  This paper presents a real time distributed control strategy for electric
vehicles charging covering both drivers and grid players' needs. Computation of
the charging load curve is performed by agents working at the level of each
single vehicle, with the information exchanged with grid players being
restricted to the chosen load curve and energy price feedback from the market,
elaborated according to the charging infrastructure congestion. The distributed
control mechanism is based on model predictive control methodology and
Lagrangian decomposition of the optimization control problem at its basis. The
simulation results show the effectiveness of the proposed distributed approach
and the mutual coherence between the computed charging load curves and the
resulting energy price over the time.
