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Model aggregation of large wind farms for dynamic studies

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Model aggregation of large wind farms for dynamic studies

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dc.contributor.author Martínez-Turégano, Jaime es_ES
dc.contributor.author Añó Villalba, Salvador Conrado es_ES
dc.contributor.author Chaqués-Herráiz, G. es_ES
dc.contributor.author Bernal-Perez, Soledad es_ES
dc.contributor.author Blasco-Gimenez, Ramon es_ES
dc.date.accessioned 2023-12-22T07:14:22Z
dc.date.available 2023-12-22T07:14:22Z
dc.date.issued 2017-11-01 es_ES
dc.identifier.isbn 978-1-5386-1126-5 es_ES
dc.identifier.uri http://hdl.handle.net/10251/201065
dc.description.abstract [EN] A large number of nodes is required for the detailed simulation of large off-shore wind farms. Therefore, the corresponding electromagnetic transient simulations require large simulation times. This paper compares a detailed model of an off-shore wind farm with three clusters of 50 wind turbines each one (i.e. a total of 150 wind turbines), with a simplified model consisting of three aggregated wind farms. The paper includes the aggregation criteria so equal power flows and voltages are obtained at the wind farms points of common coupling. The control is carried out using a centralized PI controller to control total active power, and a distributed droop control for active and reactive power control of each wind turbine. The proposed aggregation method leads to significant savings on computational times, with the aggregated models being more than three hundred and fifty times faster than the detailed ones. The results have been validated by means of detailed PSCAD/EMTDC simulations.v es_ES
dc.description.sponsorship The authors would like to thank the support of the Spanish Ministry of Economy and EU FEDER funds under grant DPI2014-53245-R. The support of CONICYT/FONDAP/15110019 and Fondecyt 1151325 is also kindly acknowledged. This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 691714. es_ES
dc.language Inglés es_ES
dc.publisher IEEE IES es_ES
dc.relation.ispartof Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017) es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Aggregation es_ES
dc.subject HVDC transmission control es_ES
dc.subject HVDC Diode Rectifiers es_ES
dc.subject Wind power generation es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Model aggregation of large wind farms for dynamic studies es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1109/IECON.2017.8216057 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/691714/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/FONDECYT//1151325/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2014-53245-R/ES/INTEGRACION DE FUENTES DE ENERGIA RENOVABLES Y CONTROL DE FLUJOS DE POTENCIA EN REDES HVDC MEDIANTE CONVERTIDORES MODULARES MULTI-NIVEL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/ANID//ANID%2FFONDAP%2F15110019//Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias (FONDAP)/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería del Diseño - Escola Tècnica Superior d'Enginyeria del Disseny es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Martínez-Turégano, J.; Añó Villalba, SC.; Chaqués-Herráiz, G.; Bernal-Perez, S.; Blasco-Gimenez, R. (2017). Model aggregation of large wind farms for dynamic studies. IEEE IES. 316-321. https://doi.org/10.1109/IECON.2017.8216057 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2017) es_ES
dc.relation.conferencedate Octubre 29-Noviembre 01,2017 es_ES
dc.relation.conferenceplace Beijing, China es_ES
dc.relation.publisherversion https://doi.org/10.1109/IECON.2017.8216057 es_ES
dc.description.upvformatpinicio 316 es_ES
dc.description.upvformatpfin 321 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\350546 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Agencia Nacional de Investigación y Desarrollo de Chile es_ES
dc.contributor.funder Fondo Nacional de Desarrollo Científico y Tecnológico, Chile es_ES


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