False Data Injection Cyberattacks Targeting Electric Vehicles in Smart Power Distribution Systems

This paper presents a false data injection (FDI) attack model to target a selection of plugged-in electric vehicles (EVs) in a smart power distribution system resulting in a range of operational issues including but not limited to voltage collapse. To reduce the total cost and difficulty of the cyberattack, attacker utilizes a pre-attack analysis via generating PV and VQ curves for the buses of the distribution system in order to precisely recognize the weakest buses of the system (i.e., the most vulnerable ones) and also the required active and reactive power to be injected into the targeted buses to result in voltage collapse. The effectiveness of the proposed attack model is validated on an IEEE test distribution system modified to contain distributed generation (DG) and EV aggregators.