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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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