Perturbation-Based Diagnosis of False Data Injection Attack Using Distributed Energy Resources
Journal Article
·
· IEEE Transactions on Smart Grid
- Argonne National Lab. (ANL), Lemont, IL (United States). Center of Energy, Environmental, and Economic Systems
- Kansas State Univ., Manhattan, KS (United States)
Modern smart grid relies on various sensor measurements for its operational control. In a successful false data injection attack, the attacker manipulates the measurements from the grid sensors such that undetected errors are introduced into the estimates of the system parameters leading to catastrophic situations. This paper proposes a novel perturbation based false data injection attack detection mechanism that utilizes inverter based distributed energy resources (DERs) to create low magnitude perturbation signal in the distribution system voltage that is inconsequential to the normal grid operation. Two voltage sensitivity analysis based algorithms are designed to identify the optimal set of DERs that can create the voltage perturbation signal of desired magnitude. An analytical method of voltage sensitivity analysis is used to compute the magnitude of voltage perturbation signal at each node in a computationally efficient manner. Then, a detection mechanism is developed that checks for the presence of the perturbation sequence in each sensor measurement. A sensor measurement is deemed authentic if the voltage perturbation signal is present in the data. In case of sensor malfunction or cyber-attack, the perturbation signal will not be present in the measurement data. Performance of the proposed attack detection mechanism is validated via simulation of the IEEE 69 bus test system.
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States); Kansas State Univ., Manhattan, KS (United States)
- Sponsoring Organization:
- USDOE Office of Electricity (OE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- Grant/Contract Number:
- AC02-06CH11357; EE0008767
- OSTI ID:
- 1813094
- Alternate ID(s):
- OSTI ID: 1907545
- Report Number(s):
- DOE-KSU-8767; 158304
- Journal Information:
- IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 2 Vol. 12; ISSN 1949-3053
- Publisher:
- IEEECopyright Statement
- Country of Publication:
- United States
- Language:
- English
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