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
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;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2015.2397439