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  • 标题:Long-term degradation estimation of wind turbine drive-train under a gain-scheduling control strategy according to the weather conditions
  • 本地全文:下载
  • 作者:Elena E. Romero ; Christophe Bérenguer ; John J. Martinez
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2022
  • 卷号:55
  • 期号:19
  • 页码:13-18
  • DOI:10.1016/j.ifacol.2022.09.177
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper proposes a methodology to analyze the long-term degradation of a wind turbine drive-train using a gain-scheduling control strategy considering the variation in the wind conditions. The degradation in the transmission is modeled through a simplified dynamical system based on contact mechanics, employing the dissipated energy as an indicator of the degradation in the shaft. In addition, a gain-scheduling control strategy is considered to assign a control gain according to the wind flow conditions. The long-term simulation is based on the accelerated degradation due to turbulent wind compared to the laminar flow. Numerical experiments were considered to illustrate the proposed approach, assuming a 2 MW variable speed-fixed pitch turbine with a horizontal axis and fixed gearbox.
  • 关键词:KeywordsDeteriorating ModelingWind Turbine ControlGain-Scheduling Control StrategyWind Conditions
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