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dc.contributor.authorLobato Miguélez, Enriquees-ES
dc.contributor.authorEchavarren Cerezo, Franciscoes-ES
dc.contributor.authorRouco Rodríguez, Luises-ES
dc.contributor.authorDuvison Santiago, Migueles-ES
dc.contributor.authorDíez Maroto, Luises-ES
dc.date.accessioned2026-03-23T05:23:03Z-
dc.date.available2026-03-23T05:23:03Z-
dc.date.issued2025-12-31es_ES
dc.identifier.urihttp://hdl.handle.net/11531/109298-
dc.descriptionCapítulos en libroses_ES
dc.description.abstractRenewable energy sources (RES) curtailment occurs when the injection from RES exceeds the grid's capacity to absorb it either because it surpasses the demand to be delivered, or because it creates technical constraints. Currently, RES curtailment in continental Spain occurs when RES generation causes overloads incompatible with Spanish security criteria. Forecasting annual RES spillage for a specific future plant to be located in a certain area of the Spanish power system becomes critical for the promoter in order to decide the size and confirm the investment profitability. This paper proposes a novel procedure to forecast annual RES curtailments of a future plant to be deployed at a certain location of the Spanish peninsular real-life power system where real-life limited information is available. The procedure comprises three steps: (a) selection of a most critical reference scenario representative of both high demand and RES production, (b) detection and solution of overloads with minimum RES curtailment, and (c) intersection of computed maximum RES injection with load-duration curve. The computation of the short-term annual energy spillage of a future 300 MW solar photovoltaic (PV) power plant to be deployed in Aragon autonomous region (northeast of Spain) is provided as case study to illustrate the simplicity and adequacy of the method.es-ES
dc.description.abstractRenewable energy sources (RES) curtailment occurs when the injection from RES exceeds the grid's capacity to absorb it either because it surpasses the demand to be delivered, or because it creates technical constraints. Currently, RES curtailment in continental Spain occurs when RES generation causes overloads incompatible with Spanish security criteria. Forecasting annual RES spillage for a specific future plant to be located in a certain area of the Spanish power system becomes critical for the promoter in order to decide the size and confirm the investment profitability. This paper proposes a novel procedure to forecast annual RES curtailments of a future plant to be deployed at a certain location of the Spanish peninsular real-life power system where real-life limited information is available. The procedure comprises three steps: (a) selection of a most critical reference scenario representative of both high demand and RES production, (b) detection and solution of overloads with minimum RES curtailment, and (c) intersection of computed maximum RES injection with load-duration curve. The computation of the short-term annual energy spillage of a future 300 MW solar photovoltaic (PV) power plant to be deployed in Aragon autonomous region (northeast of Spain) is provided as case study to illustrate the simplicity and adequacy of the method.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherInstitute of Electrical and Electronics Engineers Power and Energy Society; IEEE Industry Applicatio (El Cairo, Egipto)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: 13th IEEE PES/IAS Power Africa Conference - PAC 2025, Página inicial: 1-6, Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT) - Derecho ambiental, salud pública y desarrollo sosteniblees_ES
dc.titleA Novel Procedure to Forecast Annual RES Curtailments in the Spanish Power Systemes_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.keywordspower system constraints, congestion management, RES integration, RES curtailmentes-ES
dc.keywordspower system constraints, congestion management, RES integration, RES curtailmenten-GB
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