DOI:10.35833/MPCE.2019.000467 Adaptive Model Predictive Control for Yaw System of Variable-speed Wind Turbines Page view: 0        Net amount: 82 Author: Dongran Song1,Qing Chang1,Songyue Zheng1,Sheng Yang2,Jian Yang1,Young Hoon Joo3 Author Affiliation: 1.School of Automation, Central South University, and Hunan Provincial Key Laboratory of Power Electronics Equipment and Grid, Changsha 410083, China;2.School of Energy Science and Engineering, Central South University, Changsha 410083, China;3.School of IT Information and Control Engineering, Kunsan National University, Kunsan 54150, Korea Foundation: This work was supported by the National Natural Science Foundation of China (No. 61803393), the Natural Science Foundation of Hunan Province (No. 2020JJ4751), the Innovation-Driven Project of Central South University (No. 2020CX031), and the Basic Science Research Program of Korea (No. NRF-2016R1A6A1A03013567). Abstract: 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. Keywords: Wind turbine ; yaw system ; wind direction ; adaptive model predictive control Received:July 12, 2019               Online Time:2021/01/22 View Full Text       Download reader