• DocumentCode
    2366637
  • Title

    Multi-objective Environmental/Economic Dispatch using firefly technique

  • Author

    Abedinia, O. ; Amjady, Nima ; Naderi, M.S.

  • Author_Institution
    Electr. Eng. Dept., Semnan Univ., Semnan, Iran
  • fYear
    2012
  • fDate
    18-25 May 2012
  • Firstpage
    461
  • Lastpage
    466
  • Abstract
    This paper a Multi-objective Firefly Algorithm (MOFA) is proposed for Environmental/ Economic Power Dispatch (EED) problem. Due to the environmental concerns that arise from the emissions produced via fossil-fueled electric power plants, the classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be considered alone. Actually, EED problem is the scheduling of generators which fulfill the load demand of the power plants using fossil fuel and also making combined production, in order for them to perform with minimum cost and emission. Therefore, by EED, emissions can be reduced by dispatch of power generation to minimize emissions. Which is affect on power generated, system loads, fuel cost and emission coefficients in real-world situations. The MOFA technique has been carried out on the IEEE 30- and 118-bus test system. This technique is compared with other techniques which reveals the superiority of the proposed approach and confirms its potential for solving other power systems problems.
  • Keywords
    IEEE standards; air pollution control; fossil fuels; power generation dispatch; power generation economics; thermal power stations; EED problem; IEEE 118-bus test system; IEEE 30-bus test system; MOFA; environmental-economic power generation dispatch problem; fossil-fueled electric power plant; generator scheduling; load demand; multiobjective firefly algorithm; total fuel cost minimization; Economics; Fires; Fuels; Generators; Optimization; Power systems; Propagation losses; EED; MOFA; Minimum cost and emission; Multi-objective problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-1-4577-1830-4
  • Type

    conf

  • DOI
    10.1109/EEEIC.2012.6221422
  • Filename
    6221422