• DocumentCode
    1778344
  • Title

    Charge control of plug-in electrical vehicles and revenue analysis

  • Author

    Chengcheng Shao ; Xifan Wang ; Chao Du

  • Author_Institution
    Dept. of Electr. Eng., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2014
  • fDate
    20-23 May 2014
  • Firstpage
    333
  • Lastpage
    337
  • Abstract
    Electrical vehicles (EVs) have appreciated much attention with the increasing pressure on the environment and energy supply. Considering that user gets revenue by arbitrage, we propose an optimal charge control model for plug-in Electric Vehicles to minimize user charge cost in an open and perfect electricity market. Based on the model, combining the analysis of the charge power demand, we calculate the user revenue expectancy of uncertain trips through the Monte Carlo Simulation and analyze the factors influencing the revenue. The results show that the arbitrage can raise user revenue significantly. In addition, price fluctuation has great effect on user revenue and price signals are able to adjust user charge/discharge scheme effectively.
  • Keywords
    Monte Carlo methods; battery powered vehicles; cost reduction; hybrid electric vehicles; minimisation; optimal control; power markets; pricing; Monte Carlo simulation; charge power demand; electricity market; optimal charge control model; plug-in electrical vehicle; price fluctuation; price signal; uncertain trips; user charge cost minimization; user charge-discharge scheme; user revenue expectancy; Asia; Batteries; Discharges (electric); Electricity; Fluctuations; Smart grids; Vehicles; Battery Characteristics; optimal charge control; price fluctuations; revenue analysis; user behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2014 IEEE
  • Conference_Location
    Kuala Lumpur
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2014.6873813
  • Filename
    6873813