• DocumentCode
    107110
  • Title

    Impact of Wind-Based Distributed Generation on Electric Energy in Distribution Systems Embedded With Electric Vehicles

  • Author

    Abdelsamad, Sherif F. ; Morsi, Walid G. ; Sidhu, Tarlochan S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
  • Volume
    6
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan. 2015
  • Firstpage
    79
  • Lastpage
    87
  • Abstract
    In this paper, the synergy between wind-based distributed generation (DG) and plug-in electric vehicles (PEVs) is studied. MonteCarlo is used to address the uncertainties associated with wind speed variations and charging of PEVs hence simulating their impact at the distribution system (DS) level considering different DG penetration (up to 35%) and different PEV penetration (up to 50%). The excess in active/reactive power, energy exceeding normal (EEN), unserved energy (UE), and energy losses are investigated in this study. Forty-eight penetration scenarios involving DGs and PEVs are studied in this work and simulated in the IEEE 123-bus radial power distribution test system after modeling its secondary circuit in OpenDSS. The results of the simulation show that 30% wind-based DG penetration may be adequate to supply the active energy needed to charge PEVs. However, this might result in a reverse reactive power flow back to the substation.
  • Keywords
    Monte Carlo methods; distributed power generation; distribution networks; electric vehicles; wind power plants; IEEE 123-bus radial power distribution test system; Monte Carlo method; OpenDSS; PEV; electric energy; energy exceeding normal; energy losses; plug-in electric vehicles; reverse reactive power flow; substation; wind-based distributed generation; Batteries; Clustering algorithms; Electric vehicles; Indexes; Reactive power; Wind speed; Monte Carlo methods; MonteCarlo methods; wind energy; wind power generation;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2014.2356551
  • Filename
    6922582