• DocumentCode
    674879
  • Title

    A decentralized approach to generalized power system state estimation

  • Author

    Kekatos, Vassilis ; Vlahos, Evangelos ; Ampeliotis, Dimitris ; Giannakis, Georgios ; Berberidis, Kostas

  • Author_Institution
    Dept. of ECE, Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    2013
  • fDate
    15-18 Dec. 2013
  • Firstpage
    77
  • Lastpage
    80
  • Abstract
    Distributed generation and the urge for a more efficient grid operation will increase the frequency of network topology reconfigurations in tomorrow´s power grids. High-throughput synchrophasor and intelligent electronic device readings provide unprecedented instrumentation capabilities for generalized state estimation (GSE), which deals with identifying the power system state jointly with its network topology. This task is critically challenged by the complexity scale of a grid interconnection, especially under the detailed GSE model. Upon modifying the original GSE cost by block-sparsity promoting regularizers, a decentralized solver with enhanced circuit breaker verification capabilities is developed. Built on the alternating direction method of multipliers, the novel method maintains compatibility with existing solvers and requires minimum information exchanges across the control centers of neighboring power grids. Numerical tests on an extended IEEE 14-bus model corroborate the effectiveness of the novel approach.
  • Keywords
    circuit breakers; distributed power generation; power grids; power system state estimation; circuit breaker verification capabilities; decentralized approach; decentralized solver; distributed generation; extended IEEE 14-bus model; generalized power system state estimation; grid operation; network topology reconfigurations; power grid operation; Circuit breakers; Current measurement; Integrated circuit interconnections; Monitoring; Power systems; State estimation; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
  • Conference_Location
    St. Martin
  • Print_ISBN
    978-1-4673-3144-9
  • Type

    conf

  • DOI
    10.1109/CAMSAP.2013.6714011
  • Filename
    6714011