• DocumentCode
    609379
  • Title

    Optimal power dispatch using BAT algorithm

  • Author

    Biswal, S. ; Barisal, A.K. ; Behera, A. ; Prakash, T.

  • Author_Institution
    Dept. of Electr. Eng., VSSUT, Burla, India
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    1018
  • Lastpage
    1023
  • Abstract
    Bat algorithm is a recent addition to the bioinspired algorithms, considered as a new metaheuristic algorithm based on Bat behaviour. This work presents, the optimal solution of economic load dispatch (ELD) is obtained using the proposed bat algorithm. Here the operating cost of a thermal power plant is optimized using Bat algorithm. Numerical results show that the proposed method has good convergence property and better in quality of solution than PSO and IWD reported in recent literature. The main advantage of the proposed technique is easy is implement and capable of finding feasible near global optimal solution with less computational effort. BAT algorithm is easy to implement and priory in terms of accuracy and efficiency compared to other algorithms. In order to illustrate the effectiveness of the proposed method, it has been tested on 3 and 6-unit system.
  • Keywords
    heuristic programming; optimisation; power generation dispatch; power generation economics; thermal power stations; BAT algorithm; ELD; IWD; PSO; bioinspired algorithms; economic load dispatch; metaheuristic algorithm; optimal power dispatch; particle swarm optimization; thermal power plant operating cost; Algorithm design and analysis; Convergence; Economics; Fuels; Generators; Optimization; Particle swarm optimization; Bat algorithm; Economic load dispatch; Mathematical modeling; Particle swarm optimization; Prohibited Zone; Valve point loading; power balance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Efficient Technologies for Sustainability (ICEETS), 2013 International Conference on
  • Conference_Location
    Nagercoil
  • Print_ISBN
    978-1-4673-6149-1
  • Type

    conf

  • DOI
    10.1109/ICEETS.2013.6533526
  • Filename
    6533526