文章基本信息

标题：Self-learning Maximum Power Point Tracking with Environmental Adaptation for Photovoltaic Power Systems
本地全文：下载
作者：Xinming Song ; Congzhen Xie ; Yunfeng Xia 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：170
期号：4
页码：042097
DOI：10.1088/1755-1315/170/4/042097
语种：English
出版社：IOP Publishing
摘要：A novel self-learning method is proposed for maximum power point tracking (MPPT) in photovoltaic (PV) system. A simple control circuit is designed to make its implementation effective, in which the super capacitor is used to charge and discharge to achieve fast control. Furthermore, the proposed method is implemented with hardware experiments and MATLAB/Simulink for simulations. The experimental results verify the feasibility of this method for MPPT, while simulations in MATLAB/Simulink indicate that the proposed PV system can react quickly within milliseconds under enormous changes of atmospheric conditions.