• DocumentCode
    1778284
  • Title

    A novel model predictive control for high gain switched inductor power conditioning system for photovoltaic applications

  • Author

    Abdel-Rahim, Omar ; Funato, Hirohito

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Utsunomiya Univ., Utsunomiya, Japan
  • fYear
    2014
  • fDate
    20-23 May 2014
  • Firstpage
    170
  • Lastpage
    174
  • Abstract
    This paper proposes Model Predictive Control (MPC) for single-phase grid connected inverter for PV applications. The proposed single-phase inverter is a five-switch inverter. The inverter is controlled to inject sinusoidal current into the grid. MPC provides control of the amplitude and frequency of the injected current. Five-switch inverter consists of an h-bridge inverter and extra switch is added. The added switch enables reduction the switching losses and voltage stresses of the h-bridge inverter switches. The proposed system has some inherent features such as high gain, reduced switching losses and reduced switches voltage stresses. Detailed analysis of the principle of operation and simulation results will be discussed in details.
  • Keywords
    frequency control; invertors; losses; photovoltaic power systems; power grids; power inductors; predictive control; MPC; five-switch inverter; h-bridge inverter switches; high gain switched inductor power conditioning system; inject sinusoidal current; injected current amplitude control; injected current frequency control; model predictive control; photovoltaic applications; single-phase grid connected inverter; switching losses reduction; voltage stresses reduction; Asia; Equations; Inductors; Inverters; Mathematical model; Predictive control; Switches; Model Predictive Control; PV applications; single-phase;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2014 IEEE
  • Conference_Location
    Kuala Lumpur
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2014.6873784
  • Filename
    6873784