基于改进CS算法的光伏系统MPPT仿真研究

Simulation of photovoltaic system MPPT based on improved CS algorithm

传统光伏发电最大功率跟踪(MPPT)中存在跟踪效率低、稳定性较差的缺点,针对上述缺点提出了一种基于改进布谷鸟算法(CS)的光伏发电系统最大功率点跟踪算法。改进算法去除了传统CS在计算电压方程中的随机数,并分析了最大功率点的追踪过程。并在MATLAB/Simulink环境下搭建模型进行仿真分析,发现在部分遮蔽条件下,可以有效提高对最大功率点的追踪速度与精度,并保持优异的稳定性;MPPT结构较为简单。同时,在与传统的扰动观察法以及粒子群算法作对比下,也展现出了快速跟踪性与有效性。

Traditional MPPT has the disadvantages of low tracking efficiency and poor stability. This paper proposes a maximum power point tracking algorithm for photovoltaic power generation systems based on the improved cuckoo algorithm(CS). The improved algorithm removes the random number of traditional CS in calculating the voltage equation, and analyzes the tracking process at the maximum power point. And built a model in MATLAB/Simulink environment for simulation analysis, and found that under partial occlusion conditions, the tracking speed and accuracy of the maximum power point can be effectively improved, and excellent stability is maintained;the MPPT structure is relatively simple. At the same time, compared with the traditional disturbance observation method and particle swarm algorithm, it also shows fast tracking and effectiveness.