  With the large scale penetration of electric vehicles (EVs) and the advent of
bidirectional chargers, EV aggregators will become a major player in the
voltage regulation market. This paper proposes a novel false data injection
attack (FDIA) against the voltage regulation capacity estimation of EV charging
stations, the process that underpins voltage regulation in distribution system.
The proposed FDIA takes into account the uncertainty in EV mobility and network
conditions. The attack vector with the largest expected adverse impact is the
solution of a stochastic optimization problem subject to a constraint that
ensures it can bypass bad data detection. We show that this attack vector can
be determined by solving a sequence of convex quadratically constrained linear
programs. The case studies examined in a co-simulation platform, based on two
standard test feeders, reveal the vulnerability of the voltage regulation
capacity estimation.
