Dynamic demand balance in vehicle-to-grid mobile energy networks

Author

Zhong, Weifeng ; Yu, Rong ; Zhang, Yan ; Kang, Jiawen ; Zhang, Haochuan ; Xie, Shengli

Author_Institution

School of Automation, Guangdong University of Technology, China

fYear

2015

fDate

8-12 June 2015

Firstpage

5589

Lastpage

5594

Abstract

Vehicle-to-grid (V2G) technology enables bidirectional energy flow between electric vehicles (EVs) and grid, which provides powerful demand response, balancing the electricity demand and supply in smart grid. Mobility is the key feature of EVs, which is also a significant challenge for V2G systems. In order to model the EV mobility in V2G systems, we propose a complex networking modeling for V2G mobile energy network. Each district has a V2G system. EVs travel among different districts. The EV fleets transport energy and impact the V2G systems of districts. The theory of complex network synchronization is employed to analyze the dynamics of the mobile energy network. Numerical results show the energy transportation of EV fleets may achieve synchronous stability of demand level of different districts, balancing the demand response in the mobile energy network.

Keywords

Batteries; Complex networks; Mathematical model; Mobile communication; Mobile computing; System-on-chip; Tuning; EV fleet; Electric vehicles; battery pool; mobile energy network; smart grid; synchronization of complex network; vehicle-to-grid;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (ICC), 2015 IEEE International Conference on

Conference_Location

London, United Kingdom

Type

conf

DOI

10.1109/ICC.2015.7249213

Filename

7249213