• DocumentCode
    162862
  • Title

    Generalized injection shift factors and application to estimation of power flow transients

  • Author

    Chen, Yu Christine ; Dominguez-Garcia, Alejandro D. ; Sauer, P.W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2014
  • fDate
    7-9 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes a method to estimate transmission line flows in a power system during the transient period following a loss of generation or increase in load contingency by using linear sensitivity injection shift factors (ISFs). Traditionally, ISFs are computed from an offline power flow model of the system with the slack bus defined. The proposed method, however, relies on generalized ISFs estimated via the solution of a system of linear equations that arise from high-frequency synchronized measurements obtained from phasor measurement units. Even though the generalized ISFs are obtained at the pre-disturbance steady-state operating point, by leveraging inertial and governor power flows during appropriate time-scales, they can be manipulated to predict active transmission line flows during the post-contingency transient period.
  • Keywords
    load flow; phasor measurement; power system transients; power transmission lines; power transmission planning; ISF; generalized injection shift factors; high-frequency synchronized measurements; linear equations; linear sensitivity injection shift factors; load contingency; offline power flow model; phasor measurement units; post-contingency transient period; power flow transient estimation; predisturbance steady-state operating point; transmission line flow estimation; Load modeling; Mathematical model; Power measurement; Power transmission lines; Transient analysis; Transmission line measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2014
  • Conference_Location
    Pullman, WA
  • Type

    conf

  • DOI
    10.1109/NAPS.2014.6965399
  • Filename
    6965399