• DocumentCode
    2291014
  • Title

    Effect of stealthy bad data injection on network congestion in market based power system

  • Author

    Esmalifalak, Mohammad ; Han, Zhu ; Song, Lingyang

  • Author_Institution
    ECE Dept., Univ. of Houston, Houston, TX, USA
  • fYear
    2012
  • fDate
    1-4 April 2012
  • Firstpage
    2468
  • Lastpage
    2472
  • Abstract
    In a smart grid, the strong coupling between cyber and physical operations makes power systems vulnerable to cyber attacks. Changing the traditional structure of power systems and integrating communication devices are beneficial for better monitoring and decisionmaking by System Operators but increases the chance of being maliciously attacked. The communication links can be hacked so that the attacker can alter the power flow and power injection measurements, which are used to estimate the states of power system. In this paper, we formulate an attack strategy that can change the congestion of transmission lines without being detectable. Moreover, the financial benefit in an Ex-Post market is also investigated. Simulation results on an IEEE 30-Bus test system shows both the changes of congestion and the potential financial benefit gained by an attacker.
  • Keywords
    data communication equipment; power engineering computing; power system state estimation; smart power grids; IEEE 30-Bus test system; attack strategy; communication devices; cyber attacks; ex-post market; financial benefit; malicious attack; market based power system; network congestion; power flow; power injection measurements; power systems; smart grid; stealthy bad data injection; strong coupling; Power measurement; Power transmission lines; State estimation; Transmission line measurements; Vectors; Voltage measurement; Ex-Ante/Ex-Post Market; Locational Marginal Price; State Estimation; Stealthy Bad Data Injection Attack;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2012 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-0436-8
  • Type

    conf

  • DOI
    10.1109/WCNC.2012.6214211
  • Filename
    6214211