• DocumentCode
    2057221
  • Title

    A stochastic optimal approach for fundamental frequency modulated modular multilevel converter

  • Author

    Ke Shen ; Chuang Liu ; Jianze Wang ; Xingguo Cai ; Yanchao Ji

  • Author_Institution
    Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a fundamental switching frequency strategy for modular multilevel converter (MMC) with PSO based stochastic optimal approach. In case of the number of sub-modules at the upper or lower arm of MMC is not even, a reasonable multilevel modulation mechanism is designed, which is also suitable for non-traditional 2N+1 level modulation application. To calculate switching angle adopted in the modulation method, an appropriate objective function is established; the initial value of the Newton iteration method is investigated by using the stochastic optimization of PSO. Theoretical results are verified by simulations for a 19-level modular multilevel inverter. The effectiveness of proposed control strategy is verified by simulative results.
  • Keywords
    Newton method; electric current control; particle swarm optimisation; switching convertors; Newton iteration method; PSO; control strategy; fundamental frequency modulated modular multilevel converter; fundamental switching frequency strategy; nontraditional 2N+1 level modulation; particle swarm optimization; stochastic optimization; switching angle; Capacitors; Equations; Harmonic analysis; Mathematical model; Modulation; Switches; Switching frequency; Modular multilevel inverter; fundamental switching frequency modulation; non-duality; particle swarm optimization (PSO); stochastic optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345245
  • Filename
    6345245