Abstract | ||
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Electric vehicles (EVs) are expected to soon become widespread in the distribution network. The large magnitude of EV charging load and unpredictable mobility of EVs make them a challenge for the distribution network. Leveraging fast-timescale measurements and low-latency broadband communications enabled by the smart grid, we propose a distributed control algorithm that adapts the charging rate of EVs to the available capacity of the network ensuring that network resources are used efficiently and each EV charger receives a fair share of these resources. We obtain sufficient conditions for stability of this control algorithm in a static network, and demonstrate through simulation in a test distribution network that our algorithm quickly converges to the optimal rate allocation. |
Year | DOI | Venue |
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2013 | 10.1145/2487166.2487178 | e-Energy |
Keywords | Field | DocType |
test distribution network,fair share,distribution network,ev charger,control algorithm,network resource,available capacity,electric vehicle,optimal rate allocation,static network,congestion control | Control algorithm,Resource (disambiguation),Smart grid,Broadband communication,Electric vehicle,Distribution networks,Real-time computing,Network congestion,Engineering | Conference |
Citations | PageRank | References |
38 | 1.73 | 13 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Omid Ardakanian | 1 | 104 | 11.60 |
Catherine Rosenberg | 2 | 1877 | 137.46 |
Srinivasan Keshav | 3 | 3778 | 761.32 |