• DocumentCode
    234112
  • Title

    Maximum power point tracking using fuzzy logic control for photovoltaic system

  • Author

    Soufi, Youcef ; Bechouat, Mohcene ; Kahla, Sami ; Bouallegue, Kais

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Larbi Tebessi, Tébessa, Algeria
  • fYear
    2014
  • fDate
    19-22 Oct. 2014
  • Firstpage
    902
  • Lastpage
    906
  • Abstract
    In this paper, a fuzzy logic control (FLC) based “Mamdani” is proposed to control the maximum power point tracking (MPPT) for a photovoltaic (PV) system. The proposed technique uses the fuzzy logic control to specify the size of incremental current in the current command of MPPT. As results indicated, the convergence time of maximum power point (MPP) of the proposed algorithm is better than that of the conventional Perturb and Observation (P&O) technique.
  • Keywords
    fuzzy control; maximum power point trackers; perturbation techniques; photovoltaic power systems; power generation control; FLC based Mamdani; MPPT; P&O technique; PV system; Perturb and Observation technique; fuzzy logic control; maximum power point tracking; photovoltaic system; Fuzzy logic; Mathematical model; Maximum power point trackers; Niobium; Photovoltaic systems; Renewable energy sources; FLC; MPPT; P&O; photovoltaic system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable Energy Research and Application (ICRERA), 2014 International Conference on
  • Conference_Location
    Milwaukee, WI
  • Type

    conf

  • DOI
    10.1109/ICRERA.2014.7016515
  • Filename
    7016515
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=234112