A Cooperative Bargaining Game Framework for Vehicle-to-Vehicle Energy Sharing and Trading at Charging Stations

Mainak Dan, Arvind Easwaran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Vehicle-to-vehicle (V2V) energy sharing emerges as a promising solution framework that allows electric vehicles (EVs) to exchange energy, thereby mitigating the strain on existing energy infrastructure, and ultimately reducing overall charging costs. In this research, we investigate a mixed-integer V2V energy exchange problem in the presence of a central aggregator that acts as a non-profit mediator. Subsequently, we construct a combined trading and charge scheduling framework employing the Nash bargaining solution method. The proposed cooperative framework relies on a hierarchical algorithmic strategy to address the energy exchange and payment bargaining game. We devise a decentralized approach using augmented Lagrangian and the alternating direction method of multipliers to achieve a mutually beneficial trading outcome. Through a numerical case study, we demonstrate that energy trading can potentially reduce the total operation cost by up to 14.23 % and interaction with the charging station by 5.48 %.

Original languageEnglish
Title of host publication2024 IEEE 27th International Conference on Intelligent Transportation Systems, ITSC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages96-103
Number of pages8
ISBN (Electronic)9798331505929
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024 - Edmonton, Canada
Duration: Sept 24 2024Sept 27 2024

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)2153-0009
ISSN (Electronic)2153-0017

Conference

Conference27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024
Country/TerritoryCanada
CityEdmonton
Period9/24/249/27/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

ASJC Scopus Subject Areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Keywords

  • alternating direction method of multipliers
  • augmented Lagrangian
  • dual decomposition
  • Electric vehicle
  • Nash bargaining solution
  • vehicle-to-vehicle energy ex-change

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