遮光条件下基于IPSO-FLC的光伏MPPT控制  

Photovoltaic MPPT control based on IPSO-FLC under shading conditions

作　　者：樊立萍 姚凌颖 FAN Liping;YAO Lingying(College of Information Engineering,Shenyang University of Chemical Technology,Shenyang 110142,China;Key Laboratory of Industrial Environment‐Resource Collaborative Control and Optimization Technologies of Liaoning Universities,Shenyang 110142,China)

机构地区：[1]沈阳化工大学信息工程学院,辽宁沈阳110142 [2]工业环境‐资源协同控制与优化技术辽宁省高校重点实验室,辽宁沈阳110142

出　　处：《现代电子技术》2024年第22期77-82,共6页Modern Electronics Technique

基　　金：辽宁省教育厅重点攻关项目(LJKZZ20220057);国家外专项目(国科发专[2021]49)。

摘　　要：光伏阵列在部分遮光条件下的P-U特性曲线会呈现多峰问题,致使跟踪算法变得更加复杂,而传统的MPPT算法可能会陷入局部最大功率点,导致对全局最大功率点的跟踪无法实现。为此,提出一种改进粒子群算法优化模糊控制器,来实现遮光条件下的光伏阵列最大功率点跟踪。在Matlab/Simulink环境下,对光伏系统和所提出的MPPT算法进行仿真,同时与扰动观测法等传统MPPT算法进行比较。仿真结果表明,所提方法能够有效地跟踪光伏阵列的最大功率点,并且具有较快的响应速度。The multi peak problem of the P-U characteristic curve of photovoltaic arrays under partial shading conditions cause the tracking algorithm become more complex,and traditional MPPT(maximum power point tracking) algorithms may get stuck in local maximum power points,resulting in the inability to track the global maximum power.On this basis,an improved particle swarm optimization algorithm is proposed to optimize the fuzzy controller for MPPT of photovoltaic arrays under shading conditions.The photovoltaic system and the proposed MPPT algorithm were simulated in the Matlab/Simulink environment,and compared with traditional MPPT algorithms such as disturbance observation method.The simulation results show that the proposed method can effectively track the maximum power point of the photovoltaic array and has a fast response speed.

关 键 词：光伏阵列 MPPT 部分遮光 模糊控制器 改进粒子群算法 扰动观测法 

分 类 号：TN206-34[电子电信—物理电子学] TP27[自动化与计算机技术—检测技术与自动化装置]