• DocumentCode
    3487806
  • Title

    Optimal operational planning for cogeneration system using particle swarm optimization

  • Author

    Tsukada, Tatsuya ; Tamura, Takuya ; Kitagawa, Shinji ; Fukuyama, Yoshikazu

  • Author_Institution
    Frontier Res. Inst., Tokyo Gas Co. Ltd., Yokohama, Japan
  • fYear
    2003
  • fDate
    24-26 April 2003
  • Firstpage
    138
  • Lastpage
    143
  • Abstract
    This paper proposes optimal operational planning for a cogeneration system (CGS) using particle swarm optimization (PSO). CGS is usually connected to various facilities such as refrigerators, reservoirs, and cooling towers. In order to generate optimal operational planning for CGS, startup and shutdown status, and input values of the facilities for each control interval should be determined. The facilities may have nonlinear input-output characteristics. Therefore, the problem can be formulated as a mixed-integer nonlinear optimization problem (MINLP). PSO can be easily expanded to treat MINLP. The simple expansion of PSO for the optimal generation system operational planning problem is proposed and the proposed method is applied to typical CGS planning problems with promising results.
  • Keywords
    cogeneration; evolutionary computation; facilities planning; integer programming; load forecasting; nonlinear programming; power system analysis computing; CGS; MINLP; PSO; cogeneration system; cooling towers; facilities; input values; mixed-integer nonlinear optimization problem; nonlinear input-output characteristics; optimal operational planning; particle swarm optimization; refrigerators; reservoirs; shutdown status; startup status; Carbon capture and storage; Cogeneration; Content addressable storage; Cooling; Fuels; Optimal control; Particle swarm optimization; Poles and towers; Refrigerators; Reservoirs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Swarm Intelligence Symposium, 2003. SIS '03. Proceedings of the 2003 IEEE
  • Print_ISBN
    0-7803-7914-4
  • Type

    conf

  • DOI
    10.1109/SIS.2003.1202259
  • Filename
    1202259