• DocumentCode
    3080756
  • Title

    Emission dispatch solution using biogeography-based optimization with availability of wind power

  • Author

    Mondal, Sudipta ; Bhattacharya, Avik ; Dey, Sunita Halder Nee

  • Author_Institution
    Electr. Eng. Dept., Dr. B.C. Roy Eng. Coll., Durgapur, India
  • fYear
    2012
  • fDate
    7-9 Dec. 2012
  • Firstpage
    471
  • Lastpage
    475
  • Abstract
    In this paper a emission dispatch problem is solved to minimize the emission of oxides of nitrogen (NOx), considering both thermal generators and wind power source. Total overall cost of generation is taken as inequality constraint during the time of minimization of emission during optimization process. The effects of wind power to control overall NOx emission from thermal power plants are also investigated here. To find the optimum emission dispatch schedule, authors have applied Biogeography based optimization. Biogeography deals with the geographical distribution of biological species. Mathematical models of biogeography describe how a species arises, migrates from one habitat to another and gets wiped out. The results obtained using BBO show the efficiency of BBO algorithm to solve complex emission dispatch problems.
  • Keywords
    AC generators; air pollution control; optimisation; power generation dispatch; power generation scheduling; thermal power stations; wind power plants; NOx; biogeography mathematical models; biogeography-based optimization process; biological species geographical distribution; generation cost; nitrogen oxide emission; optimum emission dispatch schedule; thermal generators; thermal power plants; wind power availability; wind power source; Availability; Biogeography; Generators; Minimization; Optimization; Wind power generation; Wind turbines; Biogeography based optimization; Migration; Mutation; emission dispatch; fuel cost; wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2012 Annual IEEE
  • Conference_Location
    Kochi
  • Print_ISBN
    978-1-4673-2270-6
  • Type

    conf

  • DOI
    10.1109/INDCON.2012.6420664
  • Filename
    6420664