基于改进爬山算法的风机最大功率点控制策略研究

Research on Control Strategy of Maximum Power Point Based on Improves Climbing Search Method

爬山搜索法是风力发电最大功率点的跟踪控制策略的主要方法之一。传统的爬山搜索法对于惯量大的风力发电系统,由于时间常数大使转速滞后,导致无法进行正确的搜索控制,因此,提出了改进变步长爬山搜索法,并与基于斜率变步长爬山搜索法做对比,仿真结果表明,改进之后的爬山搜索法对小型风电系统的最大功率点的跟踪有良好的效果,能够避免在风速稳定时的机械振荡和提高风能利用率。

Climbing search method is one of the major methods on maximum power point tracking of wind power system. For the wind power system with large inertia,the traditional climbing search method cannot carry out the correct search control because of the rotating speed lag caused by large time constants. Therefore,an improved variable step climbing search method is proposed,and compared with the climbing search method based on slope. The simulation results indicate that the improved method has a good effect on maximum power point tracking of small wind power system,and it not only increases the utilization of wind energy,but also avoids the mechanical oscillations when wind speed is stable.