Ordered Charging Strategy for Electric Vehicles Based on Users’ Priority Willingness and Satisfaction

In order to meet the personalized charging needs of different users and avoid the negative impact of large number of electric vehicles charging in a disordered manner on the power grid, this paper proposes an ordered charging strategy for electric vehicles. In this strategy, users set subjective priority according to their different travel convenience and economy, charging station operators set objective priority according to users’ required power and latest departure time, and calculate comprehensive priority by combining subjective priority and objective priority, so as to set charging power for users at different times; according to the different subjective priority of each user, each user’s satisfaction is given different weights. According to the different subjective priority of each user, different weights are assigned to each user’s satisfaction, and the optimization model is established with the goal of maximizing the user’s comprehensive satisfaction, and the inertial weight particle swarm algorithm is used to solve the optimization model. The results show that the strategy proposed in this paper can meet the personalized charging demand of users, improve the satisfaction of users, and play the role of peak-shaving and valley-filling.