• DocumentCode
    3101708
  • Title

    Hybrid behaviors analysis of photovoltaic array performance

  • Author

    Xu, Qing-shan ; Lai, Loi Lei ; Tse, Norman ; Ichiyanagi, Katsuhiro

  • Author_Institution
    Electr. Eng. Sch., Southeast Univ., Nanjing, China
  • Volume
    6
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    3448
  • Lastpage
    3456
  • Abstract
    Photovoltaic cells would operate as a load when local solar irradiation declines in series connection, which would result in damage easily. Nowadays modules are often configured with bypass diodes to provide energy releasing route. Furthermore, blocking diode is connected in series before parallel connection in order to prevent inverse power injection. Based on such configurations, this paper was mainly devoted to present a simplified method for characterizing hybrid photovoltaic performance. Newton-Raphson method was adopted for numerical simulations. It was proven to be suitable and effective in model validation coinciding with manufacturer specification. Furthermore, MPP peak positions were reviewed roundly via simulations of the total characteristic curves, especially the operation mismatches caused by random shadows. Different abilities under diverse series/parallel patterns were also investigated for comparison. Researches indicate that: firstly, traditional monotone algorithms of MPPT could be invalid for detecting false maximum only; secondly, the ldquodoorsill effectrdquo of local irradiation intensities, namely that global power output might not be influenced by changes of local shadows; finally, suggestions are put forward that parallel connection should be ranked prior consideration with whole array design, to boost power output relatively.
  • Keywords
    Newton-Raphson method; photovoltaic cells; Newton-Raphson method; bypass diodes; doorsill effect; hybrid behaviors analysis; inverse power injection; photovoltaic array performance; photovoltaic cells; solar irradiation; Aging; Cybernetics; Diodes; Machine learning; Numerical simulation; Performance analysis; Photovoltaic cells; Photovoltaic systems; Power generation; Solar power generation; Intelligent; Mismatching loss; Numerical simulation; Performance evaluation; Photovoltaic module;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212745
  • Filename
    5212745