采用模糊推理最优梯度法的风力发电系统最大功率点跟踪研究

Research on Maximum Power Point Tracking of Wind Power Generation System Based on Fuzzy Inference Optimal Gradient

在随机风条件下,风力发电系统的输出特性随外界环境的变化而变化,并可能出现明显的振荡现象,采用最大功率点跟踪(maximum power point tracking,MPPT)可充分发挥风力发电机组的效能。根据传统三点比较法应用在风力发电系统中的不足及最大功率点跟踪的基本原理,将模糊推理最优梯度法引入风力发电系统中,以提高风力发电系统的最大功率跟踪性能。该方法通过对风力发电机转速步长进行指数倍调整,能够有效地提高最大功率点的追踪精度,具有良好的收敛性和抗干扰性。通过MATLAB仿真结果表明,该方法具有比传统三点比较法更为精确的追踪性能。

The output power of wind power generation system varies with the random wind,and may lead tracking power to appear oscillation.So it is necessary to track the maximum power point tracking（MPPT） of the wind power generation system all the time.According to the mechanism and traditional three-points comparing algorithm of MPPT,a new power tracking algorithm was proposed to improve the performance under variable conditions via adaptively changing its setting according to the optimal gradient method of fuzzy inference system.Step length is adjusted to times index to effectively improve the maximum power point tracking accuracy,and has the convergence and anti-interference.The simulation results show that proposed algorithm is more accurate than the traditional three-points comparing algorithm.