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Single-level Robust Bidding of Renewable-only Virtual Power Plant in Energy and Ancillary Service Markets for Worst-case Profit (https://doi.org/10.48550/arXiv.2403.02953)

dc.contributor.authorNemati, Hadies-ES
dc.contributor.authorSánchez Martín, Pedroes-ES
dc.contributor.authorBaringo Morales, Anaes-ES
dc.contributor.authorOrtega Manjavacas, Álvaroes-ES
dc.date.accessioned2024-05-28T14:00:13Z
dc.date.available2024-05-28T14:00:13Z
dc.identifier.urihttp://hdl.handle.net/11531/88631
dc.description.abstract.es-ES
dc.description.abstractThis paper proposes a novel single-level robust mathematical approach to model the RES-only Virtual Power Plant (RVPP) bidding problem in the simultaneous Day Ahead Market (DAM) and Secondary Reserve Market (SRM). The worst-case profit of RVPP due to uncertainties related to electricity prices, Non-dispatchable Renewable Energy Sources (ND-RES) production, and flexible demand is captured. In order to find the worst-case profit in a single-level model, the relationship between price and energy uncertainties leads to some non-linear constraints, which are appropriately linearized. The simulation results show the superiority of the proposed robust model compared to those in the literature, as well as its computational efficiencyen-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.titleSingle-level Robust Bidding of Renewable-only Virtual Power Plant in Energy and Ancillary Service Markets for Worst-case Profit (https://doi.org/10.48550/arXiv.2403.02953)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.keywordsRenewable-only virtual power plant, single-level model, robust optimization, uncertainty, worst-case profiten-GB


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