• DocumentCode
    3534942
  • Title

    PMU deployment for optimal state estimation performance

  • Author

    Yue Yang ; Roy, Sandip

  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    1464
  • Lastpage
    1468
  • Abstract
    The future `smart´ grid will see increasing deployments of intelligent electronic devices (IED), that sense the grid state variables so as to support enhanced, real-time monitoring and control within a service area for achieving increased operational efficiency, reliability and security. Increasing penetration of Phasor Measurement Units (PMUs) like devices within the distribution grid are anticipated; however, due to the high cost of PMU installation, their deployment will continue to be selective for the foreseeable future. Previous work has largely focused on achieving full topological observability with (appropriately placed) minimal number of PMUs for a given network. We observe that there typically exist multiple minimal-PMU sets that achieve full observability, affording an additional degree of freedom to select an optimal choice among this set. We define the desired solution as the placement that also achieves best state estimation performance. Accordingly, we propose two approaches - a greedy algorithm and an integer programming method to determine the PMU locations that minimize the mean-squared state estimation error.
  • Keywords
    integer programming; observability; phasor measurement; smart power grids; IED; PMU deployment; PMU installation; PMU locations; best state estimation performance; distribution grid; greedy algorithm; integer programming method; intelligent electronic devices; mean-squared state estimation error; multiple minimal-PMU sets; optimal state estimation performance; phasor measurement units; real-time control; real-time monitoring; reliability; smart grid; topological observability; Current measurement; Greedy algorithms; Linear programming; Phasor measurement units; State estimation; Vectors; Voltage measurement; Deployment; Phasor Measurement Units (PMU); State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Globecom Workshops (GC Wkshps), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-1-4673-4942-0
  • Electronic_ISBN
    978-1-4673-4940-6
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2012.6477801
  • Filename
    6477801