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

Yoshihiko Ejima, Hidekazu Kondo, Shinichi Iwamoto

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

    2 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication2007 IEEE Power Engineering Society General Meeting, PES
    DOIs
    Publication statusPublished - 2007
    Event2007 IEEE Power Engineering Society General Meeting, PES - Tampa, FL
    Duration: 2007 Jun 242007 Jun 28

    Other

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

    Keywords

    • Bad data
    • Nonquadratic objective function
    • Optimal multiplier
    • Power systems
    • State estimation

    ASJC Scopus subject areas

    • Energy(all)

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  • Cite this

    Ejima, Y., Kondo, H., & Iwamoto, S. (2007). New bad data rejection algorithm using nonquadratic objective function for state estimation. In 2007 IEEE Power Engineering Society General Meeting, PES [4275693] https://doi.org/10.1109/PES.2007.385927