• DocumentCode
    3577503
  • Title

    Maximum power point tracking using dual PI fuzzy controller for photovoltaic system

  • Author

    Derri, Mounir ; Bouzi, Mostafa ; Lagrat, Ismail ; Baba, Youssef

  • Author_Institution
    Lab. of Mech. Eng., Ind. Manage. & Innovation, Hassan Univ., Settat, Morocco
  • fYear
    2014
  • Firstpage
    152
  • Lastpage
    156
  • Abstract
    In this paper we propose an intelligent control method to track the maximum power point (MPP) of a standalone photovoltaic system. The output power of a photovoltaic panel depends on solar irradiation and temperature. So it is important to operate the photovoltaic (PV) panel in its maximum power point. Our system is composed of a PV panel which supplies a DC load, a DC-DC converter, considered as an adaptation stage between the PV and the DC load. The idea of the proposed technique is to use dual PI fuzzy controller to generate a suitable duty cycle for the DC-DC converter. The simulation result shows the effectiveness of the system and the good performance of the proposed method.
  • Keywords
    PI control; fuzzy control; intelligent control; maximum power point trackers; photovoltaic power systems; power generation control; DC load; DC-DC converter; dual PI fuzzy controller; intelligent control; maximum power point tracking; photovoltaic panel; solar irradiation; solar temperature; standalone photovoltaic system; Niobium; DC-DC converter; Fuzzy logic; MPP; Matlab/Simulink; Photovoltaic system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable and Sustainable Energy Conference (IRSEC), 2014 International
  • Print_ISBN
    978-1-4799-7335-4
  • Type

    conf

  • DOI
    10.1109/IRSEC.2014.7059905
  • Filename
    7059905