Study on EV charging station location planning based on the load balance principle with agent-based AnyLogic simulation

Electrification of the transportation sector is gradually becoming a global trend due to the environmental benefits of electric vehicles (EV), which not only helps to reduce greenhouse gas emissions, but also helps to reduce the burden of fossil fuel resources need. In order to analyze and evaluate the performance of different EV charging station location schemes, a pre-built AnyLogic Urban Dynamics model with considering population, business, housing, and transport infrastructure is employed to simulate the private EV electricity demand per hour in this paper. Furthermore, two typical EV charging station location schemes for Beijing City's urban area is adopted to illustrate the performance difference between these models, in which the plan A showed a serious load unbalance problem by contrast to the plan B, which further demonstrates the value of our simulation model on helping the decision maker with such issues. We can find that the optimal EV charging station will avoid the waste of resource and meet the charging requirement.