New bad data rejection algorithm using nonquadratic objective function for state estimation

Yoshihiko Ejima*, Hidekazu Kondo, Shinichi Iwamoto

*この研究の対応する著者

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    This paper first illustrates a state estimator with a quadratic-constant objective function in which the detection and rejection of bad data, or faulty measurements, are merely consequences of the objective function form. Then, as countermeasures for multiple interacting gross bad data, a novel implementation of bad data rejection scheme is proposed and applied to this estimator. In this scheme, both bad and suspected measurements are removed from calculation so as to avoid deterioration of the state estimate, and thus avoid misidentifications of non-faulty measurements. Furthermore the optimal multiplier μ, calculated using a subroutine taking into account the bad and suspected measurements, is introduced to compensate for the reduced redundancy, improve convergence characteristics, and properly detect bad data. Numerical simulations are carried out using the IEEE 6, 30, and 118 bus test models to verify the validity of the proposed method.

    本文言語English
    ホスト出版物のタイトル2007 IEEE Power Engineering Society General Meeting, PES
    DOI
    出版ステータスPublished - 2007
    イベント2007 IEEE Power Engineering Society General Meeting, PES - Tampa, FL
    継続期間: 2007 6 242007 6 28

    Other

    Other2007 IEEE Power Engineering Society General Meeting, PES
    CityTampa, FL
    Period07/6/2407/6/28

    ASJC Scopus subject areas

    • エネルギー(全般)

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