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Identification of Linearized RMS-Voltage Dip Patterns Based on Clustering in Renewable Plants

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Identification of Linearized RMS-Voltage Dip Patterns Based on Clustering in Renewable Plants

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dc.contributor.author García-Sánchez, Tania María es_ES
dc.contributor.author Gómez-Lázaro, Emilio es_ES
dc.contributor.author Muljadi, Edward es_ES
dc.contributor.author Kessler, Mathieu es_ES
dc.contributor.author Muñoz-Benavente, Irene es_ES
dc.contributor.author Molina-García, Angel es_ES
dc.date.accessioned 2020-10-31T04:32:42Z
dc.date.available 2020-10-31T04:32:42Z
dc.date.issued 2018-03-27 es_ES
dc.identifier.issn 1751-8687 es_ES
dc.identifier.uri http://hdl.handle.net/10251/153793
dc.description.abstract [EN] Generation units connected to the grid are currently required to meet low-voltage ride-through (LVRT) requirements. In most developed countries, these requirements also apply to renewable sources, mainly wind power plants and photovoltaic installations connected to the grid. This study proposes an alternative characterisation solution to classify and visualise a large number of collected events in light of current limits and requirements. The authors' approach is based on linearised root-mean-square-(RMS)-voltage trajectories, taking into account LRVT requirements, and a clustering process to identify the most likely pattern trajectories. The proposed solution gives extensive information on an event's severity by providing a simple but complete visualisation of the linearised RMS-voltage patterns. In addition, these patterns are compared to current LVRT requirements to determine similarities or discrepancies. A large number of collected events can then be automatically classified and visualised for comparative purposes. Real disturbances collected from renewable sources in Spain are used to assess the proposed solution. Extensive results and discussions are also included in this study. es_ES
dc.description.sponsorship The authors thank the financial support from the 'Ministerio de Economia y Competitividad' (Spain) and the European Union - ENE2016-78214-C2-2-R, Fulbright/Spanish Ministry of Education Visiting Scholar - PRX14/00694. This work was also supported by the US Department of Energy under contract no. DE-AC36-08-GO28308 with the National Renewable Energy Laboratory es_ES
dc.language Inglés es_ES
dc.publisher Institution of Electrical Engineers es_ES
dc.relation.ispartof IET Generation Transmission & Distribution es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Clustering es_ES
dc.subject Voltage measurement es_ES
dc.subject Pattern recognition es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Identification of Linearized RMS-Voltage Dip Patterns Based on Clustering in Renewable Plants es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1049/iet-gtd.2017.0474 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//ENE2016-78214-C2-2-R/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//PRX14%2F00694/ES/PRX14%2F00694/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/DOE//DE-AC36-08-GO28308/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica es_ES
dc.description.bibliographicCitation García-Sánchez, TM.; Gómez-Lázaro, E.; Muljadi, E.; Kessler, M.; Muñoz-Benavente, I.; Molina-García, A. (2018). Identification of Linearized RMS-Voltage Dip Patterns Based on Clustering in Renewable Plants. IET Generation Transmission & Distribution. 12(6):1256-1262. https://doi.org/10.1049/iet-gtd.2017.0474 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1049/iet-gtd.2017.0474 es_ES
dc.description.upvformatpinicio 1256 es_ES
dc.description.upvformatpfin 1262 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 6 es_ES
dc.relation.pasarela S\345199 es_ES
dc.contributor.funder Ministerio de Educación es_ES
dc.contributor.funder U.S. Department of Energy es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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