Special Session 1


Topic 1: Stability Control and Operation of Grid-Forming Converters


As renewable energy penetration continues to increase, grid-forming converters are becoming essential for power systems with a high share of converter-interfaced resources because they can actively establish voltage and frequency, provide inertia-like support, and improve weak-grid adaptability. This Special Session focuses on the modeling, control, stable operation, and engineering applications of grid-forming converters. Topics include multi-timescale dynamic analysis, small-signal and transient stability, fault-current limitation, fault ride-through, voltage and frequency support, and applications in wind power, photovoltaic generation, energy storage, microgrids, and islanded systems. The session aims to connect theoretical research with industrial practice, promote the standardization of grid-forming technologies, and support their reliable large-scale deployment in future power grids.


Chair

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Prof. Yunhui Huang

Wuhan University of Technology

Yunhui Huang is a Professor and Head of the Department of Applied Electronic Engineering at Wuhan University of Technology. He is a Senior Member of the China Power Supply Society and a council member of the Wuhan Power Supply Society. His research focuses on the stability and control of renewable-energy grid integration. He has led or participated in projects funded by the National Natural Science Foundation of China, the National Key R&D Program, the Guangdong Offshore Wind Power Joint Fund, state key laboratories, State Grid Corporation of China, and China Southern Power Grid. He has published 45 academic papers, including 12 SCI-indexed and 19 EI-indexed papers, with 836 citations (data source: Web of Science). His honors include the Second Prize of the China Power Supply Society Natural Science Award, the SPEED Excellent Paper Award, the CIEEC Best Paper Award, the CEEPE Best Presentation Award, and the CEEPE Outstanding Young Scientist title. He was listed among the world’s top 2% scientists from 2022 to 2024.

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