Individual Blade Pitch Control for Floating Wind Turbines Bearing the Coupling of Aerodynamic - Hydrodynamic - Mooring Loads

被引：0
|
作者：
Li, Feilong [1 ]
Zhou, Lawu [1 ]
Li, Ling [1 ]
Wang, Hui [1 ]
Guo, Hao [1 ]
Liang, Yu [1 ]
机构：
[1] Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha, Peoples R China
来源：
2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019) | 2019年
关键词：
floating wind turbines; individual blade pitch control; Ant Colony Algorithm;
D O I：
暂无
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：
In order to alleviate the unstable power output, unbalanced load of the wind turbine and the sway of the floating foundation above the rated wind speed for the multi-degree-of-freedom, non-linear and strongly coupled floating wind turbine, an individual blade pitch control strategy based on Ant Colony Algorithm (ACA) is proposed in this paper. Aiming at the problems of low search efficiency and poor quality of traditional Ant Colony Algorithm, the ACA-PID individual blade pitch controller for floating wind turbine is improved by using the best-worst ant system. Under the joint simulation of FAST-matlab/Simulink, the effectiveness of this strategy is verified by comparing with traditional PI control.
引用
收藏
页码：1632 / 1637
页数：6
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