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Smart Inverter Twin Model for Anomaly Detection

Conference · · 2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics (COMPEL)
Smart inverters connected to a communication network are vulnerable to various anomalies in the form of cyberattacks. In this paper, a self-security approach is implemented using the digital twin concept for smart inverters. The digital twin is formed using the inverter’s dynamic model. Then, the incoming setpoints are autonomously examined using the digital twin, and only the safe setpoints are engaged to the inverter’s local controller. This paper demonstrates the details of the self-security algorithm and how the inverter’s digital twin is formed. In particular, the stable and unstable operation region is experimentally verified by changing the power setpoints engaged to the local controller, using a laboratory setup including a three-phase 1.5-kVA SiC-MOSFET inverter and a 12-kW NHR 9410 regenerative power grid emulator. The results demonstrate that the digital twin model can potentially protect inverters from abnormal operation by examining the incoming commands (new setpoints) using the inverter’s digital twin before engaging the setpoints to the local controller.
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:
1905745
Report Number(s):
DOE-KSU-8767
Conference Information:
Journal Name: 2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics (COMPEL)
Country of Publication:
United States
Language:
English

References (18)

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Resilient Synchronization Strategy for AC Microgrids Under Cyber Attacks journal January 2021
Smart Inverter Stability Enhancement in Weak Grids Using Adaptive Virtual-Inductance journal January 2021
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On Self-Security of Grid-Interactive Smart Inverters conference April 2021
Cyber Security in Control of Grid-Tied Power Electronic Converters—Challenges and Vulnerabilities journal October 2021

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