• DocumentCode
    3386469
  • Title

    Integration of surplus wind energy by controlled charging of electric vehicles

  • Author

    Mischinger, S. ; Hennings, W. ; Strunz, Kai

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Tech. Univ. Berlin, Berlin, Germany
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Electric vehicles in combination with intelligent charging algorithms are widely accepted to have the potential to enhance the share of renewable energies in the power system. Since wind energy is one of the most important renewable power sources in Germany, this paper projects available wind energy in the German transmission grid until 2030 and shows the ability of different electric vehicle fleet sizes to absorb surplus wind energy with respect to technical limits of the grid. Therefore, a model representing the German transmission grid in 2020 and 2030 has been built and different charging strategies have been applied. The results indicate that electric vehicle fleets have the potential to enhance the integration of wind energy in the transmission grid.
  • Keywords
    electric vehicles; power grids; wind power plants; German transmission grid; controlled charging strategy; electric vehicles; intelligent charging algorithms; power system; renewable energy; renewable power sources; surplus wind energy integration; Analytical models; Brain modeling; Electric vehicles; Load flow; Wind energy; Wind farms; Electric vehicles; energy management; energy storage; power transmission; wind energy generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
  • Conference_Location
    Berlin
  • ISSN
    2165-4816
  • Print_ISBN
    978-1-4673-2595-0
  • Electronic_ISBN
    2165-4816
  • Type

    conf

  • DOI
    10.1109/ISGTEurope.2012.6465795
  • Filename
    6465795