• DocumentCode
    724512
  • Title

    An economic dispatch model based on scenario tree in industrial micro-grid with wind power

  • Author

    Hao Ding ; Feng Gao ; Kun Liu ; Xiaohong Guan

  • Author_Institution
    State Key Lab. for Manuf. Syst. Eng., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5028
  • Lastpage
    5033
  • Abstract
    Wind power is a kind of clean and renewable energy, and it is of great benefit to utilize it in an industrial micro-grid. This paper establishes an economic dispatch model of industrial micro-grid with wind power that aims at minimizing energy costs based on scenario tree. The uncertainty of wind power and load are managed by adjusting the production schedule and unit generation schedule properly. A numerical test is taken with data of an industrial micro-grid in the paper, and the result indicates that the fluctuation of wind power and load can be mitigated by production and power generation schedule effectively and utilizing wind power can help decrease the energy costs largely. The model is also compared with the deterministic model, and some conclusions are obtained.
  • Keywords
    distributed power generation; load management; power generation dispatch; power generation scheduling; power grids; trees (mathematics); wind power; clean energy; energy cost minimization; industrial microgrid economic dispatch model; load management; numerical test; power generation scheduling; production scheduling; renewable energy; scenario tree; unit generation scheduling; wind power uncertainty; Economics; Load modeling; Logic gates; Production; Schedules; Thermal loading; Wind power generation; economic dispatch; industrial micro-grid; scenario tree; wind power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162824
  • Filename
    7162824