• DocumentCode
    1536497
  • Title

    Improved interior point method for OPF problems

  • Author

    Momoh, J.A. ; Zhu, J.Z.

  • Author_Institution
    Dept. of Electr. Eng., Howard Univ., Washington, DC, USA
  • Volume
    14
  • Issue
    3
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    1114
  • Lastpage
    1120
  • Abstract
    Since conventional optimal power flow (OPF) algorithms are limited and too slow for operational planning, power system operation and planning engineers have been seeking efficient OPF algorithms for three decades. The interior point method is one of the most efficient algorithms. In this paper, an improved quadratic interior point (IQIP) method is used to solve comprehensive OPF problems with a variety of objective functions, including economic dispatch, VAr planning and loss minimization. The IQIP method features a general starting point (rather than selected good point as in the general interior point method) and fast convergence. Consequently, the OPF package described in this paper offers huge improvements in speed, accuracy and convergence in solving multi-objective and multi-constraint optimization problems. It will be a very useful tool for the power industry
  • Keywords
    load flow control; optimal control; power system control; power system planning; VAr planning; convergence; economic dispatch; improved interior point method; loss minimization; multi-constraint optimization; multi-objective optimization; objective functions; operational planning; optimal power flow problems; power industry; power system operation; power system planning; Convergence; Load flow; Minimization methods; Packaging; Power engineering and energy; Power generation economics; Power industry; Power system economics; Power system planning; Reactive power;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.780938
  • Filename
    780938