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

Department of Computer Science and Engineering

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	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
Pages	679-680
Number of pages	2
DOIs	https://doi.org/10.1109/ICCE.2011.5722805
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

ASJC Scopus subject areas

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

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10.1109/ICCE.2011.5722805

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Cite this

Baek, S. J., Kim, D., Oh, S-J., & Jun, J. A. (2011). A queuing model with random interruptions for electric vehicle charging systems. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics (pp. 679-680). [5722805] https://doi.org/10.1109/ICCE.2011.5722805

Baek, SJ, Kim, D, Oh, S-J & Jun, JA 2011, A queuing model with random interruptions for electric vehicle charging systems. in Digest of Technical Papers - IEEE International Conference on Consumer Electronics., 5722805, 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

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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.",

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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.

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