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  • 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
  • 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.
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