  Smart interactions among the smart grid, aggregators and EVs can bring
various benefits to all parties involved, e.g., improved reliability and safety
for the smart gird, increased profits for the aggregators, as well as enhanced
self benefit for EV customers. This survey focus on viewing this smart
interactions from an algorithmic perspective. In particular, important
dominating factors for coordinated charging from three different perspectives
are studied, in terms of smart grid oriented, aggregator oriented and customer
oriented smart charging. Firstly, for smart grid oriented EV charging, we
summarize various formulations proposed for load flattening, frequency
regulation and voltage regulation, then explore the nature and substantial
similarity among them. Secondly, for aggregator oriented EV charging, we
categorize the algorithmic approaches proposed by research works sharing this
perspective as direct and indirect coordinated control, and investigate these
approaches in detail. Thirdly, for customer oriented EV charging, based on a
commonly shared objective of reducing charging cost, we generalize different
formulations proposed by studied research works. Moreover, various uncertainty
issues, e.g., EV fleet uncertainty, electricity price uncertainty, regulation
demand uncertainty, etc., have been discussed according to the three
perspectives classified. At last, we discuss challenging issues that are
commonly confronted during modeling the smart interactions, and outline some
future research topics in this exciting area.
