• DocumentCode
    3118182
  • Title

    A fuzzy control maximum power point tracking photovoltaic system

  • Author

    Purnama, Irwan ; Lo, Yu-Kang ; Chiu, Huang-Jen

  • Author_Institution
    Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    2432
  • Lastpage
    2439
  • Abstract
    Conventional maximum power point tracking (MPPT) method, e.g. perturbation and observation (P&O) and incremental conductance (INC), have the drawbacks such as oscillation at the MPP during power fast tracking and power divergence under rapidly changing atmospheric condition. Thus, a fuzzy logic controller (FLC) is implemented in the PV system to avoid the conventional problem. FLC method has not only fast response under rapidly changing atmospheric conditions but also small oscillation at the maximum power point (MPP). However, FLC presents tuning difficulty of membership function, scaling factor and control rules. The FLC disadvantages can be reduced using single-fuzzy logic controller (S-FLC) without degrading its performance. The experiment results are shown to verify the studied S-FLC MPPT method.
  • Keywords
    fuzzy control; maximum power point trackers; photovoltaic power systems; MPPT; PV system; fuzzy control maximum power point tracking photovoltaic system; fuzzy logic controller; membership function; single-fuzzy logic controller; Input variables; Mathematical model; Oscillators; Renewable energy resources; Schottky diodes; Stress; Switches; Maximum Power Point Tracking; Photovoltaic Module; Single-Fuzzy Logic Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007399
  • Filename
    6007399