• DocumentCode
    537758
  • Title

    Optimal operation for diesel generators in small isolated island power system cosidering controllable load

  • Author

    Asato, Bungo ; Uchida, Kosuke ; Goya, Tomonori ; Senjyu, Tomonobu ; Yona, Atsushi ; Urasaki, Naomitsu

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of the Ryukyus, Okinawa, Japan
  • fYear
    2010
  • fDate
    10-13 Oct. 2010
  • Firstpage
    1869
  • Lastpage
    1872
  • Abstract
    Recently, operational cost for diesel generator such as fossil cost, transport cost, and storage cost are expensive in isolated island. Consequently, renewable energy generation is advanced in the world. Furthermore, all-electric house and electric vehicle carrying a storage battery is increasing. Controllable load in the grid can be installed using all-electric house and electric vehicle carrying a storage battery. In this paper, we propose an optimization approach to determine operational planning of wind generator, photovoltaic facility, diesel generator, and battery energy storage-system. In this optimization method, forecasted output power data of wind generator, photovoltaic facility, and controllable load are assumed to be available for all day which is utilized in operational planning of wind generator, photovoltaic facility, diesel generator, and battery energy storage-system. As the optimization method, genetic algorithm and tabu search are used in this paper.
  • Keywords
    battery powered vehicles; battery storage plants; diesel-electric generators; genetic algorithms; renewable energy sources; search problems; wind power plants; all-electric house vehicle; battery energy storage system; battery storage cost; controllable load; diesel generator operation; fossil cost; genetic algorithm; operational planning; optimization approach; optimization method; photovoltaic facility; renewable energy generation; small isolated island power system; tabu search; transport cost; wind generator; Batteries; Generators; Photovoltaic systems; Power systems; Renewable energy resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems (ICEMS), 2010 International Conference on
  • Conference_Location
    Incheon
  • Print_ISBN
    978-1-4244-7720-3
  • Type

    conf

  • Filename
    5663299