• DocumentCode
    2578284
  • Title

    A stochastic Petri nets approach to dependability analysis of control center networks in smart grid

  • Author

    Rongfei Zeng ; Yixin Jiang ; Chuang Lin ; Xuemin Shen

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
  • fYear
    2011
  • fDate
    9-11 Nov. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    As an indispensable infrastructure for the future life, smart grid is being implemented to save energy, reduce costs and increase reliability. In smart grid, control center networks have attracted a great number of attentions, because their security and dependability issues are critical to the entire smart grid. Several studies have been conducted in the field of security, but few work focuses on the dependability analysis of control center networks. In this paper, we adopt a concise mathematic tool, stochastic Petri nets (SPNs), to analyze the dependability of control center networks in smart grid. With the proposed SPNs model, we can measure the dependability from two metrics, i.e., the reliability and availability, through analyzing the transient probability. We also study a specific case to demonstrate the feasibility and efficiency of the proposed model in the dependability analysis of control center networks in smart grid.
  • Keywords
    Petri nets; power system reliability; power system security; smart power grids; stochastic processes; SPN model; concise mathematic tool; control center networks; dependability analysis; reliability; security issue; smart grid; stochastic Petri net approach; transient probability; Availability; Petri nets; Servers; Smart grids; Substations; Transient analysis; Smart grid; dependability analysis; stochastic petri nets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Signal Processing (WCSP), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4577-1009-4
  • Electronic_ISBN
    978-1-4577-1008-7
  • Type

    conf

  • DOI
    10.1109/WCSP.2011.6096966
  • Filename
    6096966