• DocumentCode
    978301
  • Title

    Predictive & Adaptive MPPT Perturb and Observe Method

  • Author

    Fermia, N. ; Granozio, D. ; Petrone, Giovanni ; Vitelli, M.

  • Author_Institution
    Univ. of Salerno, Salerno
  • Volume
    43
  • Issue
    3
  • fYear
    2007
  • fDate
    7/1/2007 12:00:00 AM
  • Firstpage
    934
  • Lastpage
    950
  • Abstract
    The perturb and observe (P&O) best operation conditions are investigated in order to identify the edge efficiency performances of this most popular maximum power point tracking (MPPT) technique for photovoltaic (PV) applications. It is shown that P&O may guarantee top-level efficiency, provided that a proper predictive (by means of a parabolic interpolation of the last three operating points) and adaptive (based on the measure of the actual power) hill climbing strategy is adopted. The approach proposed is aimed at realizing, in addition to absolute best tracking performances, high robustness and promptness both in sunny and cloudy weather conditions. The power gain with respect to standard P&O technique is proved by means of simulation results and experimental measurements performed on a low power system. Besides the performance improvements, it is shown that the proposed approach allows possible reduction of hardware costs of analog-to-digital (A/D) converters used in the MPPT control circuitry.
  • Keywords
    perturbation techniques; photovoltaic cells; power system control; solar cells; adaptive hill climbing strategy; analog-to-digital converter; control circuit; edge efficiency; maximum power point tracking; parabolic interpolation; perturb-and-observe best operation condition; photovoltaic application; Circuit simulation; Gain measurement; Interpolation; Measurement standards; Performance gain; Photovoltaic systems; Power measurement; Power system simulation; Robustness; Solar power generation;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.2007.4383584
  • Filename
    4383584