改进蜂群算法在风机变桨距控制中的应用

Improved Bee Colony Algorithm on the Wind Turbine Pitch Control

风力发电系统建模过程复杂,具有很强的非线性,受参数变化和外部干扰严重,且运行环境恶劣。因此,在控制器部分提出用自抗扰控制理论解决风力发电系统的变桨距控制问题,实现最大功率跟踪。并采用改进人工蜂群算法对自抗扰控制器的参数进行优化,解决其整定过程繁琐,具有很多不确定性的问题。MATLAB的仿真结果表明,优化后的控制器调整参数减少,简化了调节过程,弥补了人工蜂群算法搜索过程寻优速度慢,迭代后期容易陷入局部最优的不足,提高了优化精度。

Modeling of wind power generation system＇ process is complex, and with strong nonlinear, serionsly subjects to parameter variations and external disturbances, and the performing environment is in difficult conditions. So, in the part of controller, proposes ADRC theory to solve the variable propeller pitch control problem of wind power generation system, and to achieve maximum power tracking. Using the improved artificial swarm algorithm for ADRC parameter optimization, solves the complicated turning process, and haves many uncertainty problems. The MATLAB simulation results that, after optimization, the adjusting parameters is reduced. Process of adjusting is simplified. Makes up shortcomings that the artificial bee colony algorithm is slow in the search process searching speed. Deficiency of easily falling into local optimal in iterative is made up, and accuracy of optimization is improved.