Current-Limiting Control Design for Grid-Forming Capability Enhancement of IBRs Under Asymmetric Grid Disturbances

Recent technical specifications for grid-forming (GFM) inverter-based resources (IBRs) require the terminal voltage to remain as balanced as possible during asymmetric disturbances to enhance GFM capability. However, under severe unbalanced fault conditions, GFM IBRs are forced into current-limiting operation, which substantially impairs their ability to support voltage balance. This presents a critical challenge for advanced current-limiting control (CLC) in GFM IBRs. To address this challenge, a general CLC design guideline is proposed. The core principle is to align the phase angle of the impedance emulated by the CLC with that of the external AC grid impedance in both positive and negative sequences, thereby improving voltage balance and enhancing GFM capability. Following this guideline, two CLC implementations are developed using virtual impedance and current reference saturation frameworks. The proposed CLC schemes undergo rigorous grid code compliance evaluation, transient stability analysis, and robustness assessment. Extensive simulation studies, including comparisons with state-of-the-art CLC methods, as well as controller hardware-in-the-loop experiments, validate the improved transient stability and enhanced GFM capability achieved by the proposed method.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2025-11-14
DOI
https://doi.org/10.1109/tpel.2025.3632684
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Current-Limiting Control Design for Grid-Forming Capability Enhancement of IBRs Under Asymmetric Grid Disturbances

Mostafa Nick, Xiaowei Zhao, Miao Wang, Qian Liu et al.
IEEE Transactions on Power Electronics
Microgrid Control and Optimization
article

Current-Limiting Control Design for Grid-Forming Capability Enhancement of IBRs Under Asymmetric Grid Disturbances

Mostafa Nick, Xiaowei Zhao, Miao Wang, Qian Liu, Cheng Chen
article en

Abstract

Recent technical specifications for grid-forming (GFM) inverter-based resources (IBRs) require the terminal voltage to remain as balanced as possible during asymmetric disturbances to enhance GFM capability. However, under severe unbalanced fault conditions, GFM IBRs are forced into current-limiting operation, which substantially impairs their ability to support voltage balance. This presents a critical challenge for advanced current-limiting control (CLC) in GFM IBRs. To address this challenge, a general CLC design guideline is proposed. The core principle is to align the phase angle of the impedance emulated by the CLC with that of the external AC grid impedance in both positive and negative sequences, thereby improving voltage balance and enhancing GFM capability. Following this guideline, two CLC implementations are developed using virtual impedance and current reference saturation frameworks. The proposed CLC schemes undergo rigorous grid code compliance evaluation, transient stability analysis, and robustness assessment. Extensive simulation studies, including comparisons with state-of-the-art CLC methods, as well as controller hardware-in-the-loop experiments, validate the improved transient stability and enhanced GFM capability achieved by the proposed method.

IEEE Transactions on Power ElectronicsVol. 41(4)
National Nuclear Laboratory (GB), University of Warwick (GB)
Openalex Percentile: Top 57%
Microgrid Control and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.