基于改进PSO算法的光伏阵列MPPT研究

Research on MPPT of Photovoltaic Array Based on Improved PSO Algorithm

由于光伏组件的P-V特性是单峰非线性曲线,由它组成的光伏阵列的发电功率易受温度、光照强度等外界环境因素的影响,导致实际工程中光伏发电效率大大降低,因此追踪最大功率点(Maximum Power Point Tracking,MPPT)使光伏发电系统的发电功率一直处于最大功率点,对提高系统整体的发电效率有着十分重要的意义。引用进化差分算法对传统的粒子群算法(PSO)的寻优过程进行差分进化选择,并将非线性策略与改进后的PSO算法相结合。通过仿真计算分析,改进后的PSO算法相较于传统的PSO算法能够更快速、更准确地找到部分阴影情况下的最大功率点,进而提升了光伏系统的发电效率。

Since the P-V characteristics of photovoltaic modules are single-peak nonlinear curves,the power generation power of the photovoltaic array composed of it is very susceptible to external environmental factors such as temperature and light intensity,which in turn leads to a significant reduction in the efficiency of photovoltaic power generation in actual projects.Therefore,tracking the maximum power point(MPPT)to keep the generation power of the photovoltaic power generation system at the maximum power point is of great significance to improve the overall generation efficiency of the system.The evolutionary differential algorithm is used to perform differential evolutionary selection for the optimization process of traditional particle swarm optimization(PSO),and the nonlinear strategy is combined with the improved PSO algorithm.Through simulation calculation and analysis,the improved PSO algorithm can find the maximum power point in partial shadow more quickly and accurately than the traditional PSO algorithm,thereby improving the power generation efficiency of the photovoltaic system.