  The optimal operation problem of electric vehicle aggregator (EVA) is
considered. An EVA can participate in energy and regulation markets with its
current and upcoming EVs, thus reducing its total cost of purchasing energy to
fulfill EVs' charging requirements. An MPC based optimization model is
developed to consider future arrival of EVs as well as energy and regulation
prices. The index of CVaR is used to model risk-averseness of an EVA.
Simulations on the 1000-EV test system validate the effectiveness of our work
in achieving a lucrative revenue while satisfying the charging requests from EV
owners.
