Matching theory based travel plan aware charging algorithms in V2G smart grid networks

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

*Corresponding author for this work

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

Abstract

The frequency, time and places of charging have large impact on the Quality of Experience (QoE) of EV drivers. It is critical to design effective EV charging scheduling system to improve the QoE of EV drivers. In order to improve EV charging QoE and utilization of CSs, we develop an innovative travel plan aware charging scheduling scheme for moving EVs to be charged at Charging Stations (CS). In the design of the proposed charging scheduling scheme for moving EVs, the travel routes of EVs and the utility of CSs are taken into consideration. The assignment of EVs to CSs is modeled as a two-sided many-to-one matching game with the objective of maximizing the system utility which reflects the satisfactory degrees of EVs and the profits of CSs. A Stable Matching Algorithm (SMA) is proposed to seek stable matching between charging EVs and CSs. Furthermore, an improved Learning based On-LiNe scheduling Algorithm (LONA) is proposed to be executed by each CS in a distributed manner. The performance gain of the average system utility by the SMA is up to 38.2% comparing to the Random Charging Scheduling (RCS) algorithm, and 4.67% comparing to Only utility of Electric Vehicle Concerned (OEVC) scheme. The effectiveness of the proposed SMA and LONA is also demonstrated by simulations in terms of the satisfactory ratio of charging EVs and the the convergence speed of iteration.

Original languageEnglish
Title of host publication2016 IEEE/CIC International Conference on Communications in China, ICCC 2016
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-5090-2143-7
DOIs
Publication statusPublished - 21 Oct 2016
Event2016 IEEE/CIC International Conference on Communications in China - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Conference

Conference2016 IEEE/CIC International Conference on Communications in China
Abbreviated titleICCC 2016
CountryChina
CityChengdu
Period27/07/1629/07/16

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Keywords

  • on-line scheduling
  • stable matching
  • traveling plan aware
  • vehicle-to-grid

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  • Cite this

    Zeng, M., Leng, S., He, J., Zhang, Y., & Qiao, G. (2016). Matching theory based travel plan aware charging algorithms in V2G smart grid networks. In 2016 IEEE/CIC International Conference on Communications in China, ICCC 2016 IEEE. https://doi.org/10.1109/ICCChina.2016.7636887