A queuing model with random interruptions for electric vehicle charging systems

Seung Jun Baek; Daehee Kim; Seong Jun Oh; Jong Arm Jun

doi:10.1109/ICCE.2011.5722805

A queuing model with random interruptions for electric vehicle charging systems

Seung Jun Baek, Daehee Kim, Seong Jun Oh, Jong Arm Jun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

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	2011 IEEE International Conference on Consumer Electronics, ICCE 2011
Pages	679-680
Number of pages	2
DOIs	https://doi.org/10.1109/ICCE.2011.5722805
Publication status	Published - 2011
Event	2011 IEEE International Conference on Consumer Electronics, ICCE 2011 - Las Vegas, NV, United States Duration: 2011 Jan 9 → 2011 Jan 12

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)	0747-668X

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

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

Access to Document

10.1109/ICCE.2011.5722805

Fingerprint Dive into the research topics of 'A queuing model with random interruptions for electric vehicle charging systems'. Together they form a unique fingerprint.

Cite this

A queuing model with random interruptions for electric vehicle charging systems. / Baek, Seung Jun; Kim, Daehee; Oh, Seong Jun; Jun, Jong Arm.

2011 IEEE International Conference on Consumer Electronics, ICCE 2011. 2011. p. 679-680 5722805 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Baek, SJ, Kim, D, Oh, SJ & Jun, JA 2011, A queuing model with random interruptions for electric vehicle charging systems. in 2011 IEEE International Conference on Consumer Electronics, ICCE 2011., 5722805, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, pp. 679-680, 2011 IEEE International Conference on Consumer Electronics, ICCE 2011, Las Vegas, NV, United States, 11/1/9. https://doi.org/10.1109/ICCE.2011.5722805

@inproceedings{ab7fd51fb8214d47842d124d4afeaece,

title = "A queuing model with random interruptions for electric vehicle charging systems",

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.",

author = "Baek, {Seung Jun} and Daehee Kim and Oh, {Seong Jun} and Jun, {Jong Arm}",

year = "2011",

doi = "10.1109/ICCE.2011.5722805",

language = "English",

isbn = "9781424487127",

series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

pages = "679--680",

booktitle = "2011 IEEE International Conference on Consumer Electronics, ICCE 2011",

note = "2011 IEEE International Conference on Consumer Electronics, ICCE 2011 ; Conference date: 09-01-2011 Through 12-01-2011",

}

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 -

A queuing model with random interruptions for electric vehicle charging systems

Abstract

Publication series

Other

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Cite this