• DocumentCode
    1617151
  • Title

    MPPT techniques for PV systems

  • Author

    Beriber, Dalila ; Talha, Abdelaziz

  • Author_Institution
    LINS Lab., Univ. of Sci. & Technol. Houari Boumediene, Allergies, Algeria
  • fYear
    2013
  • Firstpage
    1437
  • Lastpage
    1442
  • Abstract
    This paper propose a detailed comparative survey of four maximum power tracking techniques: Perturb and Observe (P&O), Incremental Conductance (InC), fuzzy logic based tracking technique and a, less known, method using only the photovoltaic current measurement. The drawback of the three studied methods; P&O, InC and one sensor algorithm, is that at steady state the operating point oscillate around the maximum power point, giving rise to the waste of the output panel´s available energy. Simulation results show that the proposed fuzzy logic controller (FLC) can provides faster and stable tracking maximum power as compared to the other studied methods.
  • Keywords
    DC-DC power convertors; fuzzy control; maximum power point trackers; perturbation techniques; photovoltaic power systems; power generation control; DC-DC converter; FLC; InC tracking technique; MPPT techniques; P&O tracking technique; PV systems; fuzzy logic based tracking technique; fuzzy logic controller; incremental conductance tracking technique; maximum power tracking techniques; perturb and observe tracking technique; photovoltaic current measurement; sensor algorithm; Arrays; Batteries; Fuzzy logic; Maximum power point trackers; Photovoltaic cells; Power engineering; Steady-state; Buck-Boost; Fuzzy logic controller; Grid; MPPT; NPC-VSI; Perturb and Observe;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    2155-5516
  • Type

    conf

  • DOI
    10.1109/PowerEng.2013.6635826
  • Filename
    6635826