• DocumentCode
    157036
  • Title

    A multi-level service restoration strategy of distribution network considering microgrids and electric vehicles

  • Author

    Hongjie Jia ; Xiaolong Jin ; Yunfei Mu ; Xiaodan Yu

  • Author_Institution
    Key Lab. of Smart Grid of Minist. of Educ., Tianjin Univ., Tianjin, China
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The increasingly serious energy crisis and environmental pollution problems promote the large-scale application of microgrids (MGs) and electric vehicles (EVs). As the main carrier of MGs and EVs, distribution network is gradually presenting multi-source and active characteristics. A multi-level service restoration strategy of distribution network with MGs and EVs is proposed in this paper, which makes full use of the power supply capability from MGs and EVs. An optimal power flow (OPF) model is constructed to minimize the network loss after the service restoration. The proposed service restoration method is verified by applying a single fault on a modified IEEE distribution system with three-feeder and eighteen nodes containing MGs and EVs, which shows its feasibility and effectiveness.
  • Keywords
    distributed power generation; distribution networks; electric vehicles; load flow; power supply quality; power system restoration; active characteristics; distribution network; electric vehicles; energy crisis; environmental pollution problems; microgrids; modified IEEE distribution system; multilevel service restoration strategy; multisource characteristics; network loss; optimal power flow model; power supply capability; Equations; Genetic algorithms; Load flow; Load modeling; Mathematical model; Simulation; System-on-chip; Distribution Network; Electric vehicles (EVs); Microgrids (MGs); Optimal power flow (OPF); Service restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Green Building and Smart Grid (IGBSG), 2014 International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/IGBSG.2014.6835266
  • Filename
    6835266