DocumentCode
75524
Title
Integrated V2G, G2V, and Renewable Energy Sources Coordination Over a Converged Fiber-Wireless Broadband Access Network
Author
Da Qian Xu ; Joos, Geza ; Levesque, Martin ; Maier, Martin
Author_Institution
McGill Univ., Montréal, QC, Canada
Volume
4
Issue
3
fYear
2013
fDate
Sept. 2013
Firstpage
1381
Lastpage
1390
Abstract
In this paper, an integrated vehicle-to-grid, grid-to-vehicle, and renewable energy sources (IntVGR) coordination algorithm is proposed. The focus of this work is to provide a multidisciplinary study on implementing the proposed IntVGR scheme over a broadband fiber-wireless communications infrastructure by co-simulating both power and communications perspectives. For the power systems perspective, results show that the scheme is able to achieve a 21% reduction in peak demand compared to uncontrolled charging, and a better performance in flattening the overall demand profile and maintaining network constraints in comparison to a benchmark scenario. The scheme has also been demonstrated to successfully coordinate PEVs to take maximum utilization of local renewable energy. For the communications perspective, the measured upstream traffic for executing the proposed IntVGR scheme on a residential area of 342 households is found to be 1-2 Mbps with an end-to-end latency level of 1 ms. The scheme has also been validated from both perspectives in a sensitivity analysis with a higher PEV adoption rate.
Keywords
broadband networks; electric vehicles; renewable energy sources; wireless channels; G2V energy sources; IntVGR coordination; PEV; V2G energy sources; broadband fiber-wireless communications; fiber-wireless broadband access network; grid-to-vehicle energy sources; local renewable energy; renewable energy sources; residential area; upstream traffic; vehicle-to-grid energy sources; Batteries; Power grids; Renewable energy sources; Schedules; Scheduling algorithms; System-on-chip; Co-simulation; demand side management; plug-in electric vehicles; smart grid communications;
fLanguage
English
Journal_Title
Smart Grid, IEEE Transactions on
Publisher
ieee
ISSN
1949-3053
Type
jour
DOI
10.1109/TSG.2013.2253337
Filename
6519340
Link To Document