Stability enhancement and parameter optimization of grid-forming converter control strategy considering overcurrent protection
• A transient stability enhancement strategy using negative asymmetric virtual impedance is proposed to raise power‑angle curve and increase power transfer margin. • An improved overcurrent protection strategy based on virtual power‑angle limiting is introduced, requiring no additional fault detection and working under both frequency and voltage transients. • The effectiveness and superiority of the proposed control strategies and parameter optimization are verified through theoretical analysis and MATLAB/Simulink simulations. With the rapid development of renewable energy, the scale of traditional grid-following renewable energy installations continues to increase. Due to the lack of active support voltage sources like traditional synchronous generators, power grid stability issues are becoming increasingly prominent. Grid-forming converters are inherently voltage sources, capable of actively establishing voltage and frequency, providing inertia support for the system, which is beneficial for improving system stability. Developing grid-forming renewable energy with active support capabilities has become a primary solution. Therefore, starting from the perspective of enhancing the transient stability of grid-forming converters, this paper proposes a transient stability enhancement strategy based on negative asymmetric virtual impedance and a virtual power angle current limiting method considering overcurrent protection strategy. It reveals the transient stability characteristics of grid-forming converters and further verifies the effectiveness of the proposed method under large grid conditions, providing a reference for further research and application of grid-forming converters.
Authors
- Haiyun Wang (ORCID: https://orcid.org/0000-0002-7911-0055)
- Yinzhang Peng (ORCID: https://orcid.org/0000-0002-1009-3082)
- Liang Zhang (ORCID: https://orcid.org/0000-0002-2694-1779)
- Wenxin Li
- Qi Zhao
Institutions
- Electric Power Research Institute (US)
- Inner Mongolia Electric Power (China) (CN)
- Xinjiang University (CN)
Publication Details
- Journal
- International Journal of Electrical Power & Energy Systems
- Published
- 2026-03-23
- DOI
- https://doi.org/10.1016/j.ijepes.2026.111785
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00