• DocumentCode
    908308
  • Title

    A hybrid decoupled approach to optimal power flow

  • Author

    Yan, Z. ; Xiang, N.D. ; Zhang, B.M. ; Wang, S.Y. ; Chung, T.S.

  • Author_Institution
    Inst. of Syst. Sci., Acad. Sinica, Beijing, China
  • Volume
    11
  • Issue
    2
  • fYear
    1996
  • fDate
    5/1/1996 12:00:00 AM
  • Firstpage
    947
  • Lastpage
    954
  • Abstract
    This paper presents a hybrid decoupled optimal power flow approach aimed at implementing an optimal power flow program for online applications. By taking advantage of the partial duality principle of mathematical programming theory and the inherent weak coupling characteristics between real and reactive power flows in a power system, the solution to the original optimization problem can be approximated iteratively by solving a real and a reactive subproblem alternately. Two special deliberately customized techniques, one (based on linear programming) and the other (based on quadratic programming), are adopted to solve the two subproblems respectively. This hybrid feature makes the approach very flexible while preserving the efficiency of decoupling. The approach has been successfully implemented for online usage in the Control Center of Northeast China Electric Power Administration
  • Keywords
    control system synthesis; duality (mathematics); load flow; load management; load regulation; mathematical programming; optimal control; power system control; reactive power control; decoupling efficiency; hybrid decoupled approach; linear programming; mathematical programming theory; optimal control design; optimal load flow; partial duality principle; power systems; quadratic programming; reactive power flow; real power flow; weak coupling characteristics; Constraint optimization; Hybrid power systems; Linear programming; Load flow; Mathematical programming; Power system economics; Power systems; Quadratic programming; Reactive power; Samarium;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.496179
  • Filename
    496179