• DocumentCode
    1867299
  • Title

    Multi-period generation expansion planning using Genetic Algorithm

  • Author

    Jalilzadeh, Saeid ; Shabani, Arash ; Azadru, Alahverdi

  • fYear
    2010
  • fDate
    18-20 Oct. 2010
  • Firstpage
    358
  • Lastpage
    363
  • Abstract
    In this paper, a model for multi-period generation expansion planning (GEP) is presented. The proposed model is able to present a clear perspective to government for investment in generation. Some limits in fuel and environmental emission are also considered. Genetic Algorithm (GA) is used to optimize the results. Finally, the feasibility of this approach is demonstrated using a test power system.
  • Keywords
    genetic algorithms; power generation economics; power generation planning; GEP; environmental emission; genetic algorithm; multiperiod generation expansion planning; power system test; Fuels; Gallium; Government; Investments; Planning; Power transmission lines; Genetic algorithm; Multi-period GEP; environmental emission; fuel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2010 International Congress on
  • Conference_Location
    Moscow
  • ISSN
    2157-0221
  • Print_ISBN
    978-1-4244-7285-7
  • Type

    conf

  • DOI
    10.1109/ICUMT.2010.5676613
  • Filename
    5676613