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 proceedingConference 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 languageEnglish
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Pages679-680
Number of pages2
DOIs
Publication statusPublished - 2011 Mar 28
Event2011 IEEE International Conference on Consumer Electronics, ICCE 2011 - Las Vegas, NV, United States
Duration: 2011 Jan 92011 Jan 12

Other

Other2011 IEEE International Conference on Consumer Electronics, ICCE 2011
CountryUnited States
CityLas Vegas, NV
Period11/1/911/1/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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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