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Impact of uncertain data in robust optimal bidding of RVPP in energy and reserve markets

dc.contributor.authorNemati, Hadies-ES
dc.contributor.authorSánchez Martín, Pedroes-ES
dc.contributor.authorSigrist, Lukases-ES
dc.contributor.authorOrtega Manjavacas, Álvaroes-ES
dc.date.accessioned2025-09-26T17:57:52Z
dc.date.available2025-09-26T17:57:52Z
dc.date.issued2025-02-11es_ES
dc.identifier.urihttp://hdl.handle.net/11531/105301
dc.descriptionCapítulos en libroses_ES
dc.description.abstractDifferent probability distributions yield different outcomes of optimization problems under uncertainty such as the optimal bidding problem of RES-only Virtual Power Plant (RVPP). Robust Optimization represents uncertainties by sets, which are parameterized according to the assumed underlying probability distributions. This paper analyzes the impact of uncertain data related to energy and reserve market prices as well as non-dispatchable renewable production and demand on the outcomes of the optimal RVPP electricity market bidding problem. Different parameters related to the accuracy and shape of data forecast are analyzed and their impact on the RVPP bidding strategy is obtained by sensitivity analysis.es-ES
dc.description.abstractDifferent probability distributions yield different outcomes of optimization problems under uncertainty such as the optimal bidding problem of RES-only Virtual Power Plant (RVPP). Robust Optimization represents uncertainties by sets, which are parameterized according to the assumed underlying probability distributions. This paper analyzes the impact of uncertain data related to energy and reserve market prices as well as non-dispatchable renewable production and demand on the outcomes of the optimal RVPP electricity market bidding problem. Different parameters related to the accuracy and shape of data forecast are analyzed and their impact on the RVPP bidding strategy is obtained by sensitivity analysis.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherInstitute of Electrical and Electronics Engineers Power and Energy Society; University of Zagreb (Dubrovnik, Croacia)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: IEEE PES International Conference on Innovative Smart Grid Technologies Europe - ISGT Europe 2024, Página inicial: 1-5, Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleImpact of uncertain data in robust optimal bidding of RVPP in energy and reserve marketses_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordsRenewable-only virtual power plant, robust optimization, data forecast sensitivity, energy and reserve markets.es-ES
dc.keywordsRenewable-only virtual power plant, robust optimization, data forecast sensitivity, energy and reserve markets.en-GB


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