  The inherent storage of plug-in electric vehicles is likely to foster the
integration of intermittent generation from renewable energy sources into
existing power systems. In the present paper, we propose a three-stage scheme
to the end of achieving dispatchability of a system composed of plug-in
electric vehicles and intermittent generation. The main difficulties in
dispatching such a system are the uncertainties inherent to intermittent
generation and the time-varying aggregation of vehicles. We propose to address
the former by means of probabilistic forecasts and we approach the latter with
separate stage-specific models. Specifically, we first compute a dispatch
schedule, using probabilistic forecasts together with an aggregated dynamic
model of the system. The power output of the single devices are set
subsequently, using deterministic forecasts and device-specific models. We draw
upon a simulation study based on real data of generation and vehicle traffic to
validate our findings.
