Vehicle driving pattern based modeling and analysis of centralized charging/discharging strategy for plug-in electric vehicles

To analyze the impact of plug-in electric vehicles (PEV) on regional distribution network and alleviate the effect of charging load of PEV on power grid, through the modeling of four essential elements of PEV such as the time away from home, the time to go back home, number of daily trips and the distance of single trip, a vehicle driving pattern model is established. Based on the vehicle-driving pattern and through the two-stage optimization model, a minimum-costleast-fluctuation (MCLF) charging/discharging strategy, in which the charging/discharging life loss of battery is considered, is built. The goal of the proposed method is to decrease the operating cost of charging/discharging agents and to reduce the fluctuation of charging/discharging load to a minimum while the client demands are satisfied. The effectiveness of the proposed method is validated by the result of simulation experiments, and it is also shown that only the cost of the battery is reduced to one fourth of its current price and the discharging price is increased to 0.6 CNY/kWh, the participation of PEV in the discharging of vehicles to power grid could be able to bring evident economic returns; the 8 hours duration of the electricity price for the valley-load period can effectively mitigate the impact of PEV charging on power grid.