Special Session 6
Optimal Planning and Intelligent Scheduling of Low-Carbon Integrated Energy Systems

"低碳综合能源系统最优规划与智能调度"

The transition toward low-carbon energy systems is accelerating the integration of electricity, heating, cooling, gas, hydrogen, renewable energy, and energy storage. Integrated energy systems provide an effective framework for coordinating heterogeneous energy carriers and improving overall energy efficiency, operational flexibility, renewable energy accommodation, and system resilience. However, the strong coupling among multiple energy networks, the uncertainties of renewable generation and demand, and the participation of diverse market entities pose significant challenges to system planning, operation, and scheduling.
This special session focuses on recent theoretical advances, optimization models, computational methods, and practical applications for the planning and optimal scheduling of low-carbon integrated energy systems. Particular attention will be given to the coordinated planning of energy conversion and storage facilities, multi-energy flow modelling, source-grid-load-storage interaction, carbon-emission flow analysis, and the integration of low-carbon technologies such as hydrogen energy, carbon capture, power-to-gas, and multi-type energy storage. Advanced scheduling approaches based on mathematical programming, game theory, distributed optimization, artificial intelligence, and reinforcement learning are also encouraged.
The session aims to provide a platform for researchers, engineers, and industry practitioners to exchange new ideas and discuss emerging challenges in integrated energy system development. Topics of interest include, but are not limited to:

• - Modelling and energy-flow analysis of integrated energy systems; 综合能源系统建模与多能流分析
• - Joint siting and capacity planning of multi-energy facilities; 多能设备联合选址与容量规划
• - Coordinated planning of electricity, heating, gas, and hydrogen networks; 电-热-气-氢网络协同规划
• - Optimal operation of source-grid-load-storage systems; 源网荷储协同优化运行；
• - Low-carbon scheduling and carbon-emission flow tracing; 低碳调度与碳排放流追踪
• - Renewable energy accommodation and uncertainty management; 可再生能源消纳与不确定性管理
• - Hydrogen energy, carbon capture, and multi-energy storage integration; 氢能、碳捕集及多类型储能集成
• - Demand response and electric vehicle coordination; 需求响应与电动汽车协调调度
• - Multi-agent energy trading and game-theoretic optimization; 多主体能源交易与博弈优化
• - Distributed optimization, artificial intelligence, and reinforcement learning; 分布式优化、人工智能与强化学习
• - Resilience enhancement and risk-aware scheduling; 综合能源系统韧性提升与风险调度
• - Demonstration projects and practical applications of integrated energy systems. 综合能源系统示范工程与实际应用

在“双碳”目标和能源数字化转型背景下，电、热、冷、气、氢、可再生能源及多类型储能的深度耦合已成为现代能源系统的重要发展趋势。综合能源系统能够通过多能互补与协同优化，提高能源利用效率、运行灵活性、可再生能源消纳能力和系统韧性。然而，多能网络间复杂的耦合关系、可再生能源与负荷的不确定性，以及多元市场主体的参与，给系统规划、优化运行和协同调度带来了新的挑战。
本专题聚焦低碳综合能源系统规划与优化调度领域的理论进展、建模方法、智能算法及工程应用，重点探讨多能设备联合选址定容、电—热—气—氢网络协同规划、源网荷储协调运行、碳排放流追踪以及氢能、碳捕集、电转气和多类型储能等低碳技术的集成应用。同时，欢迎数学规划、博弈论、分布式优化、人工智能和强化学习等方法在综合能源系统中的研究成果。  

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Chair: Prof. Bo Yang, Kunming University of Science and Technology, China

Prof. Bo Yang received a full scholarship from the China Scholarship Council (CSC) to pursue his Ph.D. degree in the Department of Electrical Engineering and Electronics at the University of Liverpool, U.K., and obtained his Ph.D. degree in December 2015. He has authored two Chinese-language monographs as the first author and published more than 200 SCI-indexed journal papers, including 11 ESI Highly Cited Papers and three ESI Hot Papers, as well as over 40 EI-indexed journal papers. He has led 41 research projects, including three projects funded by the National Natural Science Foundation of China and five provincial-level research projects funded by Yunnan Province.
He received the First Prize of the Electric Power Innovation Award in the Technical Category from the China Electricity Council in October 2018, the Second Prize of the China Industry-University-Research Institute Collaboration Innovation Award in December 2018, and the First Prize of the Science and Technology Progress Award from Yunnan Power Grid Co., Ltd. in December 2023. He was selected for the Young Top-Notch Talent Program under the inaugural “Ten Thousand Talents Program of Yunnan Province” in December 2018. He was named an Elsevier Highly Cited Chinese Researcher for five consecutive years from 2021 to 2025 and was included in both the career-long and single-year impact lists of the World’s Top 2% Scientists for four consecutive years from 2022 to 2025. He was also recognized as a CNKI Top 1% Highly Cited Scholar in both 2024 and 2025. In 2023, he undertook a CSC-funded academic visit to the University of Liverpool.
Prof. Yang serves as a member of the Youth Working Committee of the Eighth Council of the China Electrotechnical Society; an executive director of both the Energy Information and Social Systems Subcommittee and the Artificial Intelligence Applications in Dynamic Power Systems Subcommittee under the IEEE PES China Smart Grid and Emerging Technologies Committee; and a senior consulting expert of the Yunnan Electric Power Industry Association. He served as a keynote speaker at CEECT 2025 and ICGEPS 2026 and as General Chair of the IEEE International Conference on Power Science and Technology (ICPST 2023–2026). He also serves on the editorial boards of more than 20 SCI-indexed, EI-indexed, and Chinese core journals.