• DocumentCode
    1643959
  • Title

    Quantifying the long-term power system benefits of electric vehicles

  • Author

    Shortt, Aonghus ; O´Malley, Mark

  • Author_Institution
    Sch. of Electr., Electron. & Mech. Eng., Univ. Coll. Dublin, Dublin, Ireland
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The re-emergence of battery electric vehicles presents a potentially vast flexible resource to the power system at a time when renewable generation is pushing the ability of power systems to respond to increased levels of variability in production. Large installed quantities of wind and solar power in certain systems will cause changes in the operation of conventional generators that, over time, will reduce the economic feasibility of cost-effective but inflexible forms of generation. This can be avoided if electric vehicles can be used to mitigate the overall level of system variability by charging at times when production by conventional generators is at its lowest. This paper presents a methodology for determining the degree to which electric vehicles will influence future generation plant investment and a means of calculating the reduction in total system costs owing to the presence of optimally charged electric vehicles. This model is applied to a test system based on the state of Texas. It is found that the long-term benefits of electric vehicles are significant and continue to increase for all vehicle penetration levels studied. However, the relationship between levels of installed variable renewables and electric vehicle benefit was found to be highly dependent on the extent to which both of these parameters influenced the least-cost plant portfolio.
  • Keywords
    distributed power generation; electric vehicles; investment; power generation economics; Texas; battery electric vehicles; generation plant investment; least-cost plant portfolio; long-term power system; optimally charged electric vehicles; power systems; renewable generation; solar power; vehicle penetration levels; wind power; Coal; Electric vehicles; Generators; Portfolios; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-2158-8
  • Type

    conf

  • DOI
    10.1109/ISGT.2012.6175745
  • Filename
    6175745