Simulation Based Evaluation and Optimization for PEV Charging Stations Deployment in Transportation Networks

Plug-in electric vehicles (PEVs) are receiving global attention. However, large-scale PEVs bring challenge to charging station deployment. This paper provides a deployment evaluation method and a planning method for PEVs charging stations based on simulation and genetic algorithm (GA). In this research, reasonable user behaviors changes i.e., detouring for recharging, is included in the method for more practical application. A detailed logic for describing the PEV users' detour behaviors is designed in this paper for the charging station deployment evaluation and further influence the later charging station planning strategy formulation. Intuitively, by taking the behaviors change of PEV users after a charging station deployment is given into account, our evaluation method is the more reasonable. Actually a series of control experiments should be carried out to illustrate the different insights from our method. However, in this paper, due to the limited space, we just provide the result of our method in a relatively simple case with some analyses. Different insights from our method may work as useful suggestion for charging station plan in a city area.