@inproceedings{e9aa7c4ecc534cab9501270c2f4e818f,
title = "An Improved Predictive Control Strategy for Grid-Following Inverters During Voltage Sag",
abstract = "As power systems transition towards a more sustainable future with increasing integration of renewable energy sources (RES), the ability to handle low-voltage ride-through (LVRT) becomes essential for maintaining grid stability. This work investigates the impact of LVRT functionality for parallel inverter-based resources (IBRs) and explores the potential benefits of incorporating these IBRs to support the grid during voltage sags and contingencies. The study introduces a current reference generation method based on positive- and negative-sequence components to eliminate double-line frequency harmonics for grid-following (GFL) IBRs with LVRT capability. This approach enhances IBR performance under various grid disturbances by ensuring effective current limitation and accurate active and reactive power injection. The proposed method is implemented using Matlab Simulink under different unbalanced grid conditions to demonstrate the effectiveness of the approach in providing reactive power support according to grid code requirements.",
keywords = "Grid-following inverter, Inverter-based resource, Low-voltage ride-through, Predictive control, Voltage sag",
author = "Anas Karaki and Ali Sharida and Sertac Bayhan",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 19th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2025 ; Conference date: 20-05-2025 Through 22-05-2025",
year = "2025",
month = may,
day = "22",
doi = "10.1109/CPE-POWERENG63314.2025.11027186",
language = "English",
isbn = "979-8-3315-1518-8",
series = "Compatibility Power Electronics And Power Engineering",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 Ieee 19th International Conference On Compatibility, Power Electronics And Power Engineering, Cpe-powereng",
address = "United States",
}