TY - GEN
T1 - Analysis of the behavior of electric vehicle charging stations with renewable generations
AU - Lee, Woongsup
AU - Xiang, Lin
AU - Schober, Robert
AU - Wong, Vincent W.S.
PY - 2013
Y1 - 2013
N2 - In this paper, we study the competitive interactions between electric vehicle charging stations (EVCSs) with renewable electricity generation facilities (REGFs). As electric vehicles (EVs) become more popular, there will be a competition between neighboring EVCSs to attract more EVs. Therefore, an EVCS is likely to set its electricity price by taking into account the competition with neighboring EVCSs, such that its revenue is maximized. We model the competitive interactions between EVCSs by using game theory. In this paper, we show that the game played by EVCSs is a supermodular game and there exists a unique pure Nash equilibrium for best response algorithms with arbitrary initial policy. Simulation results confirm the convergence of the game between EVCSs. The results also verify that it is beneficial for both EVs and EVCSs to have REGFs and all EVCSs will have REGFs in the long run.
AB - In this paper, we study the competitive interactions between electric vehicle charging stations (EVCSs) with renewable electricity generation facilities (REGFs). As electric vehicles (EVs) become more popular, there will be a competition between neighboring EVCSs to attract more EVs. Therefore, an EVCS is likely to set its electricity price by taking into account the competition with neighboring EVCSs, such that its revenue is maximized. We model the competitive interactions between EVCSs by using game theory. In this paper, we show that the game played by EVCSs is a supermodular game and there exists a unique pure Nash equilibrium for best response algorithms with arbitrary initial policy. Simulation results confirm the convergence of the game between EVCSs. The results also verify that it is beneficial for both EVs and EVCSs to have REGFs and all EVCSs will have REGFs in the long run.
UR - http://www.scopus.com/inward/record.url?scp=84893618074&partnerID=8YFLogxK
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U2 - 10.1109/SmartGridComm.2013.6687948
DO - 10.1109/SmartGridComm.2013.6687948
M3 - Conference contribution
AN - SCOPUS:84893618074
SN - 9781479915262
T3 - 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
SP - 145
EP - 150
BT - 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
T2 - 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013
Y2 - 21 October 2013 through 24 October 2013
ER -
