• DocumentCode
    3768909
  • Title

    Robust tracking with fuzzy sliding mod control strategy for grid connected photovoltaic system

  • Author

    L. Zaghba;M. Khennane;A. Borni;A. Bouchakour;A. Fezzani;I. Hadj Mahamed;S. H. Oudjana;N. Terki

  • Author_Institution
    Unit? de Recherche Appliqu?e en Energies Renouvelables, URAER, Centre de D?veloppement des Energies Renouvelables, CDER, 47133, Gharda?a, Alegria
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper deals a grid-connected photovoltaic (PV) system that is composed of a PV array, boost converter with Robust Tracking Fuzzy sliding mode MPPT control strategy, and inverter coupled to grid. The MPPT control was performed using a hybrid control between the sliding mode control known for its simplicity and its position vis-à-vis robustness interference and control by fuzzy logic known by its fast response time and ease of implementation, in order to develop a MPPT controller that combines the performance of both commands. The proposed system with Fuzzy sliding mode MPPR control is tested using MATLAB/SIMULINK platform in which maximum power energy is tracked under constant and varying solar irradiance in to grid with a unity power factor. It can be concluded that the proposed method can quickly track the maximum power point of photovoltaic arrays, and also decrease the maximum power point oscillation energy loss. Therefore, the energy transmission efficiency of PV system power generation system is enhanced.
  • Keywords
    "Mathematical model","Niobium","Photovoltaic systems","Voltage control","Robustness","Inverters","Fuzzy logic"
  • Publisher
    ieee
  • Conference_Titel
    Renewable and Sustainable Energy Conference (IRSEC), 2015 3rd International
  • Electronic_ISBN
    2380-7393
  • Type

    conf

  • DOI
    10.1109/IRSEC.2015.7455022
  • Filename
    7455022