• DocumentCode
    718147
  • Title

    Optimal distribution of electric vehicle types for minimizing total CO2 emissions

  • Author

    Barazesh, Mohammadreza ; Saebi, Javad ; Hossein Javidi, D.B.M.

  • Author_Institution
    Power Syst. Studies & Restructuring Res. Lab. (PSRES Lab.) Fac. of Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
  • fYear
    2015
  • fDate
    10-14 May 2015
  • Firstpage
    1585
  • Lastpage
    1590
  • Abstract
    With the rapid growth of electric vehicles, power systems would face serious difficulties to supply the excessive electricity demand in the near future. In this paper, a planning method is introduced to prevent the environmental and technical issues that the introduction of electric vehicles may cause for nonsmart electricity grids. The idea of this method is to employ the differences between EV types in order to achieve the minimum total emission which is the sum of vehicles emission and power system emission. The proposed method considers the importance of decreasing urban area emission and determines the optimal number of every EV type. The IEEE RTS 24 system, and real world vehicle specifications is used to demonstrate the capability of the proposed method. Results suggest that for low daily trip distances, the best option depends on the priority of urban area emission reduction. On the other hand, for higher distances, the plug-in types would lead to lower total emissions.
  • Keywords
    air pollution control; electric vehicles; power system planning; IEEE RTS 24 system; carbon dioxide emission minimization; electric vehicle types distribution; low daily trip distances; nonsmart electricity grids; planning method; system emission; urban area emission; urban area emission reduction; vehicle specifications; vehicles emission; Batteries; Fossil fuels; Hybrid electric vehicles; Optimization; Power generation; Power systems; CO2 emissions; Hybrid Electric Vehicle; Plug-In Hybrid Electric Vehicle; Pure Electric Vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering (ICEE), 2015 23rd Iranian Conference on
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4799-1971-0
  • Type

    conf

  • DOI
    10.1109/IranianCEE.2015.7146472
  • Filename
    7146472