• DocumentCode
    1418545
  • Title

    A strategy of load leveling by charging and discharging time control of electric vehicles

  • Author

    Koyanagi, Fumiko ; Uriu, Yoshihisa

  • Author_Institution
    Seikei Univ., Tokyo, Japan
  • Volume
    13
  • Issue
    3
  • fYear
    1998
  • fDate
    8/1/1998 12:00:00 AM
  • Firstpage
    1179
  • Lastpage
    1184
  • Abstract
    By ZEV regulation of the California government in 1992, not only The United States but also many developing countries are interested in replacing gasoline cars by electric vehicles (EV). The electric utility expects that the electric vehicle improves the difference between the daytime and nighttime of recent demand as a new market of electric power demand. There are some reports that indicate on the danger which generates the new peaks as the electric vehicles spread through the market in charging start hour. As a countermeasure for avoiding this problem, the authors propose that (1) the regional charging time shift method is introduced in the midnight charging time zone, and (2) inverse load flow by the discharge of the contract private use EV is carried out as an energy shift in daytime, in this paper. Therefore, the actual energy consumption of the automobile was investigated, and future demand is predicted by the mathematical consumption modeling. Especially, it shows a strategy of optimum introduction on scheme and rate of electric vehicle for effective energy shift. The authors point out the necessity of market regulation for an electric vehicle
  • Keywords
    electric vehicles; load flow; load forecasting; power consumption; charging start hour; charging time control; discharging time control; electric power demand; electric vehicles charging; electric vehicles discharging; energy consumption; inverse load flow; load leveling; market regulation; mathematical consumption modeling; midnight charging time zone; peak demand; regional charging time shift method; Automobiles; Contracts; Electric vehicles; Energy consumption; Load flow; Mathematical model; Petroleum; Power industry; Predictive models; US Government;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.709117
  • Filename
    709117