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This paper focuses on the secure integration of distributed energy resources(DERs), especially pluggable electric vehicles (EVs), with the power grid. Weconsider the vehicle-to-grid (V2G) system where EVs are connected to the powergrid through an aggregator. In this paper, we propose a novel Cyber-PhysicalAnomaly Detection Engine that monitors system behavior and detects anomaliesalmost instantaneously. This detection engine ensures that the critical powergrid component (viz.,aggregator)remains secure by monitoring(a)cyber messagesfor various state changes and data constraints along with (b)power data on theV2G cyber network using power measurements from sensors on the physical/powerdistribution network. Since the V2G system is time-sensitive, the anomalydetection engine also monitors the timing requirements of the protocol messagesto enhance the safety of the aggregator. To the best of our knowledge, this isthe first piece of work that combines(a)the EV charging/discharging protocols,the(b)cyber network and(c)power measurements from physical network to detectintrusions in the EV to power grid system.

Secure Integration of Electric Vehicles with the Power Grid