Special Session 2
Flexible Interaction Between Power Grids and Low-Carbon Industrial Energy-Use Clusters

"电网与低碳用能工业负荷集群灵活互动"

The rapid expansion of large-scale renewable energy bases and the growing demand for deep decarbonization in steel, coking, chemical, and shipbuilding industries are reshaping the interaction between power grids and industrial energy-use clusters. These industrial clusters possess complex multi-energy load characteristics, covering electricity, heat/cooling, hydrogen, and gas, which exhibit strong temporal coupling, therefore, leading to diverse and underutilized flexibility potentials. At the same time, renewable energy bases face significant multi-dimensional uncertainties, making coordinated, intelligent, and market-oriented grid–industry interaction increasingly essential.
This special session focuses on flexible interaction mechanisms between power grids and low-carbon industrial energy-use clusters under high renewable penetration. Key topics include quantification of industrial load flexibility, virtual energy storage modeling for time-coupled processes, and convex or relaxed representations of multi-timescale adjustment constraints. The session also encourages research on data-mechanism hybrid forecasting methods for multi-spatiotemporal uncertainties, adaptive renewable-load interaction strategies, and multi-agent coordinated control frameworks that couple renewable bases with steel and related industrial clusters.
In addition, market-oriented mechanisms play a central role in enabling industrial enterprises to participate in spot, ancillary service, and demand response markets. Modeling the risk–revenue characteristics of industrial participation and designing optimal bidding or scheduling strategies are essential to unlocking flexible resources. This session also welcomes contributions involving integrated simulation platforms that combine real industrial production data, multi-energy market models, and semi-physical hardware verification systems, as highlighted in the collaborative architecture involving utilities, research institutions, and industrial enterprises.
Ultimately, this session aims to advance the technical foundation for near-zero-carbon green steelmaking and broader industrial decarbonization. By promoting synergistic development of forecasting, optimization, control, and market mechanisms, the session seeks to support large-scale renewable consumption, enhance industrial flexibility, and reinforce the resilience and intelligence of future power systems.

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Chair: Dr. Feixiang Gong, China Electric Power Research Institute, China

Dr. Feixiang Gong, Senior Engineer in Engineering. He has been engaged in long-term research on virtual power plants, big data analysis of distribution and utilization of electricity, smart electricity, and demand-side coordinated optimization, accumulating extensive experience in both scientific research and engineering practice. As a member of the IEC TC57 and IEC SyC Smart Energy working groups, he has participated in the development of one international standard and two national standards, demonstrating a solid foundation in standardization research. He has been granted 5 national invention patents, and presided over or participated in 7 national projects, including the National Key R&D Program and international cooperation projects funded by the Ministry of Science and Technology of China, as well as more than 10 scientific research projects of the State Grid Corporation of China. He has received 3 provincial and ministerial-level Science and Technology Progress Awards, and the First Prize of the China Electric Power Research Institute Science and Technology Progress Award (ranked first). Additionally, he was awarded the title of “Outstanding Employee of the Year 2022” by the China Electric Power Research Institute Co., Ltd., in recognition of his significant contributions and leadership in scientific research and engineering applications. 

Chair: Assoc. Prof. Liye Zhao, Shandong Agricultural and Engineering University, China

Liye Zhao, Associate professor. For a long time, I have been engaged in research on dynamic wake control and modeling, wind turbine fault diagnosis, offshore wind-wave coupling energy loading mechanism, wake prediction and control of offshore wind farms, etc., and have accumulated rich scientific research and engineering practice experience. Five national invention patents have been obtained, and five scientific research projects have been led or participated in, including key national research and development programs and international cooperation projects of the Ministry of Science and Technology of China. Three provincial and ministerial-level science and technology awards have been won. Reviewer for the international journal "Energy".