A stochastic collaborative planning approach for electric vehicle charging stations and power distribution system

The increasingly prevalence of electric vehicles (EVs) calls for the effective planning of the charging infrastructure. In this paper, a multi-objective, multi-stage collaborative planning model is proposed for the EV charging stations and power distribution network. The model aims to minimize the investment & operation costs of the distribution system while maximizing the annually captured traffic flow. The uncertainties of the charging loads are considered. The MOEA/D algorithm is employed to find the Pareto frontier of the model. The simulation results prove the effectiveness of the model.