Matching game approach for charging scheduling in vehicle-to-grid networks

Guanhua Qiao, Supeng Leng*, Ming Zeng, Yan Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper study a new paradigm of heterogeneous charging stations (CSs) for the excellent charging services of Electric Vehicles (EVs) in a dense urban environment. When a large number of EVs are driving on the roads, their travel demands and charging activities have significant impact on the charging management of multiple CSs including large-CSs (LCSs) and small-CSs (SCSs). The problem of charging scheduling can be formulated as a two-side Hospital/Residents (HR) matching game. In this matching game, we not only consider the economic interest of multiple CSs and charging experience of EVs but also utilize the natural advantages of SCSs to balance the traffic on the roads around LCSs. Furthermore, a two-stage scheme that is composed of distributed HR admission scheme and centralized HR reassignment scheme is proposed to reduce the computational complexity of the matching process. Simulation results indicate that the proposed algorithms can effectively offer the scheduling management among multiple CSs while providing good satisfaction to EV drivers.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
EditorsMerouane Debbah, David Gesbert, Abdelhamid Mellouk
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
DOIs
Publication statusPublished - 28 Jul 2017
Externally publishedYes
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: 21 May 201725 May 2017

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference2017 IEEE International Conference on Communications, ICC 2017
Country/TerritoryFrance
CityParis
Period21/05/1725/05/17

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