Author_Institution :
State Key Lab. of Integrated Service Networks, Xidian Univ., Xi´an, China
Abstract :
Incorporating electric vehicles into smart grid, vehicle-to-Grid (V2G) makes it feasible to charge for large-scale electric vehicles, and in turn support electric vehicles, as mobile and distributed storage units, to discharge to smart grid. In order to provide reliable and efficient services, the operator of V2G networks needs to monitor real-time status of every plug-in electric vehicle (PEV) and then evaluate current electricity storage capability. Anonymity, aggregation and dynamic management are three basic but crucial characteristics of which the services of V2G networks should be. However, few of existing authentication schemes for V2G networks could satisfy them simultaneously. In this paper, we propose a secure and efficient authentication scheme with privacy-preserving for V2G networks. The scheme makes the charging/discharging station authenticate PEVs anonymously and manage them dynamically. Moreover, the monitoring data collected by the charging/discharging station could be sent to a local aggregator (LAG) in batch mode. In particular, time overheads during verification stage are independent with the number of involved PEVs, and there is no need to update the membership certificate and key pair before PEV logs out.
Keywords :
authorisation; data privacy; electric vehicles; smart power grids; LAG; V2G networks; anonymous authentication scheme; charging-discharging station; distributed storage units; electricity storage; large-scale electric vehicles; local aggregator; mobile storage units; plug-in electric vehicles; privacy preservation; smart grid; time overheads; vehicle-to-grid networks; verification stage; Authentication; Electric vehicles; Monitoring; Privacy; Smart grids; Vehicle dynamics; Vehicle-to-Grid (V2G) networks; anonymous authentication; revocable group signature; smart grid;