• DocumentCode
    3091452
  • Title

    Monte Carlo simulation on the demand impact by quick chargers for electric vehicles

  • Author

    Koyanagi, F. ; Inuzuka, T. ; Uriu, Y. ; Yokoyama, R.

  • Author_Institution
    Seikei Univ., Tokyo, Japan
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1031
  • Abstract
    This paper presents a scheme of predicting the impact on the electric demand which may appear as random harmonics with respect to quick charging for widespread electric vehicles (EV). It is known that the battery charging for EV provides a potential problem to power distribution systems. The aims of this work are: (1) to make clear the influence of quick charging on power distribution system, and (2) to assess the optimal penetration level for load leveling to avoid a serious impact of harmonics. Ordinary quick charging will take place at lunch time according to the drivers psychology. This profile can be expressed by the normal probabilistic distribution function. If the penetration level of EV is accelerated, the profiles will appear randomly on the electric demand. Hence we can derive these impacts on power demand by the well-known Monte Carlo simulation. The proposed approach has been verified on a practical ten-machines and 47-buses test system
  • Keywords
    Monte Carlo methods; battery chargers; distribution networks; electric vehicles; load (electric); power system harmonics; probability; 47-buses test system; Monte Carlo simulation; battery charging; demand impact; electric vehicles; load factor; load leveling; normal probabilistic distribution function; power distribution systems; quick chargers; random harmonics; ten-machines test system; Batteries; Distribution functions; Electric vehicles; Inverters; Power distribution; Power system analysis computing; Power system harmonics; Power system modeling; Power system simulation; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Summer Meeting, 1999. IEEE
  • Conference_Location
    Edmonton, Alta.
  • Print_ISBN
    0-7803-5569-5
  • Type

    conf

  • DOI
    10.1109/PESS.1999.787457
  • Filename
    787457