@inproceedings{16229732f35445959ccf91d955b2db14,
title = "Predictive Control for Parallel Grid-Connected Inverters with Low-Voltage Ride-Through Capability",
abstract = "The integration of distributed energy resources (DERs) via three-phase inverters plays a significant role in supporting the stability and reliability of AC power systems. This paper focuses on meeting grid code (GC) requirements concerning the integration of renewable energy sources (RES) and electric vehicles (EVs). A novel model predictive control (MPC) algorithm is proposed to provide the required grid support for parallel inverters during disturbances. The proposed strategy is validated across various fault scenarios, including symmetrical and asymmetrical faults. The considered scenarios focused on different severity levels of voltage sags, demonstrating the algorithm's robustness and adaptability in maintaining grid stability under adverse conditions. The results showcase the effectiveness of the topology in eliminating double-line frequency disturbances in active power during fault conditions. Moreover, it ensures accurate active and reactive power injections into the grid while adhering to operational standards and meeting the required GC.",
keywords = "Distributed Energy Resources, Grid Code, Grid Following, LVRT, Model Predictive Control",
author = "Anas Karaki and Abdelbasset Krama and Sertac Bayhan",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024 ; Conference date: 03-11-2024 Through 06-11-2024",
year = "2024",
doi = "10.1109/IECON55916.2024.10905777",
language = "English",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
booktitle = "IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings",
address = "United States",
}