• DocumentCode
    2635042
  • Title

    An sequential linear programming algorithm for security-constrained optimal power flow

  • Author

    Tao, Ye ; MelioPoulos, A. P Sakis

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2009
  • fDate
    4-6 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes a new formulation of the security-constrained optimal power flow (SCOPF) problem and proposes a sequential linear programming algorithm for its solution. The new formulation introduces mismatch variables to ensure that the algorithm remains in the feasible region. Thus the algorithm starts from an arbitrary state: mismatch currents are computed and introduced at each bus to make the present iterate appear in a feasible region. The algorithm moves the solution towards the optimal while minimizes the mismatch variables. When the mismatch variables are zeroed, the optimal has been found. At each iteration, the problem is formulated as a nonlinear optimization problem with linear or quadratic equations via a quadratization procedure presented in earlier papers. The formulation and algorithm is demonstrated on a three-bus system.
  • Keywords
    Constraint optimization; Filtering; Iterative algorithms; Large-scale systems; Linear programming; Load flow; Optimization methods; Paper technology; Power engineering and energy; Power engineering computing; Quadratized power flow; Security-constrained optimal power flow; Sequential linear programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    North American Power Symposium (NAPS), 2009
  • Conference_Location
    Starkville, MS, USA
  • Print_ISBN
    978-1-4244-4428-1
  • Electronic_ISBN
    978-1-4244-4429-8
  • Type

    conf

  • DOI
    10.1109/NAPS.2009.5484047
  • Filename
    5484047