Abstract | ||
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The vehicle-to-grid (V2G) technique, which utilizes electric vehicles (EVs) to provide ancillary services for power grid, becomes promising in current smart grid research. In this paper, a game theoretic approach is proposed to motivate EVs to provide frequency regulation services for power grid. The interaction between the EV aggregator and EVs is formulated as a Stackelberg game. We find that the Stackelberg game admits a unique equilibrium solution, and the existence and uniqueness of the Nash equilibrium are validated. Algorithms have been devised for finding the Nash equilibrium of the game. Our simulation results show that the proposed game theoretic V2G scheduling approach can motivate EVs to schedule their charging/discharging activities so as to smooth out the power fluctuations from the grid while maximizing their own utilities. This demonstrates the effectiveness of the use of the V2G game in providing regulation service to the grid. |
Year | DOI | Venue |
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2018 | 10.1109/GLOCOM.2018.8647357 | IEEE Global Communications Conference |
Field | DocType | ISSN |
Uniqueness,Mathematical optimization,Smart grid,News aggregator,Computer science,Scheduling (computing),Computer network,Stackelberg competition,Nash equilibrium,Grid,Vehicle-to-grid | Conference | 2334-0983 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiangyu Chen | 1 | 26 | 7.46 |
Ka-Cheong Leung | 2 | 318 | 35.54 |