With the rapid growth of electric vehicles‎, ‎power systems would face serious difficulties to supply the excessive electricity demand in the near future‎. ‎In this paper‎, ‎a bilevel planning method is introduced to prevent the environmental and technical issues that the introduction of electric vehicles may cause for electricity grids‎. ‎The idea of this method is to employ the differences between EV types and optimally distribute them within the power system‎. ‎The planning objective‎, ‎modeled by the upper-level problem‎, ‎is to minimize the total CO2‎. ‎This upper-level problem is constrained by a lower-level optimal power flow‎. ‎The model is reduced to a single-level convex optimization problem using the duality theory‎. ‎The importance of decreasing urban area emission is also considered in this model‎. ‎The IEEE RTS 24 system‎, ‎and real world vehicle specifications is used to demonstrate the capability of the proposed method‎. ‎Results suggest that for low daily trip distances‎, ‎the best option depends on the priority of urban area emission reduction‎. ‎On the other hand‎, ‎for higher distances‎, ‎the plug-in types would lead to lower total emissions‎.

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