Planning of Fast-charging Stations Considering Heterogeneous Charging Patterns in Electrified Transportation Networks

The coexistence of heterogeneous charging patterns complicates the location of fast-charging stations for electric vehicles in an urban city area. Existing planning models will produce less-effective siting and sizing decisions, which are expected to inevitably block the further development of electric vehicle ecology. To bridge this gap, this paper investigates the location and sizing of FCSs on electrified transportation networks and proposes a mixed integer second order cone program (MISOCP), which considers both en route and destination charging demands. The AC power flow conditions of power distribution systems are also incorporated. The model's effectiveness is validated using benchmark systems, and the tradeoffs between heterogeneous types of demands are revealed.