基于改进蚁群算法的风力发电机组独立变桨自动控制方法

Automatic Control Method of Independent Variable Paddle of Wind Turbine Based on Improved Ant Colony Algorithm

传统的变桨控制方法无法较好地应对复杂多变的风电环境,为此,提出并设计了一种基于改进蚁群算法的风力发电机组独立变桨自动控制方法。首先,基于改进蚁群算法建立发电机执行变桨模型,选择改进蚁群算法的自适应调节策略,以提升局部搜索能力;其次,计算风力发电机组的荷载,按照某种规则调整每片叶根处的桨距角,以降低叶根处的不均衡负荷;最后,叠加独立变桨期望的桨距角和统一变桨给定的桨距角,以自动控制风力发电机组独立变桨。结果表明,基于改进蚁群算法的风力发电机组独立变桨自动控制方法在控制有效风速方面与最优风能利用率对应的有效风速波动趋于一致,与传统方法相比,前者方法能有效抑制风轮有效风速的波动。

The traditional variable paddle control method can not better cope with the complex and changeable wind power environment.Therefore,an independent variable paddle automatic control method of wind turbine based on the improved ant colony algorithm is proposed and designed.First of all,the generator pitch model is established based on the improved ant colony algorithm,and the adaptive adjustment strategy of the improved ant colony algorithm is selected to enhance the local search ability.Secondly,calculate the load of wind turbine,according to some rules of each blade pitch angle,thus reduce the uneven load.Finally,the independent blade desired pitch angle and unified pitch a given pitch angle superposition,realize automatic control of wind turbine independent pitch.The results show that the independent paddle automatic control method of wind turbine based on the improved ant colony algorithm is consistent with the effective wind speed fluctuation corresponding to the optimal wind energy utilization rate in terms of controlling the effective wind speed.Compared with the traditional method,the former method can effectively restrain the fluctuation of the effective wind speed of the wind wheel.