基于ACA-PID算法的风机独立变桨控制  

Individual pitch control strategy based on ACA-PID controller in wind turbine

作　　者：周腊吾[1] 邓宁峰[1] 陈浩 韩兵[1] 田猛[1] 

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082 [2]湖南世优电气股份有限公司,湖南湘潭411100

出　　处：《电力系统保护与控制》2016年第15期99-105,共7页Power System Protection and Control

基　　金：国家国际科技合作专项(2011DFA62890);湖南省研究生科研创新项目(CX2016B131)

摘　　要：为了缓解大型风机在额定风速以上出现的不平衡载荷问题,针对变速变桨风电机组,给出了一种基于蚁群算法优化PID参数的风机独立变桨控制策略。利用蚁群算法的寻优特性,优化传统PID变桨控制器的参数,使其兼有PID控制的精简性与蚁群算法的自适应性,给出了其具体的实施步骤。构建了风力发电机独立变桨控制模型,对新策略与传统策略进行了仿真与实验。仿真与实验结果表明,基于蚁群算法优化PID参数的风机独立变桨控制策略是有效和实用的,该策略能提高控制系统的动态性能,有效地减少不平衡载荷,改善风机的振动状态。In order to alleviate the unbalanced load that occurred in operation above rated wind speed in large wind turbines, for variable speed variable pitch wind turbine, this paper gives IPC（independent pitch control） strategy based on PID controller which parameters can be optimized by ACA（Ant Colony Algorithm）. It uses the optimization of ACA to optimize the parameters of traditional PID pitch controller, thus to makes it has adaptiveness of PID control and streamlining of ACA, and gives its specific implementation steps. The wind turbine IPC model is constructed and the simulation and experiment of the new strategy and the traditional strategy are made. The simulation and experimental results show that the IPC based on ACA-PID is effective and practical, it can enhance the dynamic performance of the control system, effectively reduce load imbalance and improve the vibrational state of the wind turbine.

关 键 词：风电机组 独立变桨控制 蚁群算法 PID 不平衡载荷 

分 类 号：TM315[电气工程—电机]