Secure Integration of Electric Vehicles with the Power Grid
For power grid operators and EV aggregators, this work addresses the critical need for real-time security in V2G systems, though it is an incremental step combining existing concepts.
This paper proposes a novel Cyber-Physical Anomaly Detection Engine for securing electric vehicle integration with the power grid, combining cyber messages, power measurements, and timing requirements to detect anomalies almost instantaneously. It is the first work to integrate these three aspects for intrusion detection in V2G systems.
This paper focuses on the secure integration of distributed energy resources (DERs), especially pluggable electric vehicles (EVs), with the power grid. We consider the vehicle-to-grid (V2G) system where EVs are connected to the power grid through an aggregator. In this paper, we propose a novel Cyber-Physical Anomaly Detection Engine that monitors system behavior and detects anomalies almost instantaneously. This detection engine ensures that the critical power grid component (viz.,aggregator)remains secure by monitoring(a)cyber messages for various state changes and data constraints along with (b)power data on the V2G cyber network using power measurements from sensors on the physical/power distribution network. Since the V2G system is time-sensitive, the anomaly detection engine also monitors the timing requirements of the protocol messages to enhance the safety of the aggregator. To the best of our knowledge, this is the first piece of work that combines(a)the EV charging/discharging protocols, the(b)cyber network and(c)power measurements from physical network to detect intrusions in the EV to power grid system.