• DocumentCode
    2053062
  • Title

    Cyber attacks on power system state estimation through topology errors

  • Author

    Ashok, A. ; Govindarasu, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The exposure of SCADA network infrastructure to cyber threats has increased enormously due to increased interconnectivity of SCADA and public network infrastructures. The number and complexity of cyber attacks on key power system operational functions like Automatic Generation Control (AGC), State Estimation (SE), and Energy Management Systems (EMS) are increasing everyday. This paper discusses the effect of intentional topology errors created on the power system state estimation function through cyber attacks. The paper provides a method by which an unobservable topology error can be created through a cyber attack. Also, it describes the impact of such an unobservable attack through System Operating Limit (SOL) violations using the IEEE 14 bus power system model.
  • Keywords
    SCADA systems; power engineering computing; power system security; power system state estimation; security of data; AGC; EMS; IEEE 14-bus power system model; SCADA interconnectivity; SCADA network infrastructure; SOL violation; automatic generation control; cyber attacks; cyber threats; energy management systems; intentional topology errors; power system operational functions; power system state estimation; public network infrastructures; system operating limit; Matrices; Network topology; Power systems; Security; Standards; State estimation; Topology; Cyber attack; Observability; State Estimation; Topology errors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345091
  • Filename
    6345091