• DocumentCode
    2807467
  • Title

    Maximum exponential absolute value approach for robust state estimation

  • Author

    Yanbo Chen ; Feng Liu ; Guangyu He ; Shengwei Mei ; Yanlan Fu

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    Oct. 30 2012-Nov. 2 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper proposes a maximum exponential absolute value (MEAV) approach for robust state estimation of power system. We firstly formulate the robust state estimation issue as a maximization problem with an exponential absolute value objective function. Then we give the equivalent model of MEAV and the corresponding solution algorithm based on primal-dual interior point method. Simulation results demonstrate that the proposed MEAV estimator is highly robust to large-scale system with gross errors in measurements. Moreover, the proposed algorithm has also shows good numerical stability and high efficiency in various trials.
  • Keywords
    numerical stability; optimisation; power systems; MEA estimator; gross errors; large-scale system; maximization problem; maximum exponential absolute value approach; numerical stability; power system; primal-dual interior point method; robust state estimation; solution algorithm; Erbium; Helium; Power measurement; Power systems; Bad data identification; maximum exponential absolute value; robust state estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2012 IEEE International Conference on
  • Conference_Location
    Auckland
  • Print_ISBN
    978-1-4673-2868-5
  • Type

    conf

  • DOI
    10.1109/PowerCon.2012.6401317
  • Filename
    6401317