Transient Stability in Grid-Forming Converters with Current Limitation and DC-Link Voltage Control

Transient stability of grid-forming (GFM) converters with current limitation is a major challenge in converterdominated grids, and has been investigated through several methodologies, including Equal Area Criterion and phase portraits. Nevertheless, the aforementioned techniques in their traditional formulation can not be applied to GFM converters with regulated dc-link voltage and current limitation, such as the ones used in hybrid AC/DC grids (e.g., HVDC systems). To overcome this shortcoming, this paper proposes a novel transient stability analysis method that combines bisection search and polynomial regression to accurately estimate the critical clearing time (CCT). Unlike traditional large-signal stability analysis methods, which can be applied only to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2^{\text {nd }}$</tex> order converter models, the proposed method applies to high-fidelity high-order models, with the possibility of including more complex converter dynamics such as dc-link voltage and current saturation. The proposed method is also used to investigate active power reference adaptation strategies that prioritize reactive power during current saturation, demonstrating their effectiveness in improving transient stability.

Authors

Institutions

Publication Details

Published
2025-10-08
DOI
https://doi.org/10.1109/ee67693.2025.11227037
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

Transient Stability in Grid-Forming Converters with Current Limitation and DC-Link Voltage Control

Elisabetta Tedeschi, Federico Cecati, Juan-Camilo Oyuela-Ocampo
Microgrid Control and Optimization
article

Transient Stability in Grid-Forming Converters with Current Limitation and DC-Link Voltage Control

Elisabetta Tedeschi, Federico Cecati, Juan-Camilo Oyuela-Ocampo
article en

Abstract

Transient stability of grid-forming (GFM) converters with current limitation is a major challenge in converterdominated grids, and has been investigated through several methodologies, including Equal Area Criterion and phase portraits. Nevertheless, the aforementioned techniques in their traditional formulation can not be applied to GFM converters with regulated dc-link voltage and current limitation, such as the ones used in hybrid AC/DC grids (e.g., HVDC systems). To overcome this shortcoming, this paper proposes a novel transient stability analysis method that combines bisection search and polynomial regression to accurately estimate the critical clearing time (CCT). Unlike traditional large-signal stability analysis methods, which can be applied only to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2^{\text {nd }}$</tex> order converter models, the proposed method applies to high-fidelity high-order models, with the possibility of including more complex converter dynamics such as dc-link voltage and current saturation. The proposed method is also used to investigate active power reference adaptation strategies that prioritize reactive power during current saturation, demonstrating their effectiveness in improving transient stability.

University of Trento (IT)
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.

Transient Stability in Grid-Forming Converters with Current Limitation and DC-Link Voltage Control — Elisabetta Tedeschi, Federico Cecati, et al. · (2025) | TGRS Research Map | TGRS