• DocumentCode
    2015377
  • Title

    Parallel contingency analysis in a high performance computing environment

  • Author

    Ezhilarasi, G. Angeline ; Swarup, K.S.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol. Madras, Chennai, India
  • fYear
    2009
  • fDate
    27-29 Dec. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a parallel processing approach to contingency analysis (CA) for power system security evaluation. Full AC power flow analysis is done for each contingency and violations of bus voltages and line flows are evaluated. All possible line outages are considered to avoid overlooking of certain critical cases. Parallel Processing is employed to increase the speed of execution. Parallelism is achieved by sharing each contingency across processors. The proposed methodology is implemented in a Linux Cluster. Data communication is performed through the Message Passing Interface (MPI). The effectiveness of parallelism is demonstrated by performing contingency analysis on standard IEEE Systems. The performance of the algorithm is analyzed in terms of computation speed and efficiency in comparison with the sequential approach.
  • Keywords
    Linux; application program interfaces; message passing; parallel processing; power system analysis computing; power system security; AC power flow analysis; Linux cluster; MPI; data communication; high performance computing environment; message passing interface; parallel contingency analysis; parallel processing approach; power system security evaluation; standard IEEE Systems; Clustering algorithms; Data communication; High performance computing; Linux; Load flow analysis; Message passing; Parallel processing; Performance analysis; Power system security; Voltage; Contingency Analysis; Message Passing Interface; Parallel Processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems, 2009. ICPS '09. International Conference on
  • Conference_Location
    Kharagpur
  • Print_ISBN
    978-1-4244-4330-7
  • Electronic_ISBN
    978-1-4244-4331-4
  • Type

    conf

  • DOI
    10.1109/ICPWS.2009.5442650
  • Filename
    5442650