• DocumentCode
    2887437
  • Title

    Power system adequacy assessment with load redistribution attacks

  • Author

    Yingmeng Xiang ; Zhilu Ding ; Lingfeng Wang

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Wisconsin-Milwaukee, Milwaukee, WI, USA
  • fYear
    2015
  • fDate
    18-20 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The wider deployment of advanced information and control technologies in the smart grid makes the power grid more vulnerable to cyber attacks such as false data injection attacks. However, the work on the long-term statistical impact of these attacks on the power grid adequacy is rather limited. In this study a novel adequacy evaluation procedure incorporating the load redistribution (LR) attack is proposed. The procedure takes into consideration the physical failures and the bilevel model representing the LR attack. The simulation is conducted based on Monte Carlo simulation (MCS) using Matlab and CPLEX. The influences of the time of attacks, the attack level, the defense level and the line transmission capacity are investigated. It is concluded that the cyber defense level is critical to the power system adequacy, and cyber issues need to be considered in the planning of the power grid.
  • Keywords
    Monte Carlo methods; failure analysis; load distribution; power engineering computing; power system planning; power system reliability; security of data; smart power grids; LR attack; MCS; Monte Carlo simulation; bilevel model; cyber attacks; cyber defense level; cyber issues; load redistribution attack; long-term statistical impact; physical failures; power grid planning; power system adequacy assessment; smart power grid adequacy evaluation; Load modeling; Power system reliability; Reliability; Smart grids; Transmission line measurements; Cybersecurity; adequacy assessment; bilevel optimization; cyber-physical systems; false data injection attack; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/ISGT.2015.7131808
  • Filename
    7131808