Guoqing Gao, Shan He, Frede Blaabjerg. Transient Stability Analysis and Protection of Power-Converter-Dominated Power Systems: A Review and Outlook[J]. CSEE Journal of Power and Energy Systems, 2026, 12(3): 1122-1140.
DOI:
Guoqing Gao, Shan He, Frede Blaabjerg. Transient Stability Analysis and Protection of Power-Converter-Dominated Power Systems: A Review and Outlook[J]. CSEE Journal of Power and Energy Systems, 2026, 12(3): 1122-1140. DOI: 10.17775/CSEEJPES.2025.06420.
Transient Stability Analysis and Protection of Power-Converter-Dominated Power Systems: A Review and Outlook
摘要
Abstract
The rapid integration of inverter-based resources (IBRs) is fundamentally transforming traditional power systems into power-converter-dominated power systems (PCDPS)
creating unprecedented challenges for transient stability and protection. This paradigm shift from physics-defined synchronous generator dynamics to software-defined IBR behavior manifests as reduced short-circuit levels due to severely limited fault currents
software-controlled phase angles
suppressed negative-sequence injection
high rates of change of frequency (RoCoF)
and complex multi-timescale dynamics. These developments challenge classical stability analysis methods and compromise conventional protection schemes. This comprehensive review examines emerging solutions across three domains: innovative stability methods to address multi-timescale dynamics
protection techniques resilient to IBR fault characteristics
and advanced controls to enhance system strength. We emphasize integrated stability-protection co-design
multi-domain co-simulation
and critical grid code evolution. Future research must prioritize scalable large-signal tools
grid-strength-robust GFM strategies
and cyber-physical resilience frameworks. Securing PCDPS requires holistic methodologies to transform inherent fragility into operational resilience.
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references
20. S. Ghosh, M. K. Bakhshizadeh, G. Y. Yang, and L. Kocewiak. ( 2023, Nov. ). Nonlinear stability boundary assessment of multi-converter systems based on reverse time trajectory, arXiv : 2311.15785. [Online ] . Available: https://arxiv.org/abs/2311.15785