• DocumentCode
    1388504
  • Title

    A homogeneous linear programming algorithm for the security constrained economic dispatch problem

  • Author

    Jabr, Rabih A. ; Coonick, Alun H. ; Cory, Brian J.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
  • Volume
    15
  • Issue
    3
  • fYear
    2000
  • fDate
    8/1/2000 12:00:00 AM
  • Firstpage
    930
  • Lastpage
    936
  • Abstract
    This paper presents a study of the simplified homogeneous and self-dual (SHSD) linear programming (LP) interior point algorithm applied to the security constrained economic dispatch (SCED) problem. Unlike other interior point SCED applications that consider only the N security problem, this paper considers both (N-1) and (N-2) network security conditions. An important feature of the optimizing interior point LP algorithm is that it can detect infeasibility of the SCED problem reliably. This feature is particularly important in SCED applications since line overloading following a contingency often results in an infeasible schedule. The proposed method is demonstrated on the IEEE 24 bus test system and a practical 175 bus network. A comparison is carried out with the predictor-corrector interior point algorithm for the SCED problem presented previously (see ibid., vol. 12, no.2, p.803-10, 1997)
  • Keywords
    linear programming; load dispatching; power system economics; power system security; (N-1) network security conditions; (N-2) network security conditions; 175 bus network; IEEE 24 bus test system; homogeneous linear programming algorithm; interior point algorithm; line overloading; predictor-corrector interior point algorithm; security constrained economic dispatch problem; self-dual linear programming algorithm; Economic forecasting; Frequency; Linear programming; Load flow; Power generation economics; Power system security; Prediction algorithms; Propagation losses; System testing; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.871715
  • Filename
    871715