蚁群算法在风电机组变桨控制中的应用  

Ant colony algorithm strategy in pitch control for wind turbine

作　　者：邓宁峰[1] 周腊吾[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：《电工电能新技术》2016年第7期69-74,共6页Advanced Technology of Electrical Engineering and Energy

基　　金：国家国际科技合作专项(2011DFA62890)

摘　　要：运行在额定风速以上区间时,变速变桨风力发电机组采用恒功率变桨控制方式,由于额定风速至切出风速之间的风速变化范围大且迅速,使得功率波动较大且频繁,传统PID变桨控制器难以达到很好的控制效果。本文提出的蚁群PID变桨控制器,利用蚁群算法的寻优特性来优化PID参数,使得恒功率变桨控制系统更具自适应性和鲁棒性。分析了风机的恒功率变桨控制,然后给出了蚁群算法优化PID参数的策略以及具体实现步骤。仿真与实验结果验证了蚁群PID变桨控制器的良好动态性能,其有效地减缓了额定风速以上风机的功率波动。The pitch control strategy has been widely used in the wind power constant control for variable-speed variable-pitch wind turbine above the rated wind speed.The range between rated wind speed to cut-out wind speed is too large and wind speed change rapidly,so that the power fluctuate frequently and traditional PID pitch controller is difficult to achieve a good result.In the paper,giving the pitch control strategy based on PID controller which parameters can be optimized by ant colony algorithm,this PID controller enables the wind power constant control of wind turbines has a better adaptability and robustness.The wind power constant control is analyzed at first,then PID parameter optimization methods by ant colony algorithm and it＇s specific implementation steps are given,and a simulation and platform study is conducted.The final results proved the ACA-PID of wind turbine pitch control strategy has better dynamic performance,can effectively reduce the power fluctuations.

关 键 词：风力发电机组 变桨控制 蚁群算法 恒功率控制 

分 类 号：TM614[电气工程—电力系统及自动化]