Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Digest of Technical Papers - IEEE International Conference on Consumer Electronics |
| Pages | 679-680 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 2011 Mar 28 |
| Event | 2011 IEEE International Conference on Consumer Electronics, ICCE 2011 - Las Vegas, NV, United States Duration: 2011 Jan 9 → 2011 Jan 12 |
Other
| Other | 2011 IEEE International Conference on Consumer Electronics, ICCE 2011 |
|---|---|
| Country | United States |
| City | Las Vegas, NV |
| Period | 11/1/9 → 11/1/12 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
Cite this
A queuing model with random interruptions for electric vehicle charging systems. / Baek, Seung Jun; Kim, Daehee; Oh, Seong-Jun; Jun, Jong Arm.
Digest of Technical Papers - IEEE International Conference on Consumer Electronics. 2011. p. 679-680 5722805.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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 - 2011/3/28
Y1 - 2011/3/28
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
SN - 9781424487127
SP - 679
EP - 680
BT - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ER -