• DocumentCode
    1778056
  • Title

    Optimal dispatch of battery storage in an industrial microgrid with a mixed portfolio of renewables

  • Author

    Shi You ; Yi Zong ; Bindner, Henrik W. ; Jin Lin ; Yu Cai ; Yonghua Song

  • Author_Institution
    Dept. of EE, Tech. Univ. of Denmark, Lyngby, Denmark
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    3378
  • Lastpage
    3383
  • Abstract
    Local brownouts are a nuisance and have driven consumers to take greater responsibility for their electricity supply-particularly industries and communities with a critical need for reliable and safe power. In this paper, an optimal dispatch solution is developed for a battery storage system applied in a real industrial Microgrid which has a mixed portfolio of renewables. By applying a model predictive control (MPC)-based dispatch strategy with multi-period AC optimal power flow (AC-OPF) consideration, trade-offs among multiple objectives of the industrial Microgrid, such as economic operation, reduction of power feed-back and improving the voltage quality etc., are balanced. Simulations are presented to demonstrate the proposed approach and to verify its effectiveness.
  • Keywords
    battery storage plants; distributed power generation; load flow; power generation dispatch; predictive control; AC-OPF; MPC-based dispatch strategy; battery storage system; electricity supply; model predictive control-based dispatch strategy; multiperiod AC optimal power flow; optimal dispatch solution; real industrial microgrid; Batteries; Economics; Electricity; Forecasting; Microgrids; Production; Voltage control; MPC; battery storage; industrial Microgrid; multi-period AC-OPF; multiple objectives; optimal dispatch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2014 International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/POWERCON.2014.6993971
  • Filename
    6993971