期刊
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY
卷 9, 期 1, 页码 219-224出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.35833/MPCE.2019.000467
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
资金
- National Natural Science Foundation of China [61803393]
- Natural Science Foundation of Hunan Province [2020JJ4751]
- Innovation-Driven Project of Central South University [2020CX031]
- Basic Science Research Program of Korea [NRF-2016R1A6A1A03013567]
An adaptive model predictive control (MPC) technique for the yaw system of wind turbines is proposed in this study, showing superior performance through simulations using real wind data. Compared to fixed baseline MPC, the adaptive technique provides better comprehensive performance at different preview times of wind directions.
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.
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