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Large-Scale Power Electronic Circuit Simulation on a Massively Parallel Architecture

  • Author / Creator
    Yan, Shenhao
  • Power electronic devices have been utilized in myriad applications in power system at all voltage and power levels. Accurate and efficient simulation is required for precise control and performance analysis of power electronic converters. Nonlinear physics-based device-level models of power electronic devices, such as insulated-gate bipolar transistor and power diode, have been previously developed to give detailed information of the components. Due to the high frequency switching transients, model complexity and nonlinear device characteristics, the application of physics-based model has hitherto been limited. Massive-thread computing brings up a new concept of dealing with highly complex models using parallel processing. Graphics processors equipped with thousands of compute cores meet the requirement of data and task parallelism for the solution of large-scale power electronic systems containing multiple detailed components while significantly increasing the simulation efficiency. This thesis provides the application of massively parallel processing in large-scale power electronic circuit simulation. Massively parallel modules are developed for the physics-based IGBT and power diode models, in addition, efficient numerical solvers are developed for numerical linear and nonlinear system solution. The implementations are verified for the simulation of modular multi-level converters (MMCs) and compared with commercial device-level simulation software. The results show good agreement, larger-scale computational capability and considerable acceleration.

  • Subjects / Keywords
  • Graduation date
    2016-06:Fall 2016
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R39G5GK18
  • 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)
    • Dinavahi, Venkata (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Niu, Di (Electrical and Computer Engineering)
    • Wang, Xihua (Electrical and Computer Engineering)