• DocumentCode
    1945011
  • Title

    Denial-of-Service (dos) attacks on load frequency control in smart grids

  • Author

    Shichao Liu ; Liu, Xiaoping P. ; El Saddik, Abdulmotaleb

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2013
  • fDate
    24-27 Feb. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    While open communication infrastructures are embedded into smart grids to support vast amounts of data exchange, it makes smart grids vulnerable to cyber attacks. In this paper, we investigate the effects of Denial-of-Service (DoS) attacks on load frequency control (LFC) of smart grids. In contrast with existing works, we consider the problem that how DoS attacks affect the dynamic performance of a power system. The state space model of power systems under DoS attacks is formulated as a switched system. By applying switched system theories, the existence of DoS attacks that make the dynamics of a power system unstable is proved. A two-area power system is used to conduct case studies. The dynamic performance of the power system, such as convergence and steady-state errors, is compared under different DoS attack scenarios. It is shown that the dynamic performance of the power system is affected strongly if the adversaries launch DoS attacks before the dynamics of the power system converge.
  • Keywords
    frequency control; load regulation; power system dynamic stability; smart power grids; DoS; LFC; cyber attack; data exchange; denial-of-service attack; load frequency control; open communication infrastructure; smart grid; state space model; steady-state error; switched system theory; two-area power system unstability; Communication channels; Computer crime; Power system dynamics; Power system stability; Smart grids; Switched systems; Switches; Smart grids; denial-of-service (DoS) attacks; load frequency control (LFC); power system dynamics; switched systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2013 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4673-4894-2
  • Electronic_ISBN
    978-1-4673-4895-9
  • Type

    conf

  • DOI
    10.1109/ISGT.2013.6497846
  • Filename
    6497846