  Electric vehicle (EV) aggregation can significantly influence the EVs
charging/discharging behavior. In this paper, we use a distributed algorithm
based on the alternating direction method of multipliers (ADMM) to coordinate
EV charging and discharging procedures for EVs with vehicle-to-grid (V2G)
capabilities. The optimization model is formulated as a mixed-integer quadratic
programming (MIQP) problem to consider the efficiency of EV batteries and
different energy prices in both charging and discharging processes. Numerical
tests using real-world data confirms that the implemented method allows
obtaining both the electric vehicle aggregator (EVA) and individual EV goals
while considering the power grid and each EV constraints. Moreover, we show the
significant impact of our model on the final demand profile and computation
time.
