局部阴影下光伏阵列最大功率点跟踪算法的研究  

Maximum power point tracking algorithm for photovoltaic arrays under local shadow

作　　者：刘晨 黄翼虎[1] LIU Chen;HUANG Yihu(College of Automation and Electronic Engineering,Qingdao University of Science and Technology,Qingdao 266061,China)

机构地区：[1]青岛科技大学自动化与电子工程学院,山东青岛266061

出　　处：《山东科学》2023年第5期44-51,共8页Shandong Science

基　　金：国家自然科学基金(61340038)。

摘　　要：传统的最大功率点跟踪(MPPT)算法在光伏阵列多峰情况下容易陷入局部最优,蝴蝶优化算法有全局优化能力,但由于收敛精度较低而没有被广泛使用。提出了一种改进蝴蝶优化算法与扰动观察法相结合的MPPT算法,引入混沌映射理论和动态切换概率改进蝴蝶优化算法。先通过蝴蝶优化算法的全局搜索能力定位最大功率点范围,后切换小步长扰动观察法精准定位最大功率点。混合算法结合了蝴蝶优化算法和扰动观察法的优点,通过Simulink仿真实验,与传统蝴蝶优化算法、粒子群算法作对比,改进后的算法能够适应复杂多变的光照环境,且在收敛精度和速度方面均有一定优势。The traditional maximum power point tracking(MPPT)algorithm is prone to fall into local optimization in the case of a multipeak photovoltaic array.The butterfly optimization algorithm has a strong global search capability and a relatively stable convergence process;however,it has not been widely used due to its low convergence accuracy.This paper proposes an MPPT algorithm that combines the improved butterfly optimization algorithm with the perturbation and observation method.The traditional butterfly optimization algorithm was optimized by introducing the chaotic mapping theory to improve the distribution of the initial butterfly population.Besides,the dynamic switching probability was used to optimize the switching strategy.Herein,first,the global search capability of the butterfly optimization algorithm was used to locate the range of the maximum power point,and then the small step size perturbation and disturbance observation method were used to accurately locate the maximum power point.This algorithm combines the advantages of the global optimization of the butterfly optimization algorithm and the precise optimization of the perturbation and observation method.Furthermore,Simulink simulation experiments were conducted,and the results were compared with the traditional butterfly optimization algorithm and particle swarm optimization algorithm.The results show that the improved algorithm can adapt to complex and changing light conditions and has certain advantages in both convergence accuracy and speed.

关 键 词：光伏发电 最大功率点跟踪 蝴蝶优化算法 扰动观察法 混沌映射 

分 类 号：TM615[电气工程—电力系统及自动化]