• DocumentCode
    623415
  • Title

    A novel power flow analysis for microgrid distribution system

  • Author

    Ting-Chia Ou ; Ta-Peng Tsao ; Whei-Min Lin ; Chih-Ming Hong ; Kai-Hung Lu ; Chia-Sheng Tu

  • Author_Institution
    Inst. of Nucl. Energy Res., Atomic Energy Council, Taoyuan, Taiwan
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    1550
  • Lastpage
    1555
  • Abstract
    A microgrid distribution system is proposed in the paper, consisting of solar power, wind power, microturbine power and a battery energy storage system (BESS). By using the proposed algorithm, a more efficient network configuration can be obtained. The problem is optimized in a stochastic searching manner similar to that of the evolutionary programming. A direct building algorithm for microgrid distribution power flow analysis is proposed in this paper. Simulation results show that the proposed algorithm has advantages than the earlier developed algorithms. The optimization strategy is general and can be used to solve other hybrid power system optimization problems as well.
  • Keywords
    battery management systems; distributed power generation; load flow; solar power; turbines; wind power; BESS; battery energy storage system; evolutionary programming; hybrid power system optimization problems; microgrid distribution power flow analysis; microturbine power; network configuration; solar power; stochastic searching manner; wind power; Educational institutions; Electrical engineering; Energy storage; Load flow analysis; Microgrids; Renewable energy sources; Microgrid; power flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-6320-4
  • Type

    conf

  • DOI
    10.1109/ICIEA.2013.6566614
  • Filename
    6566614