On the values of vehicle-To-grid electricity selling in electric vehicle sharing

Yiling Zhang, Mengshi Lu, Siqian Shen

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Problem definition: We study electric vehicle (EV) sharing systems and explore the opportunity for incorporating vehicle-To-grid (V2G) electricity selling in EV sharing. Academic/practical relevance: The problem involves complex planning and operational decisions, as well as multiple sources of uncertainties. The related optimization models impose significant computational challenges. The potential value of V2G integration may have far-reaching impacts on EV sharing and sustainability. Methodology: We formulate the problem as a two-stage stochastic integer linear program. In the first stage, we optimize decisions related to service planning, the capacity of parking and charging facilities, EV battery capacities, and EV allocation in each zone under uncertain time-dependent trip demand and electricity prices. In the second stage, for a realized demand price scenario, we construct a time-And-charging-status expanded transportation network and optimize operations of the shared vehicle fleet, EV battery charging, and V2G selling. We develop Benders decomposition and scenario decomposition approaches to improve computational efficiency. A linear-decision-rule-based approximation approach is also provided to model dynamic operations. Results: Via testing instances based on real-world and synthetic data, we demonstrate the computational efficacy of our approaches and study the benefits of integrating V2G in EV sharing from the service provider, consumer, and socioenvironmental aspects. Managerial implications: V2G integration can significantly increase the profitability of EV sharing and the quality of service. It results in the preference of larger EV fleets and battery capacities, which further leads to various socioenvironmental benefits. The benefit of V2G can still prevail, even with more severe battery degradation and can be more significant when combined with (i) more stringent service levels, (ii) more traffic congestion, or (iii) urban spatial structures with concentrated business/residential areas. V2G integration (complemented by fast charging technology) can also benefit carshare users through improvement in the quality of service.

Original languageEnglish (US)
Pages (from-to)488-507
Number of pages20
JournalManufacturing and Service Operations Management
Volume23
Issue number2
DOIs
StatePublished - Mar 30 2020

Bibliographical note

Funding Information:
Funding: This work was supported by the National Science Foundation [Grants CMMI-1727618, CMMI-1727478, and ECCS-1709094]. Supplemental Material: The online appendices are available at https://doi.org/10.1287/msom.2019.0855.

Funding Information:
The authors are grateful for constructive feedback and suggestions given by reviewers and the Associate Editor. The authors are grateful for support from the National Science Foundation.

Publisher Copyright:
© 2021 INFORMS Inst.for Operations Res.and the Management Sciences. All rights reserved.

Keywords

  • decomposition algorithms
  • electric vehicle sharing
  • energy systems
  • stochastic integer programming
  • sustainable transportation
  • vehicle-To-grid

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