  Plug-in electric vehicles are receiving global attention. However,
large-scale plug-in electric vehicles bring challenge to charging station
deployment. This paper provides a deployment evaluation method and a planning
method for plug-in electric vehicles charging stations based on simulation and
genetic algorithm. In this research, reasonable user behaviors changes i.e.,
detouring for recharging, is included in the method for more practical
application. A detailed logic for describing the plug-in electric vehicles
users' detour behaviors is designed in this paper for the charging station
deployment evaluation and further influence the later charging station planning
strategy formulation. Intuitively, by taking the behaviors change of plug-in
electric vehicles users after a charging station deployment is given into
account, our evaluation method is the more reasonable. Actually a series of
control experiments should be carried out to illustrate the different insights
from our method. However, in this paper, due to the limited space, we just
provide the result of our method in a relatively simple case with some
analyses. Different insights from our method may work as useful suggestion for
charging station plan in a city area.
