Dan, Mainak (Nanyang Technological University), Easwaran, Arvind (Nanyang Technological University)

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

Scheduled for presentation during the Regular Session "Electric Vehicles - Charging and Scheduling I" (WeAT3), Wednesday, September 25, 2024, 11:50−12:10, Salon 6

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on October 7, 2024

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%.