power Plants in Sequential Markets (https://doi.org/10.48550/arXiv.2402.12032)es_ES
dc.typeinfo:eu-repo/semantics/workingPaperes_ES
dc.description.versioninfo:eu-repo/semantics/draftes_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywords.es-ES
dc.keywordsEnergy markets, renewable-only virtual power plant, reserve markets, robust optimization, stochastic sourcesen-GB


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Creative Commons Reconocimiento-NoComercial-SinObraDerivada España
Except where otherwise noted, this item's license is described as Creative Commons Reconocimiento-NoComercial-SinObraDerivada España