采用自适应扰动观察法的光伏并网系统最大功率点跟踪  

Maximum Power Point Tracking Using Adaptive Perturbation and Observation Algorithm for Grid-connected Photovoltaic System

作　　者：谢维 饶国勇[2] 蔡建羨 李立新 陈逊 Xie Wei;Rao Guoyong;Cai Jianxian;Li Lixin;Chen Xun(School of Electronic Science and Control Engineering, Institute of Disaster Prevention, Sanhe065201, China;Jingdezhen University,Jingdezhen333000,China)

机构地区：[1]防灾科技学院电子科学与控制工程学院,河北三河065201 [2]景德镇学院,江西景德镇333000

出　　处：《计算机测量与控制》2019年第5期207-211,共5页Computer Measurement &Control

摘　　要：提出了一种自适应扰动观察(P&O)算法,用于在不同天气条件下太阳能光伏(PV)并网系统的最大功率点跟踪(MPPT)控制策略;该策略对于从太阳能光伏电池板中,获取最大的功率输出是十分重要的;利用一种依赖于功率变化的可变的扰动步长,提出了改进的自适应扰动观察算法;最后将通过仿真所得到的数据与传统的扰动观察算法进行了比较,结果表明所提出MPPT算法的收敛值和速度得到了改善,稳定时间缩短25%,稳态值提高20%以上,在太阳能光伏并网系统的最大功率点跟踪时是有效而实用的。This paper proposes an adaptive perturbation and observation(P&O)algorithm for maximum power point tracking(MPPT)control strategy of a grid-connected solar photovoltaic(PV)system under varying atmospheric conditions.This strategy is important in order to extract maximum power output from a solar PV panel.The adaptive P&O algorithm is proposed to utilize a variable perturbation step size which depends on power changes.The obtained simulation results are compared with those using the conventional P&O algorithm,which show the convergence value and speed of the proposed MPPT algorithm are improved.The steady time is shortened by 25%,and the steady-state value is increased by more than 20%.So the proposed algorithm is effective and practical in the MPPT of a grid-connected solar PV system.

关 键 词：最大功率点跟踪 扰动观察算法 太阳能光伏并网系统 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]