• DocumentCode
    2337307
  • Title

    Maximum power point tracking technique implementation of Z-source inverter through finite step model predictive control strategy

  • Author

    Wei, Mo ; Loh, Andrew Poh Chiang ; Frede, B.

  • Author_Institution
    Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2012
  • fDate
    18-20 July 2012
  • Firstpage
    1523
  • Lastpage
    1528
  • Abstract
    This paper presents techniques of maximum power point tracking (MPPT) implemented with finite step model predictive control (FSMPC) for the application of Z-source inverter. Incremental conductance MPPT algorithm and FSMPC model is developed to control the output current of the grid-tied Z-source inverter in order to extract maximum solar power from the panel and then directly injecting the power into grid. The output current, passive component voltage and current are well regulated with proposed MPPT based FSMPC control strategy. Simulation of this proposed control algorithm is conducted in Matlab platform with PLECS toolbox. Both steady-state and transient results show that the high efficient and robust response of the proposed control technique.
  • Keywords
    electric current control; invertors; maximum power point trackers; photovoltaic power systems; power grids; predictive control; solar power; voltage control; MPPT-based FSMPC control strategy; Matlab platform; PLECS toolbox; finite step model predictive control; grid-tied Z-source inverter; incremental conductance MPPT algorithm; maximum power point tracking technique; maximum solar power extraction; output current control; passive component current; passive component voltage; power grid; Equations; Inverters; Mathematical model; Resistance; Temperature; Voltage control; FSMPC; MPPT; Z-source inverter; grid-tied;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-2118-2
  • Type

    conf

  • DOI
    10.1109/ICIEA.2012.6360965
  • Filename
    6360965