  In the past years, power grids have become a valuable target for
cyber-attacks. Especially the attacks on the Ukrainian power grid has sparked
numerous research into possible attack vectors, their extent, and possible
mitigations. However, many fail to consider realistic scenarios in which time
series are incorporated into simulations to reflect the transient behaviour of
independent generators and consumers. Moreover, very few consider the limited
sensory input of a potential attacker. In this paper, we describe a reactive
power attack based on a well-understood scenario. We show that independent
agents can learn to use the dynamics of the power grid against it and that the
attack works even in the face of other generator and consumer nodes acting
independently.
