Abstract | ||
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In this work, we propose a strategy for managing the charging of plug-in electric vehicles (PEVs) that simultaneously avoids overloads and provides demand-based allocation of power distribution resources. The strategy leverages (1) a `power packet' approach which allocates charging for finite lengths of time and (2) a locally defined automaton where a user's `urgency' sets the request rate for charging. The charge management strategy requires very little communications between the PEV charger and the power distribution system. Furthermore, the system's charge manager is blind to which PEV is making the request thereby ensuring fairness and privacy. The work details possible implementations of the approach and illustrates the methodology through simulations. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/ISGTEurope.2012.6465629 | Innovative Smart Grid Technologies |
Keywords | Field | DocType |
battery powered vehicles,power distribution,PEV charging,demand-based allocation,plug-in electric vehicle charging,power distribution resources,power distribution system,urgency-driven electric vehicle charging,user urgency sets,battery charging,load management,media access control,plug-in electric vehicles | Electric vehicle,Automaton,Network packet,Distribution system,Implementation,Management strategy,Engineering,Plug-in,Online charging system,Distributed computing,Embedded system | Conference |
ISSN | ISBN | Citations |
2165-4816 E-ISBN : 978-1-4673-2596-7 | 978-1-4673-2596-7 | 3 |
PageRank | References | Authors |
0.45 | 3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
J. Frolik | 1 | 96 | 9.21 |
Paul D. H. Hines | 2 | 3 | 0.45 |