Reactive Power Characteristics and FRT Strategy for Grid-Forming Converters With Virtual Impedance-Based Current Limiting

Grid-forming (GFM) converter is a promising interface for integrating renewable energy sources. During grid faults, GFM converters inherently contribute to reactive power support, while current limiting can significantly affect the reactive power characteristics and pose challenges for grid code compliance. In this study, the impacts of virtual impedance (VI)-based current limiting on reactive power characteristics of GFM control are investigated. It reveals that the VI may cause phase offset and deterioration of the natural and instant reactive power support capability, and the subsequent reactive power response faces a coupling with the active power control due to the current magnitude limitation. Leveraging these characteristics, an enhanced fault ride-through (FRT) strategy is proposed. Firstly, the VI impedance angle is recommended to match the equivalent connection impedance, which inherits the natural power support capability of GFM converters and improves instant voltage support capability. Secondly, an FRT strategy based on dynamic active power limitation is proposed for fulfilling the grid code and enhancing the subsequent reactive power support. The effectiveness of the proposed strategy is validated through comparative time-domain simulations.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Energy Conversion
Published
2024-10-14
DOI
https://doi.org/10.1109/tec.2024.3479726
Citations
7
Primary Topic
Multilevel Inverters and Converters
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reactive Power Characteristics and FRT Strategy for Grid-Forming Converters With Virtual Impedance-Based Current Limiting

Kailun Wang, Biao Zhao, Pinjia Zhang, Wen-Hua Liu et al.
7 citations
IEEE Transactions on Energy Conversion
Multilevel Inverters and Converters
1.46
article

Reactive Power Characteristics and FRT Strategy for Grid-Forming Converters With Virtual Impedance-Based Current Limiting

Kailun Wang, Biao Zhao, Pinjia Zhang, Wen-Hua Liu, Qiang Song
article en
7 citations

Abstract

Grid-forming (GFM) converter is a promising interface for integrating renewable energy sources. During grid faults, GFM converters inherently contribute to reactive power support, while current limiting can significantly affect the reactive power characteristics and pose challenges for grid code compliance. In this study, the impacts of virtual impedance (VI)-based current limiting on reactive power characteristics of GFM control are investigated. It reveals that the VI may cause phase offset and deterioration of the natural and instant reactive power support capability, and the subsequent reactive power response faces a coupling with the active power control due to the current magnitude limitation. Leveraging these characteristics, an enhanced fault ride-through (FRT) strategy is proposed. Firstly, the VI impedance angle is recommended to match the equivalent connection impedance, which inherits the natural power support capability of GFM converters and improves instant voltage support capability. Secondly, an FRT strategy based on dynamic active power limitation is proposed for fulfilling the grid code and enhancing the subsequent reactive power support. The effectiveness of the proposed strategy is validated through comparative time-domain simulations.

IEEE Transactions on Energy ConversionVol. 40(2)
Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 17%
Multilevel Inverters and Converters
1.46
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.