基于蚁群算法的Spar型浮式风机独立变桨控制方法  

Individual blade pitch control method of Spar floating wind turbine based on ant colony algorith

作　　者：李飞龙 周腊吾[1] 李玲[1] 王辉[1] 郭浩[1] Li Feilong;Zhou Lawu;Li Ling;Wang Hui;Guo Hao(Changsha University of Science and Technology,Changsha 410114,China)

机构地区：[1]长沙理工大学,湖南长沙410114

出　　处：《可再生能源》2020年第6期771-777,共7页Renewable Energy Resources

基　　金：湖南省科技创新计划项目(2018JJ2434)。

摘　　要：针对多自由度、非线性、强耦合的漂浮式风电机组,为了缓解其在额定风速以上出现的风轮载荷不平衡、漂浮式基础摇荡及功率输出不稳定等问题,提出了一种基于蚁群算法的独立变桨控制方法,用于动态优化PID控制器参数。针对传统蚁群算法搜索效率低、质量差等问题,文章采用最优-最劣蚂蚁系统对其改进,得到了更适用于漂浮式风电机组的蚁群PID独立变桨控制方法。FAST-Matlab/Simulink联合仿真结果表明,相比于PID独立变桨控制,基于蚁群算法的独立变桨控制方法能有效地减小桨叶根部所受力矩,缓解漂浮式基础的纵向运动,保证功率输出的稳定。In order to alleviate the unbalanced load of the wind turbine,an individual blade pitch control method based on ant colony algorithm is proposed in this paper.Aiming at the problems of low searching efficiency and poor quality of the traditional ant colony algorithm,the best-worst ant system is adopted to improve it,an ant colony PID individual blade pitch control method which is more suitable for floating wind turbine is obtained.Under the joint simulation of FAST-Matlab/Simulink,the results show that,the PID individual blade pitch control method based on ant colony algorithm can effectively reduce the moment at the blade root,alleviate the longitudinal motion of the floating foundation and ensure the stability of power output.

关 键 词：漂浮式风电机组 独立变桨控制 蚁群算法 最优-最劣蚂蚁系统 

分 类 号：TK83[动力工程及工程热物理—流体机械及工程]