基于人工鱼群算法的光伏阵列多峰MPPT控制策略

MPPT of PV array control strategy based onartificial fish school algorithm

光伏系统在复杂应用环境下输出特性具有时变非线性、多功率极值和量测噪声的特点。人工鱼群算法具有良好的克服局部极值、获得全局最优值的能力,非常适合解决非线性多极值函数寻优问题。分析了复杂应用环境下光伏阵列输出特性,将最小二乘滤波与人工鱼群算法结合,应用于复杂应用环境下光伏最大功率点跟踪控制,削弱复杂应用环境影响,提高跟踪精度,最后通过仿真与实验验证该跟踪策略的有效性。

The PV array is characterized by multiple maximumpoints, measurement noise and time-varying nonlinear under the complex environments. Artificial fish school algorithm （AFSA） has the ability of overcoming local minimum pointsand obtainingthe global best,it＇ s very suitable for solving the optimization problem of nonlinear and multi-extremum functions. In this paper, the PV arrayoutput characteristics under complex environments has been analyzed, a kind of maximum power point tracking （MPPT） strategy based on AFSAcombined withrecursive least squares filtering has been proposed to overcome themeasurement noise effects and improve the tracking accuracy. Simulation results show that the proposed MPPT strategy can suppress the influence of measurement noise effectivelywhichverifies the effectiveness ofthe proposed MPPT strategy.