• DocumentCode
    2330054
  • Title

    Parallel domain decomposition for simulation of large-scale power grids

  • Author

    Sun, Kai ; Zhou, Quming ; Mohanram, Kartik ; Sorensen, Danny C.

  • Author_Institution
    Rice Univ., Houston
  • fYear
    2007
  • fDate
    4-8 Nov. 2007
  • Firstpage
    54
  • Lastpage
    59
  • Abstract
    This paper presents fully parallel domain decomposition (DO) techniques for efficient simulation of large-scale linear circuits such as power grids. DD techniques that use non-overlapping and overlapping partitioning of power grids are described in this paper. Simulation results show that with the proposed parallel DD framework, existing linear circuit simulators can be extended to handle large-scale power grids. Results for circuits with more than four million nodes indicate that parallel DD with LU factorization is most suitable for power grid simulation. However, for densely connected power grids, parallel DD with additive Schwarz preconditioning offers maximum scalability and best performance.
  • Keywords
    circuit simulation; integrated circuit design; matrix decomposition; power grids; LU factorization; additive Schwarz preconditioning; large-scale linear circuit simulation; large-scale power grid simulation; nonoverlapping partitioning; parallel domain decomposition; Circuit simulation; Computational modeling; Computer simulation; Concurrent computing; Grid computing; Large-scale systems; Linear circuits; Power grids; Power systems; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design, 2007. ICCAD 2007. IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1092-3152
  • Print_ISBN
    978-1-4244-1381-2
  • Electronic_ISBN
    1092-3152
  • Type

    conf

  • DOI
    10.1109/ICCAD.2007.4397243
  • Filename
    4397243