• DocumentCode
    3566232
  • Title

    Model predictive control for asymmetrical cascaded H-Bridge multilevel grid-connected inverter with flying capacitor

  • Author

    Jingang Han ; Tengfei Yang ; Dongkai Peng ; Tianzhen Wang ; Gang Yao

  • Author_Institution
    Dept. of Electr. Eng. & Autom., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2014
  • Firstpage
    1611
  • Lastpage
    1616
  • Abstract
    The main advantages of multilevel inverters are the improved power quality and higher efficiency. Cascaded H-Bridge (CHB) multilevel inverters are widely used in photovoltaic grid-connected generators, electric vehicles and motor drive systems. However, the CHB multilevel inverters require a large number of isolated dc power supplies, which make these inverters complicated to implement in industrial applications. This paper presents a model predictive control method to improve the mentioned drawbacks of CHB inverters by using a flying capacitor to replace a dc power supply. Simulation and experimental results of a seven-level asymmetrical CHB grid-connected inverter show that one can simultaneously maintain the inverters output voltage level and can also keep the flying capacitors voltage balance.
  • Keywords
    electric vehicles; invertors; motor drives; photovoltaic power systems; power capacitors; power generation control; power grids; power supply quality; predictive control; asymmetrical cascaded H-bridge inverters; electric vehicles; flying capacitor; isolated dc power supply; model predictive control; motor drive systems; multilevel grid-connected inverter; photovoltaic grid-connected generators; power quality; Capacitors; Equations; Inverters; Mathematical model; Power supplies; Switches; Voltage control; asymmetrical multilevel inverter; cascaded H-Bridge; flying capacitor; grid-connected inverter; model predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE
  • Type

    conf

  • DOI
    10.1109/IECON.2014.7048718
  • Filename
    7048718