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dc.contributor.authorRolán Blanco, Alejandro
dc.contributor.authorCórcoles López, Felipe
dc.contributor.authorBogarra Rodríguez, Santiago
dc.contributor.authorMonjo Mur, Lluís
dc.contributor.authorPedra Durán, Joaquim
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.date.accessioned2020-06-29T06:51:29Z
dc.date.available2020-06-29T06:51:29Z
dc.date.issued2016-06
dc.identifier.citationRolan, A. [et al.]. Reduced-order models of squirrel-cage induction generators for fixed-speed wind turbines under unbalanced grid conditions. "IEEE transactions on energy conversion", Juny 2016, vol. 31, núm. 2, p. 566-577.
dc.identifier.issn0885-8969
dc.identifier.urihttp://hdl.handle.net/2117/191813
dc.description© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractThis paper develops a study of reduced-order models for squirrel-cage induction generators used in the fixed-speed wind turbines. The squirrel-cage of these generators must be modeled with a double-cage for accuracy purposes. These proposed reduced-order models are valid for unbalanced grid conditions (unsymmetrical faults), which require flux and current decomposition into positive-and negative-sequences. Three reduced-order models are obtained: R2 model, where the derivative of the positive and negative-sequences of the stator fluxes are neglected (the usual approach in the literature); R1 model, where the derivative of the negative-sequence of the rotor fluxes are also neglected (proposed model); and R0 model, where all the stator and rotor fluxes are neglected (steady-state electrical model). The analytical models are validated with simulations carried out in the MATLAB and with experimental tests. The results show that R1 model (proposed model) shows a good performance (similar to the full-order model) under unbalanced conditions.
dc.format.extent12 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies::Energia eòlica
dc.subjectÀrees temàtiques de la UPC::Energies::Energia eòlica::Aerogeneradors
dc.subjectÀrees temàtiques de la UPC::Enginyeria elèctrica
dc.subjectÀrees temàtiques de la UPC::Enginyeria elèctrica::Maquinària i aparells elèctrics
dc.subjectÀrees temàtiques de la UPC::Enginyeria elèctrica::Distribució d’energia elèctrica
dc.subject.lcshWind turbines
dc.subject.lcshElectric power systems
dc.subject.lcshElectric machinery
dc.subject.otherDouble-cage induction generator (DGIG)
dc.subject.otherFixed-speed wind turbines
dc.subject.otherReduced-order of induction generator models
dc.subject.otherUnbalanced grid conditions
dc.titleReduced-order models of squirrel-cage induction generators for fixed-speed wind turbines under unbalanced grid conditions
dc.typeArticle
dc.subject.lemacAerogeneradors
dc.subject.lemacSistemes de distribució d'energia elèctrica
dc.subject.lemacMaquinària elèctrica
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. QSE - Qualitat del Subministrament Elèctric
dc.identifier.doi10.1109/TEC.2015.2504793
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7359165
dc.rights.accessOpen Access
local.identifier.drac18732392
dc.description.versionPostprint (published version)
local.citation.authorRolan, A.; Corcoles, F.; Bogarra, S.; Monjo, L.; Pedra, J.
local.citation.publicationNameIEEE transactions on energy conversion
local.citation.volume31
local.citation.number2
local.citation.startingPage566
local.citation.endingPage577


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Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain