• DocumentCode
    1867024
  • Title

    Electromagnetic transient simulation of large-scale electrical power networks using graphics processing units

  • Author

    Debnath, J.K. ; Wai-Keung Fung ; Gole, Ani M. ; Filizadeh, Shaahin

  • Author_Institution
    Dept. of Electr. & Comput. Eng. (ECE), Univ. of Manitoba, Winnipeg, MB, Canada
  • fYear
    2012
  • fDate
    April 29 2012-May 2 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper electromagnetic transient (EMT) simulation of large scale power systems using graphics processing unit (GPU) based computing is demonstrated. As the size of power system networks increases, the simulation time using conventional central processing units (CPUs) based simulation increases drastically. This paper proposes a hybrid CPU-GPU environment for fast large scale power systems simulation. In this scheme the GPU is mainly deployed to perform the computationally intensive part of the simulation in parallel on its built-in multiple processing cores, and the CPU is assigned for other sequential jobs like flow control of the simulation and storing output data, etc. The GPU-based approach is used to simulate a network with 900 Buses, and it is shown that the CPU-GPU based implementation is 70 times faster than the conventional CPU-based implementations.
  • Keywords
    EMTP; graphics processing units; multiprocessing systems; parallel processing; power system interconnection; power system simulation; CPU-based simulation; EMT simulation; GPU-based computing; built-in multiple processing cores; central processing units; electromagnetic transient simulation; fast large scale power system simulation; flow control; graphics processing units; hybrid CPU-GPU environment; large scale power systems; large-scale electrical power networks; parallel simulation; sequential jobs; simulation time; Central Processing Unit; Computational modeling; Computers; Graphics processing unit; Mathematical model; Performance gain; Power systems; Electromagnetic Transient Simulation; GPU computing; Graphics Processing Unit; Parallel Processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
  • Conference_Location
    Montreal, QC
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4673-1431-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2012.6334886
  • Filename
    6334886