State estimation with identification of erroneous network parameters

Sulav Ghimire, Alvaro Gonzalez-Castellanos, Irina Lukicheva, David Pozo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Erroneous data of the power network parameters can have a massive impact on the quality of the power system state estimation. In general, existing databases for state estimation are used assuming that data is trustful. However, this is not always the case. Erroneous parameters can induce wrong state estimations or mistakenly indicate bad data measurements. In this paper, we propose a methodology for the identification of parameter errors in a power system and run state-estimation in the presence of these parameter errors. This algorithm was tested against different IEEE test systems, and the results showed high reliability on separating correct from incorrect parameters with minimal information about the power system.

Original languageEnglish
Title of host publicationSEST 2020 - 3rd International Conference on Smart Energy Systems and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728147017
DOIs
Publication statusPublished - Sep 2020
Event3rd International Conference on Smart Energy Systems and Technologies, SEST 2020 - Virtual, Istanbul, Turkey
Duration: 7 Sep 20209 Sep 2020

Publication series

NameSEST 2020 - 3rd International Conference on Smart Energy Systems and Technologies

Conference

Conference3rd International Conference on Smart Energy Systems and Technologies, SEST 2020
Country/TerritoryTurkey
CityVirtual, Istanbul
Period7/09/209/09/20

Keywords

  • Parameter Error
  • State Estimation
  • Weighted Least Square Method

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