• DocumentCode
    2823603
  • Title

    PMU Placement for enhancing dynamic observability of a power grid

  • Author

    Du, Pengwei ; Huang, Zhenyu ; Diao, Ruisheng ; Lee, Barry ; Anderson, Kevin K.

  • Author_Institution
    Pacific Northwest Nat. Lab., Richland, WA, USA
  • fYear
    2010
  • fDate
    27-29 Sept. 2010
  • Firstpage
    15
  • Lastpage
    21
  • Abstract
    Power grids are operated in an increasingly complicated environment. However, operators lack effective and accurate tools for real-time monitoring and control of power systems. The U.S. Department of Energy, along with several utilities and system operators, is making a major $108 million investment in the Western Interconnection for phasor measurement unit (PMU) installation and phasor application development. This phasor measurement network opens up many opportunities for the estimation and prediction of power system states in real time, which enable operators to evaluate the system dynamic security in advance and allow them more time to respond to disturbances. Kalman filter based dynamic state estimation offers a solution suitable for this purpose. Our work indicates that the performance of Kalman filters in dynamic state estimation would degrade if PMU measurements cannot adequately capture the system dynamics. This paper develops a framework to identify how to place PMUs to improve dynamic observability of the power grid. Simulation results validate the concept, and the guidelines for PMU placement are derived.
  • Keywords
    Kalman filters; computerised monitoring; observability; phase measurement; power grids; power system control; power system security; power system state estimation; Kalman filter; PMU; dynamic observability; dynamic state estimation; phasor measurement unit; power grid; power system control; power system security; real-time monitoring; Eigenvalues and eigenfunctions; Kalman filters; Mathematical model; Phasor measurement units; Power system dynamics; State estimation; Dynamic Simulation; Dynamic State Estimation; Extended Kalman Filter; Power System Operations; State Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Technologies for an Efficient and Reliable Electricity Supply (CITRES), 2010 IEEE Conference on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4244-6076-2
  • Type

    conf

  • DOI
    10.1109/CITRES.2010.5619843
  • Filename
    5619843