  This paper studies siting and sizing of plug-in electric vehicle (PEV)
fast-charging stations on coupled transportation and power networks. We develop
a closed-form service rate model of highway PEV charging stations' service
abilities, which considers heterogeneous PEV driving ranges and charging
demands.We utilize a modified capacitated flow refueling location model (CFRLM)
to explicitly capture time-varying PEV charging demands on the transportation
network under driving range constraints. We explore extra constraints of the
CFRLM to enhance model accuracy and computational efficiency.We then propose a
stochastic mixed-integer second order cone programming (SOCP) model for PEV
fast-charging station planning. The model considers the transportation network
constraints of CFRLM and the power network constraints with AC power flow.
Numerical experiments are conducted to illustrate the effectiveness of the
proposed method.
