dc.creatorBarros
dc.creatorTarcio A. S.; Neto
dc.creatorPedro J. S.; Filho
dc.creatorPaulo S. N.; Moreira
dc.creatorAdson B.; Ruppert
dc.creatorErnesto
dc.date2016
dc.datenov
dc.date2017-11-13T13:12:29Z
dc.date2017-11-13T13:12:29Z
dc.date.accessioned2018-03-29T05:50:42Z
dc.date.available2018-03-29T05:50:42Z
dc.identifierRenewable Energy. Pergamon-elsevier Science Ltd , v. 97, p. 114 - 128, 2016.
dc.identifier0960-1481
dc.identifierWOS:000380600500011
dc.identifier10.1016/j.renene.2016.05.064
dc.identifierhttp://www-sciencedirect-com.ez88.periodicos.capes.gov.br/science/article/pii/S0960148116304748?via%3Dihub
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/326885
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1363910
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionIn this paper, algorithms are proposed to get optimal parameters of a switched reluctance generator (SRG) when applied in variable speed wind generation systems. The driver's parameters affect power generated, torque ripples, iron losses, and electric losses. Therefore, the optimal values of the drive activation must be defined for SRG's operation in a wide speed range. Thus, knowing the operating points of the wind turbine (speed and power), algorithms that perform dynamic simulations of the operation at low and high speed were developed. Driver's parameters of the SRG are obtained through cost functions, which are defined such that the balance between torque ripples, iron losses, and electric losses are maintained. With simulations results, the cost functions were minimized to get SRG's optimal firing angles according to the operating speed. Simulation and experimental tests were performed emulating a wind turbine system. The results confirmed the efficiency of the methodology proposed in this paper. (C) 2016 Elsevier Ltd. All rights reserved.
dc.description97
dc.description114
dc.description128
dc.descriptionFAPESP [12/04872-0, 12/08911-0, 15/12861-6]
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageEnglish
dc.publisherPergamon-Elsevier Science LTD
dc.publisherOxford
dc.relationRenewable Energy
dc.rightsfechado
dc.sourceWOS
dc.subjectFiring Angles
dc.subjectOptimization
dc.subjectSwitched Reluctance Generators
dc.subjectWind Energy
dc.titleApproach For Performance Optimization Of Switched Reluctance Generator In Variable-speed Wind Generation System
dc.typeArtículos de revistas


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