• DocumentCode
    2680518
  • Title

    RSA-grid: a grid computing based framework for power system reliability and security analysis

  • Author

    Ali, M. ; Dong, Z.Y. ; Li, X. ; Zhang, P.

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Queensland Univ., Brisbane, Qld.
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    Grid computing is an emerging technology for providing the high performance computing capability and collaboration mechanism for solving the collaborated and complex problems while using the existing resources. In this paper, a grid computing based framework is proposed for the probabilistic based power system reliability and security analysis. The suggested name of this computing grid is reliability and security grid (RSA-grid). Then the architecture of this grid is presented. A prototype system has been built for further development of grid-based services for power systems reliability and security assessment based on probabilistic techniques, which require high performance computing and large amount of memory. Preliminary results based on prototype of this grid show that RSA-grid can provide the comprehensive assessment results for real power systems efficiently and economically
  • Keywords
    grid computing; power engineering computing; power system reliability; power system security; probability; RSA-grid; grid computing; grid-based services; power system reliability; probabilistic techniques; reliability and security grid; security analysis; Collaboration; Computer architecture; Grid computing; High performance computing; Power generation economics; Power system analysis computing; Power system economics; Power system reliability; Power system security; Prototypes; Grid Computing; Monte Carlo simulation; Power system reliability and security analysis; probabilistic reliability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709374
  • Filename
    1709374