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- W4200434650 abstract "Smart inverters supervised through a cyber network become vulnerable to cyberattacks. In this work, a self-security method is developed and implemented using the digital twin concept for smart inverters. This paper shows a digital twin can be formed using the dynamic model for grid-interactive inverters. In the proposed self-security method, 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, an inverter's stable and unstable operation is experimentally verified by changing the power setpoints engaged to the local controller, using a laboratory setup including a three-phase 5-kVA SiC-MOSFET inverter. The results demonstrate that the digital twin model can potentially protect inverters from an abnormal operation, i.e., instability, by examining the incoming new setpoints before engaging the setpoints to the local controller." @default.
- W4200434650 created "2021-12-31" @default.
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- W4200434650 date "2021-11-02" @default.
- W4200434650 modified "2023-10-18" @default.
- W4200434650 title "Smart Inverter Twin Model for Anomaly Detection" @default.
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- W4200434650 doi "https://doi.org/10.1109/compel52922.2021.9646038" @default.
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