Transient stability enhancement control strategy for grid-forming converter and synchronous machine parallel systems considering current limiting

Grid-forming control is currently a research hotspot for renewable energy grid-connected converters due to its inherent capabilities of providing inertia and voltage support, and it can serve as the primary control mode for renewable energy-synchronous machine hybrid transmission systems. During large grid disturbances such as faults, transient instability can readily occur in grid-forming converter-synchronous machine parallel systems. Concurrently, current saturation in the grid-forming converter alters the system's transient instability characteristics, necessitating specific control of the converter to enhance the parallel system's transient stability. To address the aforementioned issues, this paper proposes a transient stability enhancement control strategy based on dynamic current-limiting phase control for parallel systems, activated when the grid-forming converter enters current limiting. By dynamically regulating the current phase angle, the strategy enables active adjustment and dynamic allocation of active and reactive power from the grid-forming converter. This extends the fault critical clearance time of the grid-forming converter-synchronous machine parallel system, thereby enhancing the transient stability. By developing a grid-forming converter-synchronous machine parallel system simulation model on the PSCAD/EMTDC platform and applying a three-phase short-circuit fault to ground, the correctness and effectiveness of the proposed control strategy were validated.

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Publication Details

Journal
IET conference proceedings.
Published
2026-02-19
DOI
https://doi.org/10.1049/icp.2025.3934
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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Transient stability enhancement control strategy for grid-forming converter and synchronous machine parallel systems considering current limiting

Jinglei Deng, Liangzhong Yao, Fei Yang, Shi Chen et al.
IET conference proceedings.
Microgrid Control and Optimization
article

Transient stability enhancement control strategy for grid-forming converter and synchronous machine parallel systems considering current limiting

Jinglei Deng, Liangzhong Yao, Fei Yang, Shi Chen, Shuai Liang
article en

Abstract

Grid-forming control is currently a research hotspot for renewable energy grid-connected converters due to its inherent capabilities of providing inertia and voltage support, and it can serve as the primary control mode for renewable energy-synchronous machine hybrid transmission systems. During large grid disturbances such as faults, transient instability can readily occur in grid-forming converter-synchronous machine parallel systems. Concurrently, current saturation in the grid-forming converter alters the system's transient instability characteristics, necessitating specific control of the converter to enhance the parallel system's transient stability. To address the aforementioned issues, this paper proposes a transient stability enhancement control strategy based on dynamic current-limiting phase control for parallel systems, activated when the grid-forming converter enters current limiting. By dynamically regulating the current phase angle, the strategy enables active adjustment and dynamic allocation of active and reactive power from the grid-forming converter. This extends the fault critical clearance time of the grid-forming converter-synchronous machine parallel system, thereby enhancing the transient stability. By developing a grid-forming converter-synchronous machine parallel system simulation model on the PSCAD/EMTDC platform and applying a three-phase short-circuit fault to ground, the correctness and effectiveness of the proposed control strategy were validated.

IET conference proceedings.Vol. 2025(38)
Electric Power Research Institute (US), State Grid Corporation of China (China) (CN), Shanghai Electric (China) (CN), Wuhan University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 51%
Microgrid Control and Optimization
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