• DocumentCode
    2070842
  • Title

    Direct non-iterative power system state solution and estimation

  • Author

    Fardanesh, B.

  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a new method and tool for estimating and solving for the state of a nonlinear AC power system directly and non-iteratively. It is based on the re-linearization technique. This method is direct since it does not utilize the traditional Least-Squares objective function and its derivatives. It is non-iterative and does not depend on an initial guess. The method has been applied to various formulations of the power system equations. The method has only been applied to small power systems up to about 150 buses and very preliminary results are presented here. The method is geared toward higher quality measurements such as synchrophasors obtained using PMUs and may require a subset of sufficiently accurate or error-free measurements in some cases. With additional testing and further commercial grade software development is it hoped that this new method can improve both the robustness and the speed of solving for the state of power systems in the future.
  • Keywords
    least mean squares methods; power system state estimation; commercial grade software development; direct noniterative power system state solution; error-free measurements; least-squares objective function; nonlinear AC power system; power system equations; power system state estimation; re-linearization technique; synchrophasors; Current measurement; Equations; Load flow; Matrix decomposition; Power measurement; Voltage measurement; Control Center Applications; Direct Non-Iterative State Estimation and State Solution; EMS; PMU-based State Estimation and Solution; Phasor Measurements; Power Systems Operation and Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345757
  • Filename
    6345757