首页    期刊浏览 2024年11月29日 星期五
登录注册

文章基本信息

  • 标题:Gain-scheduling wind-turbine control to mitigate the effects of weather conditions on the drive-train degradation
  • 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:6
  • 页码:508-513
  • DOI:10.1016/j.ifacol.2022.07.179
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a gain-scheduling wind-turbine control strategy to mitigate the effects of adverse weather conditions on the degradation of the drive-train. By choosing a suitable control gain according to the wind class, it is possible to establish a trade-off between generated energy and drive-train degradation. The dissipated energy in the mechanical transmission is used as an indicator of degradation. The drive-train is modeled as a flexible shaft using nonlinear dynamics of a mass-spring-damper system. Simulations consider a variable speed-fixed pitch turbine of 2 MW (100 m rotor diameter), with a horizontal axis and fixed gearbox. The results show that the proposed gain-scheduling control strategy maintains the desired turbine efficiency by adequately managing the drive-train degradation according to the wind turbulence conditions.
  • 关键词:KeywordsWind Turbine ControlGain-Scheduling controlDegradation ManagementWind Conditions
国家哲学社会科学文献中心版权所有