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dc.contributor.authorMoraga Ruíz de la Muela, Rocíoes-ES
dc.contributor.authorGarcía González, Javieres-ES
dc.contributor.authorNogales Becerra, Sergioes-ES
dc.contributor.authorArteseros, Montserrates-ES
dc.date.accessioned2016-01-15T11:27:55Z-
dc.date.available2016-01-15T11:27:55Z-
dc.date.issued2006-06-11es_ES
dc.identifier.urihttp://hdl.handle.net/11531/5663-
dc.descriptionCapítulos en libroses_ES
dc.description.abstractes-ES
dc.description.abstractThis paper proposes a methodology to determine secure operation policies of hydro systems through a contingency scenario analysis in order to prevent the risk of spillage or shortage due to inflows different to those of the nominal case. The methodology is applied within a general mid-term hydro scheduling model used to find optimal and feasible schedules of cascaded reservoirs and hydro plants. The operation criterion is to maximize the expected income of a hydro generator but minimizing the possible damaging effects of the contingency scenarios considered. In order to obtain a set of realistic scenarios which considers the seasonal and spatial correlations of inflows, the contingency scenarios are created and chosen following a pattern and clustering analysis based on the statistical analysis of historical data. An example case is presented in order to illustrate the essential features of the proposed methodology.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherSin editorial (Estocolmo, Suecia)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: 9th International Conference on Probabilistic Methods Applied to Power Systems - PMAPS'06, Página inicial: , Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleA contingency analysis for managing the risk of water spillage or shortage in a mid-term hydro scheduling modeles_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.keywordses-ES
dc.keywordsHydro scheduling, flood, drought, spillage management, optimization, mid-term reservoir managementen-GB
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