• DocumentCode
    3069301
  • Title

    Optimal power flow by linear programming based optimization

  • Author

    Mukherjee, Srijib K. ; Recio, Agustin ; Douligeris, Christos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
  • fYear
    1992
  • fDate
    12-15 Apr 1992
  • Firstpage
    527
  • Abstract
    Electric utilities in the United States utilize various linear programming techniques to achieve optimal power flow. The authors extend one such technique of linear programming based optimization for optimal power flow. Constraints for the slack bus are introduced and all branch and link flows are taken into account. This automatically puts each bus in the same flow state, thereby optimizing the entire system. Results show that a 220 kV five-bus system convergence within one iteration was achieved with a considerable reduction in CPU time. The technique has been recommended to Florida Power and Light Company´s Power System Control Division and has proved successful for a 15 bus system using real-time data
  • Keywords
    iterative methods; linear programming; load flow; optimal control; power system computer control; 220 kV; USA; convergence; digital control; electric utilities; iteration; linear programming; load flow; optimal power flow; optimization; real-time; slack bus; Convergence; Costs; Equations; Linear programming; Load flow; Power engineering and energy; Power engineering computing; Power industry; Power system control; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '92, Proceedings., IEEE
  • Conference_Location
    Birmingham, AL
  • Print_ISBN
    0-7803-0494-2
  • Type

    conf

  • DOI
    10.1109/SECON.1992.202407
  • Filename
    202407