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Aggregation of Type-4 Large Wind Farms Based on Admittance Model Order Reduction

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Aggregation of Type-4 Large Wind Farms Based on Admittance Model Order Reduction

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dc.contributor.author Martínez-Turégano, Jaime es_ES
dc.contributor.author Añó Villalba, Salvador Conrado es_ES
dc.contributor.author Bernal-Perez, Soledad es_ES
dc.contributor.author Blasco-Gimenez, Ramon es_ES
dc.date.accessioned 2021-07-07T03:31:16Z
dc.date.available 2021-07-07T03:31:16Z
dc.date.issued 2019-05-01 es_ES
dc.identifier.uri http://hdl.handle.net/10251/168882
dc.description.abstract [EN] This paper presents an aggregation technique based on the resolution of a multi-objective optimization problem applied to the admittance model of a wind power plant (WPP). The purpose of the presented aggregation technique is to reduce the order of the wind power plant model in order to accelerate WPP simulation while keeping a very similar control performance for both the simplified and the detailed models. The proposed aggregation technique, based on the admittance model order reduction, ensures the same DC gain, the same gain at the operating band frequency, and the same resonant peak frequency as the detailed admittance model. The proposed aggregation method is validated considering three 400-MW grid-forming Type-4 WPPs connected to a diode rectifier HVDC link. The proposed aggregation technique is compared to two existing aggregation techniques, both in terms of frequency and time response. The detailed and aggregated models have been tested using PSCAD-EMTsimulations, with the proposed aggregated model leading to a 350-fold reduction of the simulation time with respect to the detailed model. Moreover, for the considered scenario, the proposed aggregation technique offers simulation errors that are, at least, three-times smaller than previously-published aggregation techniques. es_ES
dc.description.sponsorship The authors would like to thank the support of the Spanish Ministry of Science, Innovation and Universities and EU FEDER funds under Grants DPI2014-53245-R and DPI2017-84503-R. 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 MDPI AG es_ES
dc.relation.ispartof Energies es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Off-shore wind farms es_ES
dc.subject Wind farm aggregation es_ES
dc.subject Amittance model order reduction es_ES
dc.subject HVDC diode rectifiers es_ES
dc.subject Grid-forming wind turbines es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Aggregation of Type-4 Large Wind Farms Based on Admittance Model Order Reduction es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/en12091730 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/691714/EU/PROMOTioN - Progress on Meshed HVDC Offshore Transmission Networks/ 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/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-84503-R/ES/INTERACCION CONVERTIDOR-RED Y CONVERTIDOR-CONVERTIDOR EN REDES HVDC Y HVAC CON ALTA PENETRACION DE GENERACION RENOVABLE/ 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.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation Martínez-Turégano, J.; Añó Villalba, SC.; Bernal-Perez, S.; Blasco-Gimenez, R. (2019). Aggregation of Type-4 Large Wind Farms Based on Admittance Model Order Reduction. Energies. 12(9):1-21. https://doi.org/10.3390/en12091730 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/en12091730 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 21 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 9 es_ES
dc.identifier.eissn 1996-1073 es_ES
dc.relation.pasarela S\394140 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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