A Consumer Behavior Based Approach to Multi-Stage EV Charging Station Placement

摘要

This paper presents a multi-stage approach to the placement of chargingstations under the scenarios of different electric vehicle (EV) penetrationrates. The EV charging market is modeled as the oligopoly. A consumer behaviorbased approach is applied to forecast the charging demand of the chargingstations using a nested logit model. The impacts of both the urban road networkand the power grid network on charging station planning are also considered. Ateach planning stage, the optimal station placement strategy is derived throughsolving a Bayesian game among the service providers. To investigate theinterplay of the travel pattern, the consumer behavior, urban road network,power grid network, and the charging station placement, a simulation platform(The EV Virtual City 1.0) is developed using Java on Repast.We conduct a casestudy in the San Pedro District of Los Angeles by importing the geographic anddemographic data of that region into the platform. The simulation resultsdemonstrate a strong consistency between the charging station placement and thetraffic flow of EVs. The results also reveal an interesting phenomenon thatservice providers prefer clustering instead of spatial separation in thisoligopoly market.