• DocumentCode
    581484
  • Title

    Modified MPPT with using model predictive control for multilevel boost converter

  • Author

    Mosa, Mostafa ; Abu Rub, Haitham ; Ahmed, Mahrous E. ; Rodriguez, Jose

  • Author_Institution
    Dept. of Electr. & machine Eng., Texas A&M Univ. at Qatar, Doha, Qatar
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    5080
  • Lastpage
    5085
  • Abstract
    This paper proposes a modification in the maximum power point tracking (MPPT) by using model predictive control (MPC). The modification scheme of the MPPT control is based on the perturb and observe algorithm (P&O). This modified control is implemented on the dc-dc multilevel boost converter (MLBC) to increase the response of the controller to extract the maximum power from the photovoltaic (PV) module and to boost a small dc voltage of it. The total system consisting of a PV model, a MLBC and the modified MPPT has been analyzed and then simulated with changing the solar radiation and the temperature. The proposed control scheme is implemented under program MATLAB/SIMULINK and the obtained results are validated with real time simulation using dSPACE 1103 ControlDesk. The real time simulation results have been provided for principle validation.
  • Keywords
    maximum power point trackers; perturbation techniques; photovoltaic power systems; predictive control; solar radiation; DC-DC converter; MLBC; MPPT; Matlab; PV model; Simulink; dSPACE 1103 ControlDesk; maximum power point tracking; model predictive control; multilevel boost converter; perturb and observe algorithm; photovoltaic module; solar radiation; Batteries; Inductors; Switches; Maximum power point tracking (MPPT); Model predictive control (MPC); Multilevel Boost Converter (MLBC); Perturb and Observe algorithm (P&O);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6389559
  • Filename
    6389559