...
首页> 外文期刊>Control Theory & Applications, IET >Trade-off between power extraction maximisation and fatigue reduction in wind farms via second-order sliding mode control and min–max optimisation
【24h】

Trade-off between power extraction maximisation and fatigue reduction in wind farms via second-order sliding mode control and min–max optimisation

机译:二阶滑动模式控制和MIN-MAT优化的电力促进功率最大化与风电场疲劳减少的权衡

获取原文
获取原文并翻译 | 示例
           

摘要

In the last 10 years, with the increase of renewable energies, great attention is devoted to operation and maintenance of wind turbines and wind farms, which are the fundamental objectives to be guaranteed by the design of control systems. This study proposes a trade-off approach between fatigue reduction and power extraction for wind farm scenarios. The focus of this approach is to reduce maintenance costs for fatigue loads. This issue is solved by an optimisation problem, in which the maximum fatigue load among the turbines in the wind farm is minimised, then pitch angle and tip-speed ratio are given as reference points for each turbine in the wind farm. Furthermore, the super-twisting sliding mode algorithm is used for the rotor speed control and it shows that the turbines work at the optimised operating points. Moreover, the sliding mode controller produces continuous torques and improves the wind turbine performance by enhancing energy capture and reducing dynamic loads. The effectiveness of the method is illustrated through simulations of two wind farm scenarios. The results obtained with the proposed approach are compared with the case when each turbine in the wind farm tracks the maximum power operating point.
机译:在过去的10年里,随着可再生能源的增加,致力于风力涡轮机和风电场的运营和维护,这是控制系统设计的基本目标。本研究提出了风电场情景疲劳减少和电力提取的权衡方法。这种方法的重点是降低疲劳负荷的维护成本。该问题通过优化问题解决,其中风电场中涡轮机中的最大疲劳负载最小化,然后将俯仰角和尖端速比作为风电场中的每个涡轮机的参考点给出。此外,超扭转滑模算法用于转子速度控制,并且它表明涡轮机在优化的操作点工作。此外,滑动模式控制器通过增强能量捕获和减少动态载荷来产生连续扭矩并提高风力涡轮机性能。通过两种风电场场景的模拟来说明该方法的有效性。使用所提出的方法获得的结果与风电场中的每个涡轮机追踪最大功率操作点的情况进行比较。

著录项

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