Self-Security for Grid-Interactive Smart Inverters Using Steady-State Reference Model
Smart inverters exchange information with other devices through a shared communication link, making the inverters more prone to receive harmful commands from external parties. This erroneous data can be received due to an anomaly in the system, such as a device fault, unintentional utility operator action, or a cyber-attack. In this paper, a device-level self-security strategy is implemented using reference models for a grid-interactive inverter to examine the incoming power setpoints, detect the anomalies, and protect the system accordingly. The PQ setpoints received from the utility supervisory controller are autonomously examined using the inverter’s normal and stable operating regions before engaging the setpoints to the inverter’s local controller. Grid parameters are estimated in real-time during the examination process. The efficacy of the self-security algorithm is tested using a three-phase 3-kVA SiC-MOSFET inverter and a 12-kW NHR 9410 regenerative grid emulator. The results verify that the proposed method can detect harmful PQ setpoints that can cause abnormal or unstable inverter operation.
- Research Organization:
- Kansas State Univ., Manhattan, KS (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- DOE Contract Number:
- EE0008767
- OSTI ID:
- 1905848
- Report Number(s):
- DOE-KSU-8767
- Journal Information:
- 2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics (COMPEL), Conference: Twenty-second IEEE Workshop on Control and Modeling for Power Electronics (COMPEL-2021) Cartagena, Colombia 02-05 November 2021
- Country of Publication:
- United States
- Language:
- English
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