Abstract

Carsharing systems are adopting electric vehicles into their fleets and may therefore be able to provide not only transportation services to drivers/passengers but also energy services to the power grid through appropriate participation in electricity markets. This paper develops a queuing model of such carsharing platforms where cars may be deployed for transportation services at a given price, but also for grid services during transportation-idle periods through energy price arbitrage. The model provides a characterization of revenue from each of these two streams. The paper further finds optimal pricing and battery splitting to maximize revenue for the carsharing platform, via an analysis of the reward structure and an optimization algorithm. Platform revenue is assessed for various system parameters under optimal operation.

Original languageEnglish (US)
Title of host publication2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728111513
DOIs
StatePublished - Apr 16 2019
Event53rd Annual Conference on Information Sciences and Systems, CISS 2019 - Baltimore, United States
Duration: Mar 20 2019Mar 22 2019

Publication series

Name2019 53rd Annual Conference on Information Sciences and Systems, CISS 2019

Conference

Conference53rd Annual Conference on Information Sciences and Systems, CISS 2019
Country/TerritoryUnited States
CityBaltimore
Period3/20/193/22/19

Keywords

  • Electric vehicles
  • queuing networks
  • revenue maximization
  • sharing economy
  • transportation

ASJC Scopus subject areas

  • Information Systems

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