Key points are not available for this paper at this time.
A vehicle-to-vehicle (V2V) (dis)charging strategy can provide charging plans for gridable electric vehicles (GEVs), aiming to offload the heavy power loads from the electric power system. However, designing an efficient online V2V (dis)charging strategy to achieve optimal energy utilization is still an open issue. In this paper, we propose a semi-distributed online V2V (dis)charging strategy at a swapping station based on price control. Specifically, based on the electricity price control strategy, GEVs are motivated to contribute to a V2V energy transaction due to expected high revenue for discharging GEVs and low cost for charging GEVs. The Oligopoly game and Lagrange duality optimization techniques are exploited to address the associated optimal V2V (dis)charging strategies. Simulation results are presented to demonstrate the performance of the proposed V2V (dis)charging strategy.
Wang et al. (Mon,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: