• DocumentCode
    3680120
  • Title

    A data-driven approach to the design of photovoltaic maximum power point tracking techniques using field transient data

  • Author

    Shibin Qin;Rodrigo Serna;Robert C.N. Pilawa-Podgurski

  • Author_Institution
    Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
  • fYear
    2015
  • Firstpage
    6629
  • Lastpage
    6634
  • Abstract
    Conventional approaches for photovoltaic maximum power point tracking (PV MPPT) design based on rule-of-thumb assumptions might not result in the optimal performance in the field. To improve the field performance of practical MPPT designs, this paper proposes a comprehensive approach to MPPT design driven by experimentally measured field data. The data on the dynamic behavior of PV panel I-V characteristics has been collected over a long period at a significantly higher rate than previously reported in the literature. This paper presents the measurement setup, the collected data and most importantly its design applications. The P&O method has been taken as an example to illustrate how this data can be applied to optimize a practical MPPT design in terms of tracking speed and efficiency.
  • Keywords
    "Accuracy","Current measurement","Transient analysis","Maximum power point trackers","Voltage measurement","Data models","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2015 IEEE
  • ISSN
    2329-3721
  • Electronic_ISBN
    2329-3748
  • Type

    conf

  • DOI
    10.1109/ECCE.2015.7310587
  • Filename
    7310587