优化的变步长MPPT控制策略研究

Optimization of the Variable Step for the MPPT Control Strategy

风力发电最大功率跟踪问题是风电技术的研究重点之一。爬山搜索算法可以为风电系统实时提供最佳搜索步长,使风力机的输出功率最大。针对传统爬山搜索算法抗干扰能力差、对功率跟踪不够准确的问题,提出了一种优化搜索步长的变步长爬山搜索算法,在更加真实地模拟风速模型的基础上进行了仿真实验,结果表明通过对搜索步长进行优化,不仅使输出功率损失最小,而且通过对步长变化的有效调节避免了输出功率的振荡,使系统抗干扰能力提高,验证了所提算法的有效性。

The maximum power tracking of wind power is one of the key researches for wind power technology and hill-climb searching algorithm can provide the wind power system with the best real-time search step,which makes the maximum output power of the wind turbine.Traditional hill-climb searching algorithm has an anti-interference ability with the problem of power inaccurate tracking,therefore,an optimized search step for variable step climbing search algorithm has been proposed.Based on the model who can be more realistic simulate the wind speed on the simulation experiment,the results show that by optimizing the search step,not only the output power losses are minimized,but also the oscillation of output power can be avoided by the effective regulation of step change,making the anti-interference ability of the system improved and verifying the effectiveness of the proposed algorithm.