• DocumentCode
    1596789
  • Title

    Particle Swarm Optimization scheme for the solution of Economic Dispatch

  • Author

    Thenmalar, K. ; Allirani, A.

  • Author_Institution
    Department of Electrical and Electronics Engineering, Vivekanandha College of Engg. for Women, India
  • fYear
    2013
  • Firstpage
    143
  • Lastpage
    147
  • Abstract
    Economic Dispatch is an important optimization task in power system. It is the process of allocating generation among the committed units such that the constraints imposed are satisfied and the energy requirements are minimized. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. Here, an attempt has been made to find out the minimum cost by using Particle Swarm Optimization (PSO) Algorithm using the data of three generating units. In this work, data has been taken such as the loss coefficients with the max-min power limit and cost function. PSO is applied to find out the minimum cost for different power demand. When the results are compared with the traditional technique, PSO seems to give a better result with better convergence characteristic. All the techniques are implemented in MATLAB environment.
  • Keywords
    Annealing; Economics; Equations; Genetics; Mathematical model; Economic Dispatch; Particle Swarm Optimization; Prohibited Zones; Ramp Rate Limits; Simulated Annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Control (ISCO), 2013 7th International Conference on
  • Conference_Location
    Coimbatore, Tamil Nadu, India
  • Print_ISBN
    978-1-4673-4359-6
  • Type

    conf

  • DOI
    10.1109/ISCO.2013.6481138
  • Filename
    6481138