• DocumentCode
    519071
  • Title

    Solving various types of economic dispatch problem using Bees algorithm

  • Author

    Tiacharoen, S. ; Potiya, S. ; Polratanasuk, P.

  • Author_Institution
    Dept. of Electr. Eng., North Eastern Univ., Khonkaen, Thailand
  • fYear
    2010
  • fDate
    19-21 May 2010
  • Firstpage
    617
  • Lastpage
    620
  • Abstract
    This paper presents an application of Bees Algorithm (BA) for solving various types of Economic Dispatch (ED) problem. Complete ED problem formulation prohibited, operating zones, ramp-rate limits, and non-smooth or non-convex cost functions arising from the use of multiple fuels should be taken into consideration. To show its efficiency, the Bee algorithm is applied to solve various types ED problems of power systems. The simulation results obtained from the BA are compared to those achieved from the conventional approaches, such as simulated annealing (SA) genetic algorithm (GA), tabu search (TS) algorithm and particle swarm optimization (PSO). The experimental results show that the BA approach is able to obtain higher quality solution efficiently and faster computational time than the conventional approaches.
  • Keywords
    genetic algorithms; load dispatching; particle swarm optimisation; power system economics; search problems; simulated annealing; Bees algorithm; economic dispatch problem; genetic algorithm; nonconvex cost functions; nonsmooth cost functions; operating zones; particle swarm optimization; power systems; ramp-rate limits; simulated annealing; tabu search algorithm; Computational modeling; Cost function; Fuel economy; Genetic algorithms; Particle swarm optimization; Power generation; Power generation economics; Power system economics; Power system simulation; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics Computer Telecommunications and Information Technology (ECTI-CON), 2010 International Conference on
  • Conference_Location
    Chaing Mai
  • Print_ISBN
    978-1-4244-5606-2
  • Electronic_ISBN
    978-1-4244-5607-9
  • Type

    conf

  • Filename
    5491414