Convergence improvement and bad data detection for fast-decoupled state estimator using optimal multiplier

Masashi Tatsuno, Yoshihiko Ejima, Shinichi Iwamoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    4 Citations (Scopus)

    Abstract

    From power system on-line operation and security control view point, state estimation, a methodology used to obtain reliable estimate of power system state, has become one of the important issues. Among some state estimation methods, the fast-decoupled state estimator is commonly used as a prevailed method and has been implemented by many utilities. However, it has been recognized that its convergence characteristics may become deteriorated when it encounters bad system conditions. Therefore, in this paper, first of all, we present the fast-decoupled state estimator which is used in present power systems. Next, we propose a method to improve the convergence characteristics of fast-decoupled state estimator using the optimal multiplier μ, followed by a reliable technique to detect, identify and eliminate bad data. The proposed method has been tested on two types of load flow test systems and successful results have been obtained.

    Original languageEnglish
    Title of host publication2006 IEEE Power Engineering Society General Meeting, PES
    Publication statusPublished - 2006
    Event2006 IEEE Power Engineering Society General Meeting, PES - Montreal, QC
    Duration: 2006 Jun 182006 Jun 22

    Other

    Other2006 IEEE Power Engineering Society General Meeting, PES
    CityMontreal, QC
    Period06/6/1806/6/22

    Keywords

    • Bad data
    • Convergence characteristics
    • Fast-decoupled state estimator
    • Optimal multiplier

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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  • Cite this

    Tatsuno, M., Ejima, Y., & Iwamoto, S. (2006). Convergence improvement and bad data detection for fast-decoupled state estimator using optimal multiplier. In 2006 IEEE Power Engineering Society General Meeting, PES [1709040]