• DocumentCode
    3221169
  • Title

    Restoring solutions for unsolvable cases via minimum load shedding for a specified direction

  • Author

    Barboza, Luciano V. ; Salgado, Roberto

  • Author_Institution
    Universidade Catolica de Pelotas, Brazil
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    374
  • Lastpage
    379
  • Abstract
    This paper focuses on a methodology to determine corrective adjustments on the electric power network when the steady-state power flow equations have no real solution. The proposed approach is based on the nonlinear version of the predictor-corrector primal-dual interior point optimization algorithm. The active and reactive power loads are parameterized. They are expressed in terms of a base demand, a pre-specified rate of load decrease (here called specified direction) and a load parameter. The demand factor and the specified direction indicate the amount of load to be curtailed. The optimization problem consists of minimizing this factor, so that the solution of the power flow equations is restored. The operational limits of the power system are modeled as inequality constraints. Results obtained for three real networks of 352, 749 and 1916 buses, equivalent to the Brazilian South-Southeast power system, illustrate the performance of the proposed technique
  • Keywords
    load flow; load shedding; optimisation; power systems; reactive power; Brazilian South-Southeast power system; active power loads; corrective adjustments; corrective power flow solutions; demand factor; electric power network; load parameter; minimum load shedding; operational limits; optimal power flow; power flow equations; predictor-corrector primal-dual interior point optimization algorithm; reactive power loads; specified direction; steady-state power flow equations; unsolvable power flow; Computer aided software engineering; Equations; Load flow; Power system analysis computing; Power system modeling; Power system planning; Power system restoration; Power systems; Reactive power; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Industry Computer Applications, 2001. PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6681-6
  • Type

    conf

  • DOI
    10.1109/PICA.2001.932380
  • Filename
    932380