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Space Vector Modulation Methods for Common-Mode Voltage Reduction in Current-Source Drives

  • Author / Creator
    Shang, Jian
  • Various reduced common-mode voltage space vector modulation (RCMV SVM) methods have been proposed to reduce destructive common-mode voltage (CMV) in both voltage source converter (VSC) and current source converter (CSC) based motor drive systems. Most of them reduce the CMV by avoiding using zero-state vectors. Unlike CMV in VSCs which is related to constant dc-link voltage, CMV in CSCs is related to AC side voltages which vary sinusoidally. Thus, zero-state vectors in CSCs can be selected, instead of being avoided, to reduce CMV. In this thesis, three zero-state selection methods for CMV reduction in CSC based motor drives are proposed. Method 1 is CMV peak value reduction using independent approach, Method 2 is CMV peak value reduction using synchronized approach, and Method 3 is CMV average value reduction. Unlike the nonzero-state modulation methods, the proposed methods will not shrink the modulation index range or affect the harmonic performance.

  • Subjects / Keywords
  • Graduation date
    2014-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3PM4S
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Energy Systems
  • Supervisor / co-supervisor and their department(s)
    • Li, Yunwei (Department of Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Khajehoddin, Sayed Ali (Department of Electrical and Computer Engineering)
    • Li, Yunwei (Department of Electrical and Computer Engineering)
    • Salmon, John (Department of Electrical and Computer Engineering)