Self-Secure Inverters Against Malicious Setpoints

Hossen, Tareq; Sadeque, Fahmid; Gursoy, Mehmetcan; Mirafzal, Behrooz

doi:10.1109/epec48502.2020.9320022

Self-Secure Inverters Against Malicious Setpoints

Conference · Sun Nov 08 23:00:00 EST 2020 · 2020 IEEE Electric Power and Energy Conference (EPEC)

DOI:https://doi.org/10.1109/epec48502.2020.9320022· OSTI ID:1907360

Hossen, Tareq ^[1]; Sadeque, Fahmid; Gursoy, Mehmetcan; Mirafzal, Behrooz

Kansas State University

The next generation of grid-interactive inverters brings a communication feature that allows data sharing from utility supervisory controllers and smart devices that are connected to the same network. This feature enhances the control capabilities of grid-interactive inverters to provide services beyond active power injection. However, communication networks entail more vulnerable surfaces to malicious attacks that may result in modifying active and reactive power setpoints and causing weak-grid conditions or abnormal inverter operation. In this paper, steady-state and the dynamic behavior of the inverter for the incoming setpoints are analyzed to detect false data injection attacks and provide device-level security. The steady-state behavior of the inverter in the operating region is determined from the grid parameters such as the grid voltage and the grid impedance. These estimations are accomplished by the proposed self-security technique through a low-frequency signal injection-based approach combined with the recursive least square method. Moreover, a reduced fourth-order inverter model is used as the dynamic reference model, and grid parameters as well as the incoming setpoints are implemented to the reference model to verify whether the dynamic behavior of the inverter is inside the permissible region of operation. The validity and performance of the proposed method are verified experimentally through Allen-Bradley Powerflex 755 three-phase inverter and a 12 kW NHR 9410 regenerative power grid emulator. The results show that the self-secure smart-inverter is able to accept or reject the incoming commands and thus is protected from malicious cyber-physical attacks.

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Research Organization:: Kansas State University

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

DOE Contract Number:: EE0008767

OSTI ID:: 1907360

Report Number(s):: DOE-KSU-8767

Journal Information:: 2020 IEEE Electric Power and Energy Conference (EPEC), Journal Name: 2020 IEEE Electric Power and Energy Conference (EPEC)

Country of Publication:: United States

Language:: English

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