Impact of cyber attacks on distributed compressive sensing based state estimation in power distribution grids

Rout, Biswajeet; Natarajan, Balasubramaniam

doi:10.1016/j.ijepes.2022.108295

Impact of cyber attacks on distributed compressive sensing based state estimation in power distribution grids

Journal Article · Tue May 17 00:00:00 EDT 2022 · International Journal of Electrical Power and Energy Systems

DOI:https://doi.org/10.1016/j.ijepes.2022.108295· OSTI ID:2418672

^[1]; Natarajan, Balasubramaniam ^[2]

Kansas State Univ., Manhattan, KS (United States); OSTI
Kansas State Univ., Manhattan, KS (United States)

Modern power distribution grids suffer from multiple vulnerabilities due to the tight integration between the physical system and the cyber infrastructure. Sophisticated and malicious cyber attacks continue to adversely impact the grid operation leading to performance degradation, service interruption, and grid failure. State estimation plays an essential role in grid monitoring and advancing cyber-attack situational awareness. In this regard, this paper first proposes a distributed compressive sensing (CS) state estimation approach for an unobservable distribution grid. Further, the proposed distributed CS approach divides the distribution grid into sub-areas to perform local state estimation. Then an alternating direction method of multipliers (ADMM) based iterative information exchange among neighboring areas is employed to complete the estimation process. In this estimation process, the impact of loss of measurement data, false data injection (FDI), replay, and neighborhood cyber-attacks is analyzed. Extensive simulations are performed on the IEEE 37-bus and IEEE 123-bus standard networks to demonstrate the algorithm’s robustness to the aforementioned cyber-attacks. A quantitative analysis of computational complexity and simulation time of the distributed CS based approach is also presented.

View Accepted Manuscript (DOE)

Research Organization:: Kansas State Univ., Manhattan, KS (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Grant/Contract Number:: EE0008767

OSTI ID:: 2418672

Alternate ID(s):: OSTI ID: 1869321

Journal Information:: International Journal of Electrical Power and Energy Systems, Journal Name: International Journal of Electrical Power and Energy Systems Journal Issue: PB Vol. 142; ISSN 0142-0615

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
97 MATHEMATICS AND COMPUTING
ADMM
Cyber attack
Distributed optimization
Distribution system
State estimation
Unobservability

Impact of cyber attacks on distributed compressive sensing based state estimation in power distribution grids

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