基于DSP的改进PSO光伏阵列MPPT控制应用

Photovoltaic Array MPPT System Based on DSP Under Partial Shadow

为了解决光伏(PV)系统在局部阴影条件下(PSC)的最大功率点跟踪问题,提出了一种基于改进粒子群算法(PSO)的快速最大功率点跟踪(MPPT)方法。与传统基于PSO的MPPT系统不同的是,采用了基于转换器电流动态行为的变量抽样时间策略(VSTS),并且为了更快速的实现最大功率点跟踪,引入3个重要因数,即:粒子数、收敛速度以及抽样时间。采用DSP平台对提出系统进行了具体实现和性能评估,实验结果显示相比其他类似系统,在不同条件(包括PSC)下,提出算法均能够实现速度跟踪且精确度较高。

In order to solve the problem of maximum power point tracking of photovoltaic(PV)system under part local shading condition(PSC),a fast maximum power point tracking(MPPT)method based on Improved Particle Swarm Optimization(PSO)algorithm is proposed.With the difference of the traditional MPPT system on PSO,the time variable sampling strategy based on dynamic behavior of the converter current(VSTS)is applied,and in order to achieve maximum power point tracking more quickly,the introduction of three important factors are drawn,namely:the number of particles,the convergence speed and the sampling time.Using the DSP platform for the implementation and performance evaluation of the proposed system,experimental results show that compared it with other similar systems in different conditions(including PSC),this algorithm can achieve higher accuracy and tracking speed.