• DocumentCode
    68645
  • Title

    Operation Analysis of Fast Charging Stations With Energy Demand Control of Electric Vehicles

  • Author

    Pingyi Fan ; Sainbayar, Bilguun ; Shaolei Ren

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    6
  • Issue
    4
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    1819
  • Lastpage
    1826
  • Abstract
    For dc fast charging stations (FCS), short charging time duration is its main advantage over other ac charging stations. However, due to the characteristics of internal resistance of electric vehicle (EV) batteries, if charging request of an EV is near the full state of charge (SoC), its charging time increases significantly. In this paper, considering the impact of requested SoC on charging time, we propose an operation analysis of FCS, where operators of FCS can set a limit on the EVs´ requested SoC to obtain maximized revenue. We model the FCS operation as an M/G/S/K queue and incorporate the dc fast charging model into the queuing analysis, as well as the revenue model of FCS. Simulation results indicate that limiting the requested SoC in an overloaded condition at FCS can increase total charged energy and revenue of FCS, as well as decrease the probability of blocking arriving EVs.
  • Keywords
    battery powered vehicles; probability; queueing theory; secondary cells; M/G/S/K queue; dc fast charging stations; decrease blocking arriving EV probability; electric vehicle batteries; energy demand control; full state-of-charge; internal resistance characteristics; operation analysis; queuing analysis; revenue maximization; revenue model; short charging time duration; total charged energy; Analytical models; Approximation methods; Batteries; Charging stations; Limiting; Queueing analysis; System-on-chip; DC fast charging; electric vehicle (EV); queue analysis;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2015.2397439
  • Filename
    7042792