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Electrical Engineering and Systems Science > Systems and Control

arXiv:2207.03667 (eess)
[Submitted on 8 Jul 2022]

Title:Identification of Intraday False Data Injection Attack on DER Dispatch Signals

Authors:Jip Kim, Siddharth Bhela, James Anderson, Gil Zussman
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Abstract:The urgent need for the decarbonization of power girds has accelerated the integration of renewable energy. Concurrently the increasing distributed energy resources (DER) and advanced metering infrastructures (AMI) have transformed the power grids into a more sophisticated cyber-physical system with numerous communication devices. While these transitions provide economic and environmental value, they also impose increased risk of cyber attacks and operational challenges. This paper investigates the vulnerability of the power grids with high renewable penetration against an intraday false data injection (FDI) attack on DER dispatch signals and proposes a kernel support vector regression (SVR) based detection model as a countermeasure. The intraday FDI attack scenario and the detection model are demonstrated in a numerical experiment using the HCE 187-bus test system.
Subjects: Systems and Control (eess.SY); Optimization and Control (math.OC)
Cite as: arXiv:2207.03667 [eess.SY]
  (or arXiv:2207.03667v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2207.03667

Submission history

From: Jip Kim [view email]
[v1] Fri, 8 Jul 2022 03:06:27 UTC (2,953 KB)
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