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

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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.
CountryUnited Kingdom
CityManchester
Period18/06/201722/06/2017

Keywords

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

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