Multi-beneficial Orderly Charging Subsidy Dispatching Strategy for Electric Vehicles in Residential Areas

Disordered charging of electric vehicles (EVs) in residential areas is detrimental to the local distribution network. To address this problem, this paper outlines a stimulus subsidy strategy. Firstly, we used Monte Carlo approach to simulate the charging behaviors of users. The simulation results were used to establish an orderly charging model based on the strategy of time-of-use (TOU) tariff. Then, we considered and balanced the performance of the power grid and the satisfaction of the users, and proposed a multi-beneficial orderly charging model. Particle Swarm Optimization (PSO) was used to solve the charging model. The optimal charging start time was obtained. Moreover, a stimulus subsidy strategy based on Weber-Fechner Law could further improve users’ satisfaction. The effectiveness of the proposed strategy was demonstrated via simulations on a typical daily load of a certain community. The result shows that the subsidy scheduling strategy could reduce the charging cost of users and stabilize the load of the grid. More importantly, there was only little change in the charging habits of users. Hence, both the grid and users could benefit from the proposed strategy.