• DocumentCode
    260202
  • Title

    Solution to economic dispatch problem with valve-point loading effect using IPSO algorithm

  • Author

    Khaleghi, Sadegh ; Moghaddam, Reihane Kardehi ; Mousavi, Amir Ebrahimi ; Ghahremani, Elnaz

  • Author_Institution
    Dept. of Electr. Eng., Islamic Azad Univ., Mashhad, Iran
  • fYear
    2014
  • fDate
    26-27 Nov. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper involves a novel application of the improved particle swarm optimization (IPSO) in an economic dispatch problem (EDP) that consists influence of valve-point loading, power balance, and generators constraints. This method is able to improve the best value of the cost function with a slight increase in the average time trials. This procedure is suitable for solving large-scale and complex economic dispatch problems. In this report, IPSO algorithm is tested on three systems and experimental results are compared with other efficient methods. Simulation results demonstrate the efficiency of proposed algorithms for solving economic dispatching problems.
  • Keywords
    dispatching; particle swarm optimisation; power system economics; IPSO; economic dispatch problem; generators constraints; improved particle swarm optimization; power balance; valve-point loading; Algorithm design and analysis; Convergence; Cost function; Economics; Linear programming; Loading; Economic dispatch; IPSO; Optimization; Valve point loading;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technology, Communication and Knowledge (ICTCK), 2014 International Congress on
  • Conference_Location
    Mashhad
  • Type

    conf

  • DOI
    10.1109/ICTCK.2014.7033507
  • Filename
    7033507