以半潜浮式风机为研究对象,应用控制系统仿真软件 MATLAB/Simulink 和基于水动力和空气动力耦合的FAST软件进行联合仿真计算.以最小化功率波动和抑制平台运动为控制目标,利用人工蚁群算法来对变桨控制的PID控制器参数进行优化,得到了风浪联合作用下的海上浮式风机变桨距 ACO-PID 控制器,并将其与基线 PI 控制器在功率输出、转子转速、叶片桨距角和平台纵摇角参数方面进行了对比分析.结果显示,ACO-PID 控制器较好的抑制了功率的波动和平台的纵摇运动,并一定程度的降低了风机主要部位的疲劳载荷,提高了风机结构的安全性,增加了风电机组的使用寿命.
Optimization of Blade Pitch Control Strategy for Semi-submersible Offshore Wind Turbine
Taking semi-submersible floating wind turbine as the research object,the control system simulation software MATLAB/Simulink and the FAST software based on hydrodynamic and aerodynamic coupling are applied to carry out joint simulation calculation.Taking power output fluctuation minimization and restraining platform motions as the control goals,the artificial ant colony optimization(ACO)is used to optimize the PID controller parameters of variable pitch control,and the ACO-PID controller for variable pitch of floating wind turbine under the combined action of wind and wave is obtained.The ACO-PID controller is compared with the baseline PI controller in terms of power output,rotor speed,blade pitch angle and platform pitch angle.The results show that the ACO-PID controller can better suppress power fluctuations and platform pitch motion,reduce the fatigue load of main parts of the turbine to a certain extent,and improve the structure safety and the service life of wind turbine.
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