Special Session 10

Grid-Forming Control and Resilient Operation of Flexible Distribution Networks

专题十：主动配电网的构网型控制与韧性运行

Organizers：
Jing Zhang, Fuzhou University, China
Dan Wang, Hunan Institute of Engineering, China
Buqing Deng, State Grid Fujian Electric Power Co., Ltd. Economic and Technical Research Institute, China
Jinjie Lin, Fuzhou University, China

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Special Session Abstract

The increasing integration of distributed renewable generation, energy storage systems, and electrified loads is reshaping flexible distribution networks, creating challenges for voltage and frequency regulation, converter interactions, and disturbance recovery. Grid-forming control offers new opportunities to strengthen grid support, while its effective deployment requires coordination with grid-following resources, flexible loads, and network-level operational decisions. This session aims to explore advanced control and optimization strategies for flexible distribution networks and interconnected microgrids, with particular emphasis on multi-converter coordination, dynamic stability, and resilient operation under diverse operating conditions. Contributions addressing renewable generation, battery storage, electric vehicle charging, and other controllable resources are welcome. Topics of interest include, but are not limited to, system modeling, stability analysis, coordinated voltage and frequency control, power sharing, power quality improvement, and operational optimization considering stability and energy constraints. The session also covers fault ride-through, current limiting, transitions between grid-connected and islanded operation, black start, and service restoration. By bringing together theoretical developments, experimental studies, and engineering applications, the session seeks to advance methods that improve renewable energy utilization, energy efficiency, and reliable electricity supply during normal operation, disturbances, and recovery.

Topics of Interest and Keywords

Topics of interest include, but are not limited to:

• Multi-timescale modeling, aggregation and interaction analysis of converter-interfaced resources in flexible AC/DC distribution networks and interconnected microgrids;
• Grid-forming control, coordination with grid-following converters, and adaptive transitions between operating modes;
• Small-signal and large-disturbance stability analysis, impedance-based assessment, and mitigation of multi-converter oscillations;
• Coordinated voltage and frequency support, proportional power sharing, circulating-current suppression and power quality improvement;
• Stability-constrained scheduling and operational optimization of renewable generation, storage and flexible demand under uncertainty;
• Energy-aware coordination of battery storage, electric vehicle charging and other controllable loads, considering state of charge, power reserves and equipment limits;
• Fault ride-through, current limiting, synchronization stability and coordinated post-fault recovery of converter-based resources;
• Intentional islanding, grid-connected and islanded transitions, black start, and prioritized restoration of critical loads;
• Real-time simulation, hardware-in-the-loop testing, experimental demonstrations and field applications of coordinated control and resilient operation.
• Data- and model-driven wideband impedance measurement and stability assessment for converter-dominated AC/DC systems, including non-intrusive measurement methods and impedance reshaping strategies.

Keywords

• Flexible distribution networks; Grid-forming control; Grid-following and grid-forming coordination; Multi-converters stability; Wideband impedance measurement; Coordinated energy storage; Stability-constrained optimization; Demand flexibility; Resilient operation; Black start.

Bios of Organizers

Jing Zhang (Member, IEEE) received the B.S. degree and the Ph.D. degree in electrical engineering from Hunan University, Changsha, China, in 2018 and 2024, respectively. Since July 2025, she has been an associate researcher in the College of Electrical Engineering and Automation at Fuzhou University.

Dan Wang received the B.S. degree in electrical engineering and automation from Shaoyang University, Shaoyang, China, in 2012, and the M.Sc. and Ph.D. degrees in electrical engineering from the College of Electrical and Information Engineering, Hunan University, Changsha, China, in 2014 and 2026, respectively. She worked in electrical R&D and design at China Railway Construction Heavy Industry Corporation Limited for about seven years. Since July 2026, she has been a double-professionally-titled teacher in the College of Electrical and Information Engineering at Hunan Institute of Engineering.

Buqing Deng (Member, IEEE) received the Ph.D. degrees in electrical engineering in 2023 from the College of Electrical and Information Engineering, Hunan University, Changsha, China. Since October 2023, he has been an electrical engineer at State Grid Fujian Electric Power Co., Ltd. Economic and Technical Research Institute.

Jinjie Lin (Member, IEEE) received the B.S. degree, M.E. degree, and Ph.D. degrees in electrical engineering in 2018, 2020 and 2024, respectively, from the College of Electrical and Information Engineering, Hunan University, Changsha, China. Since October 2024, he has been an associate researcher in the College of Electrical Engineering and Automation at Fuzhou University.