| Title | Secure Integration of Electric Vehicles with the Power Grid |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Niddodi, Chaitra, Lin, Shanny, Mohan, Sibin, Zhu, Hao |
| Conference Name | 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) |
| Date Published | oct |
| Keywords | aggregator, anomaly detection, battery powered vehicles, compositionality, critical power grid component, cyber-physical, cyber-physical anomaly detection Engine, detects anomalies, distributed energy resources, distributed power generation, distribution networks, electric vehicles, Engines, EV, human factors, Inspection, Intrusion detection, Monitoring, monitoring cyber messages, monitors system behavior, pluggable electric vehicles, power data, power grid system, Power measurement, power measurements, power system security, Protocols, pubcrawl, Resiliency, secure integration, security, Smart Grid Sensors, V2G cyber network, Vehicle-to-grid, vehicle-to-grid system, worst case inspection time |
| Abstract | 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 (worst case inspection time for a packet is 0.165 seconds1). 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.1Minimum latency on V2G network is 2 seconds. |
| DOI | 10.1109/SmartGridComm.2019.8909774 |
| Citation Key | niddodi_secure_2019 |
Secure Integration of Electric Vehicles with the Power Grid