首页> 外文学位 >Adaptive control for large horizonal axis wind turbines in variable speed region 2 and transition operation.
【24h】

Adaptive control for large horizonal axis wind turbines in variable speed region 2 and transition operation.

机译:变速区域2中大型水平轴风力涡轮机的自适应控制和过渡运行。

获取原文
获取原文并翻译 | 示例

摘要

Renewable energy is becoming more important all over the world, and wind energy is the most important role in renewable energy right now. Many countries are producing and building wind turbines, and the turbine size is becoming larger. The larger a turbine is, the more expensive it will be. However, wind turbines will fail when overspeeding. So we need control algorithms to protect the turbine and to develop power output efficiency. The study concerns the implementation of adaptive control on a Horizontal Axis Wind Turbine (HAWT). Adaptive control in Region 3 (for protecting the wind turbine) has been considered by Dr. Mark J Balas and Dr. Susan Frost. This thesis focuses on the implementation of adaptive control in Region 2 (for developing the power output efficiency) and the Transition Region between Region 2 and Region 3. For Region 2, Adaptive Disturbance Tracking Control (DTC) with a certain tracking ratio will ensure the wind turbine has maximum power capture. Using the same Adaptive DTC in the Transition Region, but with a switching mechanism for different tracking ratios, the wind turbine will have smooth performance for connecting Region 2 and Region 3.
机译:可再生能源在世界范围内变得越来越重要,而风能现在是可再生能源中最重要的角色。许多国家正在生产和建造风力涡轮机,并且涡轮机尺寸越来越大。涡轮机越大,价格就越高。但是,超速运转时风力涡轮机将失效。因此,我们需要控制算法来保护涡轮机并提高功率输出效率。该研究涉及在水平轴风力涡轮机(HAWT)上实现自适应控制。 Mark J Balas博士和Susan Frost博士已经考虑了3区的自适应控制(用于保护风力涡轮机)。本文着重于在区域2(用于提高功率输出效率)以及区域2和区域3之间的过渡区域中实施自适应控制。对于区域2,具有一定跟踪比率的自适应扰动跟踪控制(DTC)将确保风力涡轮机具有最大的功率捕获能力。在过渡区域中使用相同的自适应DTC,但具有用于不同跟踪比率的切换机制,风力涡轮机将具有连接区域2和区域3的平稳性能。

著录项

  • 作者

    Li, Qian.;

  • 作者单位

    University of Wyoming.;

  • 授予单位 University of Wyoming.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2010
  • 页码 43 p.
  • 总页数 43
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号