• DocumentCode
    1729234
  • Title

    A research on operation planning of Multi Smart Micro grid

  • Author

    Nagasaka, K. ; Ando, K. ; Xu, YB ; Takamori, H. ; Wang, J. ; Mitsuta, A. ; Saito, O. ; Go, E.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokyo Univ. of Agric. & Technol., Tokyo, Japan
  • fYear
    2012
  • Firstpage
    351
  • Lastpage
    356
  • Abstract
    This paper proposed a Multi Smart Micro grid (MSMG) model that combined power and heat. We obtained the optimization of the distributed generation operate planning, basing on demand forecasting, solar power forecasting and wind power forecasting by ANN. And we evaluated the model through economical efficiency, environment efficiency and energy conservation efficiency of the model. For obtaining the optimization result, an optimization method MINLP (Mixed Integral Non-linear Programming) was used. And an intelligent method GA (Genetic Algorithm) was used to solve the MINLP.
  • Keywords
    cogeneration; distributed power generation; energy conservation; genetic algorithms; integer programming; load forecasting; neural nets; nonlinear programming; power engineering computing; power generation planning; solar power stations; wind power plants; ANN; GA intelligent method; MINLP optimization method; MSMG model; combined power and heat; demand forecasting; distributed generation operate planning; economical efficiency; energy conservation efficiency; environment efficiency; genetic algorithm; mixed integral nonlinear programming; multismart micro grid; solar power forecasting; wind power forecasting; Genetic algorithms; Load modeling; Microwave integrated circuits; Optimization methods; Predictive models; Programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Mechatronic Systems (ICAMechS), 2012 International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    1756-8412
  • Print_ISBN
    978-1-4673-1962-1
  • Type

    conf

  • Filename
    6329602