• DocumentCode
    1610217
  • Title

    Parallel real-time simulation of Integrated Power System with multi-phase machines based on component partitioning

  • Author

    Xu, Yin ; Chen, Ying ; Chen, Laijun ; Gong, Yuan

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a parallel algorithm for realtime simulation of the electromagnetic transient dynamics of the integrated power systems, which contains multi-phase machines and converters. The proposed algorithm is base on the component partitioning and Multiarea Thevenin Equivalent (MATE) methods. By partitioning the computational model of the multi-phase machine into several parts, a decomposition and coordination computation schema is designed. Moreover, with the help of the component partitioning, the overall system can be partitioned more flexibly and balanced, which helps to enhance the efficiency of the MATE methods eventually. Base on the proposed algorithm, a parallel simulation platform is constructed on a multi-core computer using OpenMP programs. Test results of a typical Integrated Power System (IPS) on ships verify the accuracy and efficiency of the proposed algorithm as well as prove the feasibility of applying the multi-core techniques to realize high performance power system simulations.
  • Keywords
    EMTP; power systems; component partitioning; electromagnetic transient dynamics; high performance power system simulations; integrated power system; multi-core techniques; multiarea thevenin equivalent methods; multiphase machines; parallel algorithm; parallel real-time simulation; Converters; Inverters; Pulse width modulation; Windings; EMTP; MATE; OpenMP; component partitioning; multi-core programming; multi-phase machine; parallel algorithm; real-time simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-5938-4
  • Type

    conf

  • DOI
    10.1109/POWERCON.2010.5666394
  • Filename
    5666394