• DocumentCode
    3481974
  • Title

    Assessing the value of reactive power service using OPF of reactive power

  • Author

    Moreno, H. ; Plumel, S. ; Bastard, P.

  • Author_Institution
    Supelec, Gif-sur-Yvette
  • fYear
    2005
  • fDate
    27-30 June 2005
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes an approach for the optimal power flow (OPF) problem when reactive power supply is priced at marginal cost. This method computes the reactive power and voltage schedules minimizing the total reactive power cost. This allows obtaining curves of needs that would be the beginning for assigning the value of the reactive power generation in a deregulated power market. At the same time, selections of similar remuneration level areas will be possible. The method uses the matrix of sensitivity to linearize the problem. A linear programming technique is used to solve the optimization problem. The method is applicable under normal steady state operation. The uncertainty in reactive power demand is incorporated through Monte-Carlo simulations. The expected reactive power procurement plan for ISO is hence determined. Results of the application of this method, on 6- bus and 12-bus test systems are presented and discussed.
  • Keywords
    Monte Carlo methods; linear programming; load flow; matrix algebra; power generation economics; power markets; reactive power; Monte-Carlo simulations; deregulated power market; linear programming technique; matrix of sensitivity; optimal power flow problem; optimization problem; reactive power generation; reactive power service; steady state operation; Cost function; Linear programming; Load flow; Power generation; Power markets; Power supplies; Processor scheduling; Reactive power; Steady-state; Voltage; Interconnected power systems; Power generation dispatch; Power system economics; Reactive power control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2005 IEEE Russia
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-5-93208-034-4
  • Electronic_ISBN
    978-5-93208-034-4
  • Type

    conf

  • DOI
    10.1109/PTC.2005.4524430
  • Filename
    4524430