摘要
基于人工蜂群(ABC)算法对大型风电机组的变桨距控制器参数进行优化研究(ABC-PID)。将待优化的PID控制器参数看作蜜源,通过风轮转速误差和超调惩罚项设计适应度函数,利用蜂群觅食行为智能搜索出最优参数组合。运用FAST与Matlab/Simulink联合仿真,结果表明:与PI控制相比,ABC-PID控制能够有效降低输出功率和风轮转速的波动,可提高恒功率控制精度,并能同时减少传动链疲劳荷载和机组结构反应,增加风电机组的使用寿命。
The parameters of pitch controller for large-scale wind turbines are optimized based on artificial bee colony(ABC)algorithm(ABC-PID). The parameters of PID controller to be optimized are regarded as the honey source. The fitness function is designed by the rotor speed error and overshoot penalty. The optimized parameter combination is searched by using the foraging behavior of the colony. The combined simulation between FAST and Matlab/Simulink is used. The simulation results show that compared with the traditional PI controller,the ABC-PID controller can effectively reduce the fluctuation of output power and rotor speed,which improves the precision of constant power control. At the same time,it can reduce the fatigue load of drive chain and structural response of wind turbine,which improves the service life of wind turbine system.
作者
苑晨阳
李静
陈健云
徐强
Yuan Chenyang;Li Jing;Chen Jianyun;Xu Qiang(Faculty of Infrastructure Engineering,Dalian University of Technology,Dalian 116024,China;State Key Laboratory of Coastal and Offshore Engineering,Dalian University of Technology,Dalian 116024,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2019年第10期3002-3008,共7页
Acta Energiae Solaris Sinica
基金
国家自然科学基金（51179026）
地震行业科研专项（201508005）
辽宁省重点实验室基金（LZ2015022）
