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dc.contributor.authorSigrist, Lukases-ES
dc.contributor.authorEgido Cortés, Ignacioes-ES
dc.contributor.authorSánchez Ubeda, Eugenio Franciscoes-ES
dc.contributor.authorRouco Rodríguez, Luises-ES
dc.date.accessioned2016-01-15T11:18:03Z-
dc.date.available2016-01-15T11:18:03Z-
dc.date.issued2010-05-01es_ES
dc.identifier.issn0885-8950es_ES
dc.identifier.urihttps://doi.org/10.1109/TPWRS.2009.2031839es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstractThis paper studies an approach to identify representative operating and contingency (OC) scenarios for the design of underfrequency load-shedding (UFLS) schemes. In small isolated power systems, contingency scenarios are outages of generating units. Usually, only N-1 outages are considered. In this paper, simultaneous outages of several units are also taken into account. Data mining techniques such as K-Means and Fuzzy C-Means algorithms are used to group scenarios in terms of system frequency and to identify representative OC scenarios. The approach has been applied to the design of UFLS schemes of two of the Spanish isolated power systems. The results have also been compared to the common practice of scenario selection. Clustering techniques yielded to satisfactory results, i.e., representative OC scenarios can be identified. Furthermore, these representative OC scenarios cover a wider range of possible system responses than the scenarios selected following the common practice.es-ES
dc.description.abstractThis paper studies an approach to identify representative operating and contingency (OC) scenarios for the design of underfrequency load-shedding (UFLS) schemes. In small isolated power systems, contingency scenarios are outages of generating units. Usually, only N-1 outages are considered. In this paper, simultaneous outages of several units are also taken into account. Data mining techniques such as K-Means and Fuzzy C-Means algorithms are used to group scenarios in terms of system frequency and to identify representative OC scenarios. The approach has been applied to the design of UFLS schemes of two of the Spanish isolated power systems. The results have also been compared to the common practice of scenario selection. Clustering techniques yielded to satisfactory results, i.e., representative OC scenarios can be identified. Furthermore, these representative OC scenarios cover a wider range of possible system responses than the scenarios selected following the common practice.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceRevista: IEEE Transactions on Power Systems, Periodo: 1, Volumen: online, Número: 2, Página inicial: 906, Página final: 913es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleRepresentative operating and contingency scenarios for the design of UFLS schemeses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywordsClustering methods, frequency stability, load sheddinges-ES
dc.keywordsClustering methods, frequency stability, load sheddingen-GB
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