Detection of Cyber Attacks in Grid-tied PV Systems Using Dynamic Watermarking

Conference · Wed Mar 30 04:00:00 EDT 2022 · 2022 IEEE Green Technologies Conference (GreenTech)

DOI:https://doi.org/10.1109/greentech52845.2022.9772036· OSTI ID:2427408

Ibrahim, Hasan ^[1]; Kim, Jaewon ^[1]; Enjeti, Prasad ^[1]; Kumar, P. R. ^[1]; Xie, Le ^[1]

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1. Texas A&M University,Power Electronics and Power Quality Lab,Department of Electrical & Computer Engineering,College Station,Texas

This paper presents of an active detection scheme for detecting cyber attacks on sensors controlling a grid-tied PV systems. Several cyber vulnerabilities in Grid tied PV Systems are discussed. The defense mechanism introduces a private (secret) watermarking signal into the control inputs of the grid-tied inverter system. This will enable the detection of any malicious manipulation of sensor measurements. Based on the measured data, two statistical tests are conducted to identify anomalies in the system using the presence of the watermarking signal. It shown that when a sensor data is compromised and/or replaced by a pre-recorded healthy signal, both test 1 and 2 exhibit high values indicating a possible malicious activity. The robustness of the proposed algorithm is tested and validated with several attack scenarios on a grid tied PV system. Select results from an experimental setup are discussed.

• Research Organization: Texas A&M Engineering Experiment Station
• Sponsoring Organization: USDOE
• DOE Contract Number: EE0009031
• OSTI ID: 2427408
• Conference Information: Journal Name: 2022 IEEE Green Technologies Conference (GreenTech)
• Country of Publication: United States
• Language: English