Detecting Topological Errors with Pre-Estimation Filtering of Bad Data in Wide-Area Measurements

Jakob Glarbo Møller, Mads Sørensen, Hjörtur Jóhannsson, Jacob Østergaard

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    Abstract

    It is expected that bad data and missing topology information will become an issue of growing concern when power system state estimators are to exploit the high measurement reporting rates from phasor measurement units. This paper suggests to design state estimators with enhanced resilience against those issues. The work presented here include a review of a pre-estimation filter for bad data. A method for detecting branch status errors which may also be applied before the state estimation is then proposed. Both methods are evaluated through simulation on a novel test platform for wide-area measurement applications. It is found that topology errors may be detected even under influence of the large dynamics following the loss of a heavily loaded branch.
    Original languageEnglish
    Title of host publicationProceedings of 12th IEEE Power and Energy Society PowerTech Conference
    Number of pages6
    PublisherIEEE
    Publication date2017
    DOIs
    Publication statusPublished - 2017
    Event12th IEEE Power and Energy Society PowerTech Conference: Towards and Beyond Sustainable Energy Systems - University Place, University of Manchester., Manchester, United Kingdom
    Duration: 18 Jun 201722 Jun 2017

    Conference

    Conference12th IEEE Power and Energy Society PowerTech Conference
    LocationUniversity Place, University of Manchester.
    Country/TerritoryUnited Kingdom
    CityManchester
    Period18/06/201722/06/2017

    Keywords

    • Power system State Estimation
    • Topology Error
    • Bad Data
    • PMU
    • WAMS

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