• DocumentCode
    1324349
  • Title

    Discussion of “An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems”

  • Author

    Selvakumar, A. Immanuel

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Karunya Univ., Coimbatore, India
  • Volume
    25
  • Issue
    4
  • fYear
    2010
  • Firstpage
    2009
  • Lastpage
    2009
  • Abstract
    Summary form only given. In this paper, the authors have mentioned that their constraint-handling technique improves the solution quality without sacrificing the computational effort for nonconvex economic dispatch problems. Nevertheless, there is no validation for this statement. For the Korean power system, the authors have used the result of the nonlinear programming approach to validate the proposed IPSOs. Test system 2 can also be solved by the mixed integer quadratic programming (MIQP) approach. Since mathematical programming (MP) approaches provide guaranteed convergence, they can be taken as the benchmark.
  • Keywords
    integer programming; load dispatching; particle swarm optimisation; quadratic programming; constraint-handling technique; mixed integer quadratic programming; nonconvex economic dispatch problems; nonlinear programming; particle swarm optimization; Optimization; Particle swarm optimization; Power generation; Power system economics;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2010.2069870
  • Filename
    5571031