The EV-SUG agent has to be designed based on: a) the
SUG’s configuration; b) the EV aggregator’s configuration; c)
the service features to rely on. For this purpose, a systemic optimization
study should be carried out in order to find a business
formula for the EV aggregator that at a first level is compatible
with its presence within the SUG and its coexistence
with the other agents, and at a second level is optimal for its
active participation in the market. In the following, this optimization
study is further explored with specific reference to
unidirectional V2G, and mathematical models for the EV aggregator
and the analysis of the optimal trading strategy of the
SUG-EV agent are presented.