Stochastic Collaborative Planning Method for Electric Vehicle Charging Stations

Electric vehicles (EV) is a promising solution for reducing the environment adverse effect of road transport. In this study, a multi-objective, multi-stage collaborative planning model is proposed for the integrated EV charging stations and power distribution network. The proposed model aims to minimize the investment & operation costs of the distribution system and maximize the annually captured traffic flow. The uncertainties for both slow charging load and fast charging load are considered. The MOEA/D algorithm is employed to find the Pareto frontier of the proposed model. Simulations based on a case study of a 54-node distribution system and a 25-node traffic network system proves the effectiveness of proposed method.