Electric vehicle charging guidance strategy considering user charging decision-making behavior

Abstract

Fast charging station (FCS) is an important energy supply facility for electric vehicle (EV). With the popularization and application of EV, the fast charging load is gradually rising, which has a certain impact on the operation of distribution network. However, as a demand-side response resource, fast charging load can mitigate the negative impact of EV access on distribution network operation through orderly charging control. Therefore, an EV charging guidance strategy considering user charging decision-making behavior is proposed. Firstly, considering the impact of dynamic traffic conditions, an EV mobility model is constructed by using trip chain theory to simulate user trips and characterize the spatio-temporal distribution of remaining electricity. Secondly, considering the remaining electricity, charging facilities distribution and charging service price, the user charging decision model is constructed by using regret theory, and the spatio-temporal distribution of charging load is characterized. Then, the charging service price optimization model is constructed to minimize the distribution network loss. By optimizing the charging service price of the public FCS, the space-time distribution of charging load is guided. Finally, by comparing different service price schemes, the results show that the proposed method has better guidance effect on small capacity vehicles. The larger the equivalent conversion coefficient of user time consumption, the better the effect of the proposed method on charging load guidance.

Keywords

• electric vehicle (ev) mobility model
• charging load
• dynamic traffic condition
• charging decision-making behavior
• charging service price
• charging guidance strategy