• DocumentCode
    601838
  • Title

    A variable switching frequency algorithm to improve the total efficiency of single-phase grid-connected inverters

  • Author

    Bo Cao ; Liuchen Chang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of New Brunswick, Fredericton, NB, Canada
  • fYear
    2013
  • fDate
    17-21 March 2013
  • Firstpage
    2310
  • Lastpage
    2315
  • Abstract
    The selection of an optimal switching frequency of pulse width modulation (PWM) for single-phase inverters is one of the most effective ways to improve the inverters´ efficiency. However, the lower switching frequency results in the higher harmonic voltage and current. For grid- connected inverters, the harmonic current distortion is significantly affected by the switching frequency. Therefore, the choice of switching frequency is usually considered as a tradeoff between lowering the total demand distortion (TDD) of output current and reducing the switching losses. In this paper, a variable switching frequency algorithm that changes the carrier frequency of a modified space vector pulse width modulation (SVPWM) control in real time based on different operating conditions is developed to improve the overall efficiency of the inverter while meeting a TDD requirement specified in IEEE Standard 1547. The performance of the proposed algorithm is verified by both Matlab-based simulation and experiments conducted on a 12kw single-phase inverter.
  • Keywords
    IEEE standards; PWM invertors; distortion; power grids; IEEE Standard 1547; Matlab-based simulation; PWM; SVPWM; TDD; grid-connected inverters; harmonic current; harmonic current distortion; harmonic voltage; modified space vector pulse width modulation; optimal switching frequency; power 12 kW; pulse width modulation; single-phase grid-connected inverters; single-phase inverter; switching frequency; total demand distortion; variable switching frequency algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Power Electronics Conference and Exposition (APEC), 2013 Twenty-Eighth Annual IEEE
  • Conference_Location
    Long Beach, CA
  • ISSN
    1048-2334
  • Print_ISBN
    978-1-4673-4354-1
  • Electronic_ISBN
    1048-2334
  • Type

    conf

  • DOI
    10.1109/APEC.2013.6520617
  • Filename
    6520617