• DocumentCode
    3732516
  • Title

    ANFIS-based maximum power point tracking control of PV modules with DC-DC converters

  • Author

    Yuan-Ting Chu;Li-Qiang Yuan;Hsin-Han Chiang

  • Author_Institution
    Department of Electrical Engineering Fu Jen Catholic University, New Taipei City, Taiwan
  • fYear
    2015
  • Firstpage
    692
  • Lastpage
    697
  • Abstract
    This paper proposes an adaptive neural-fuzzy inference system (ANFIS) based maximum power point tracking (MPPT) system for a photovoltaic (PV) power generating system in standalone operation. To extract the maximum power, the DC-DC buck/boost converter is connected between the PV module and the load. The proposed ANFIS-based MPPT controller performs the fast dynamic response with high accuracy. With the test under varying load conditions, experimental results are provided to validate our approach.
  • Keywords
    "Voltage control","Maximum power point trackers","Decision support systems","DC-DC power converters","Photovoltaic systems","Equivalent circuits"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2015 18th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICEMS.2015.7385123
  • Filename
    7385123
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3732516