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- W2614140861 abstract "With the popularity of electric vehicles (EVs), such as plug-in electric vehicles (PHEVs) and battery electric vehicles (BEVs), an optimal strategy for the coordination of BEVs charging is proposed in this paper. The proposed approach incorporates the random behaviours and regular behaviours of BEV drivers in urban environment. These behaviours lead to the stochastic nature of the charging demand. The optimal strategy is used to guide the coordinated charging at different time to maximize the efficiency of virtual power plant (VPP). An innovative peer-to-peer system is used with BEVs to achieve the goals. The actual behaviours of vehicles in a campus is used to validate the proposed approach, and the simulation results show that the optimal strategy can not only maximize the utilization ratio of efficiency power plant, but also do not need additional energies from distribution grid." @default.
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- W2614140861 date "2017-05-01" @default.
- W2614140861 modified "2023-09-27" @default.
- W2614140861 title "Optimal Strategy of Efficiency Power Plant with Battery Electric Vehicle in Distribution Network" @default.
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- W2614140861 doi "https://doi.org/10.1088/1757-899x/199/1/012095" @default.
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