改进粒子群算法结合扰动观察法的光伏MPPT控制  

The PV MPPT Control Based on PSO Algorithm Improved and P&O Method

作　　者：王金玉[1] 郭瑞 李佳慧[1] WANC Jin-yu;CUO Rui;Ll Jia-hui(Schooil of Electric al ard Irforration Engineering.Northeast Petroleun University)

机构地区：[1]东北石油大学电气信息工程学院

出　　处：《化工自动化及仪表》2025年第2期301-306,共6页Control and Instruments in Chemical Industry

基　　金：国家自然科学基金青年科学基金(批准号:62203106)资助的课题。

摘　　要：提出一种基于改进粒子群(PSO)算法和扰动观察法(P&O)的复合算法。建立了光伏电池数学模型,给出了其输出特性。在MATLAB/Simulink环境下进行仿真分析,结果表明:改进PSO-P&O算法提升了系统的搜索速度与精度,在静态阴影和动态阴影下均可以对MPP进行追踪,提升系统的光伏利用率,减少系统的能量损耗与振荡。In this paper,a composite algorithm based on both improved PSO algorithm and perturbation-observation method(P&O)method was proposed,including establishing a mathematical model for photovoltaic cells and giving out its output characteristics.Simulation analysis in the MATLAB/Simulink environment shows that,the improved PSO-P&O algorithm can improve both search speed and accuracy of the system and track the MPP in both static shadow and dynamic shadow,including improving the system’s photovoltaic utilization rate and reducing its energy loss and oscillation.

关 键 词：改进粒子群算法 扰动观察法 光伏电池模型 最大功率点追踪 MATLAB/SIMULINK 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TM35[自动化与计算机技术—控制科学与工程]