• DocumentCode
    1680266
  • Title

    A sensitivity analysis based security constrained optimal power flow for allocation of reactive capability in a competitive environment

  • Author

    Yao, L. ; Strbac, G.

  • Author_Institution
    Centre for Electr. Energy, Univ. of Manchester Inst. of Sci. & Technol., UK
  • fYear
    1999
  • Firstpage
    61
  • Abstract
    This paper presents a sensitivity analysis based security constrained optimal power flow (SCOPF) for solving the green field VAr allocation problem. Sensitivity analysis is used to quantify the impact of an incremental change in reactive pattern and various controls on the voltage profiles for a number of power system states. An efficient method for computing all relevant sensitivities is developed for that purpose and incorporated within the LP based SCOPF. The proposed scheme is implemented to optimally allocate reactive power reserves among system generators. Results of the case studies carried out on the IEEE-30 bus system demonstrate the validity of the developed sensitivity analysis based SCOPF method.
  • Keywords
    control system analysis computing; control system synthesis; linear programming; load flow control; optimal control; power system analysis computing; power system control; power system security; reactive power; sensitivity analysis; IEEE-30 bus system; case studies; competitive environment; computer simulation; control design; control simulation; power system states; reactive capability allocation; security constrained optimal power flow; sensitivity analysis; voltage profiles; Control systems; Costs; Electricity supply industry; Load flow; Power generation; Power system security; Reactive power; Reactive power control; Sensitivity analysis; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
  • Conference_Location
    Budapest, Hungary
  • Print_ISBN
    0-7803-5836-8
  • Type

    conf

  • DOI
    10.1109/PTC.1999.826492
  • Filename
    826492