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Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines
Journal of Modern Power Systems and Clean Energy ( IF 6.3 ) Pub Date : 2020-11-26 , DOI: 10.35833/mpce.2019.000467
Dongran Song , Qing Chang , Songyue Zheng , Sheng Yang , Jian Yang , Young Hoon Joo

Due to varying characteristics of the wind condition, the performance of the wind turbines can be optimized by adapting the parameters of the control system. In this letter, an adaptive technique is proposed for the novel model predictive control (MPC) for the yaw system of the wind turbines. The control horizon is adapted to the one with the best predictive performance among multiple control horizons. The adaptive MPC is demonstrated by simulations using real wind data, and its performance is compared with the baseline MPC at fixed control horizon. Results show that the adaptive MPC provides better comprehensive performance than the baseline ones at different preview time of wind directions. Therefore, the proposed adaptive technique is potentially useful for the wind turbines in the future.

中文翻译:

变速风力发电机偏航系统的自适应模型预测控制

由于风况的变化特性,可以通过调整控制系统的参数来优化风力涡轮机的性能。在这封信中,针对风力涡轮机偏航系统的新型模型预测控制(MPC)提出了一种自适应技术。控制范围适用于多个控制范围中具有最佳预测性能的控制范围。通过使用实际风数据进行仿真来演示自适应MPC,并将其性能与固定控制范围内的基准MPC进行比较。结果表明,在不同的风向预览时间,自适应MPC的综合性能要优于基线。因此,所提出的自适应技术将来可能对风力涡轮机有用。
更新日期:2021-01-26
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