Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines

被引:38
|
作者
Song, Dongran [1 ,2 ]
Chang, Qing [1 ,2 ]
Zheng, Songyue [1 ,2 ]
Yang, Sheng [3 ]
Yang, Jian [1 ,2 ]
Joo, Young Hoon [4 ]
机构
[1] Cent South Univ, Sch Automat, Changsha 410083, Peoples R China
[2] Hunan Prov Key Lab Power Elect Equipment & Grid, Changsha 410083, Peoples R China
[3] Cent South Univ, Sch Energy Sci & Engn, Changsha 410083, Peoples R China
[4] Kunsan Natl Univ, Sch IT Informat & Control Engn, Kunsan 54150, South Korea
基金
中国国家自然科学基金;
关键词
Control systems; Wind turbines; Predictive models; Adaptive systems; Wind forecasting; Predictive control; Computational complexity; Wind turbine; yaw system; wind direction; adaptive model predictive control;
D O I
10.35833/MPCE.2019.000467
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:219 / 224
页数:6
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