TY - GEN
T1 - A queuing model with random interruptions for electric vehicle charging systems
AU - Baek, Seung Jun
AU - Kim, Daehee
AU - Oh, Seong Jun
AU - Jun, Jong Arm
PY - 2011
Y1 - 2011
N2 - We consider a queuing model with applications to electric vehicle (EV) charging systems in smart grids. We adopt a scheme where Electric Service Company (ESCo) broadcasts one bit signal to consumers indicating on-peak periods for the grid. EVs randomly suspend/resume charging based on the signal. To model the dynamics of the population of EVs we analyze an M/M/∞ queue with random interruptions, and propose estimates using time-scale decomposition. Using the estimates we show how ESCo can optimally adjust the indicator signal so as to minimize the mean number of charging EVs during the actual on-peak periods. Next we consider the case where EVs respond to the signal based on the individual loads. Simulation results show that performance is improved if the EVs carrying higher loads are less sensitive to the on-peak indicator signal.
AB - We consider a queuing model with applications to electric vehicle (EV) charging systems in smart grids. We adopt a scheme where Electric Service Company (ESCo) broadcasts one bit signal to consumers indicating on-peak periods for the grid. EVs randomly suspend/resume charging based on the signal. To model the dynamics of the population of EVs we analyze an M/M/∞ queue with random interruptions, and propose estimates using time-scale decomposition. Using the estimates we show how ESCo can optimally adjust the indicator signal so as to minimize the mean number of charging EVs during the actual on-peak periods. Next we consider the case where EVs respond to the signal based on the individual loads. Simulation results show that performance is improved if the EVs carrying higher loads are less sensitive to the on-peak indicator signal.
UR - http://www.scopus.com/inward/record.url?scp=79952932786&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952932786&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2011.5722805
DO - 10.1109/ICCE.2011.5722805
M3 - Conference contribution
AN - SCOPUS:79952932786
SN - 9781424487127
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
SP - 679
EP - 680
BT - 2011 IEEE International Conference on Consumer Electronics, ICCE 2011
T2 - 2011 IEEE International Conference on Consumer Electronics, ICCE 2011
Y2 - 9 January 2011 through 12 January 2011
ER -
