On Projection of Safe Operation for Grid-Following Inverters - Grid Parameter Estimation

Hossen, Tareq; Mirafzal, Behrooz

doi:10.1109/icidea53933.2022.9970107

On Projection of Safe Operation for Grid-Following Inverters - Grid Parameter Estimation

Conference · Sat Oct 15 04:00:00 EDT 2022 · 2022 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA)

DOI:https://doi.org/10.1109/icidea53933.2022.9970107· OSTI ID:1905749

Hossen, Tareq ^[1]; Mirafzal, Behrooz ^[2]

Kansas State University,Department of Electrical and Computer Engineering,Manhattan,KS,USA; Kansas State University
Kansas State University,Department of Electrical and Computer Engineering,Manhattan,KS,USA

This work investigates the projection of safe operation for grid-following inverters using a reference model. This work applies recursive-least square and model reference adaptive estimation techniques to estimate the unknown grid parameters. The estimated grid parameters are used in a dynamic reference model to project the safe operation of the inverter. This work also demonstrates that the controller nonlinearity and parameter variations can cause unsafe operations, such as unexpected instability at low power levels, namely hidden mode of instability. This instability issue in the nominal operating range may occur for given control parameters in a weak-grid condition. The dynamic reference model for PQ-controlled inverters is applied to analyze this instability issue using the estimated grid parameters. Both adaptive identification techniques can estimate the unknown parameters accurately, and the dynamic reference model can safeguard inverters from an unsafe operation, i.e., hidden instability, by examining the incoming new power setpoints before engaging them to the local controller. The findings are experimentally verified using a small-scale two-level 208 V, 5 kVA inverter feeding a 12 kW NHR 9410 power grid emulator.

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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:: 1905749

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

Conference Information:: Journal Name: 2022 1st IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA)

Country of Publication:: United States

Language:: English

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