Special Session 1
Source-Grid-Load-Storage Flexible Interaction and Operational Control Technologies

"源网荷储灵活性互动与运行控制技术"

With the large-scale integration of flexible resources into the power grid, the traditional distribution network—primarily characterized by unidirectional power supply—is undergoing a profound transformation, gradually evolving toward a new type of distribution system with bidirectional power flow capabilities and advanced intelligence. In this transition, fully exploiting and optimally allocating "source-grid-load-storage" flexible resources—such as distributed generation, flexible loads, energy storage systems, and network infrastructure—has become crucial for enhancing the operational reliability, economic efficiency, and renewable energy integration capacity of the power system. This research topic aims to explore core methodologies for the coordinated operation and control of source-grid-load-storage systems. By deeply integrating advanced information technologies such as the Internet of Things and big data cloud platforms, power electronics conversion and control technologies, multi-objective mathematical programming theories, and artificial intelligence algorithms including machine learning and deep learning, a coordinated optimization framework adaptable to high-penetration renewable energy integration will be established. The study focuses on the active support capabilities of these methodologies in operational control, optimized scheduling, and resilience enhancement, with the goal of providing innovative perspectives for building a secure, efficient, and intelligent grid of the future.

随着灵活性资源大规模接入电网，传统以单向供电为主要特征的配电网正经历深刻变革，逐步向具有双向互动能力、高度智能化的新型配电网演进。在这一转型过程中，如何充分挖掘并优化配置分布式电源、柔性负荷、储能系统以及网络结构等"源-网-荷-储"灵活性资源，成为提升电力系统运行可靠性、经济性与新能源消纳能力的关键。本专题旨在探讨源网荷储协同运行控制的核心方法，通过深度融合物联网、大数据云平台等先进信息技术，电力电子变换与控制技术，多目标数学规划理论，以及机器学习、深度学习等人工智能算法，构建适应高比例可再生能源接入的协调优化框架。聚焦其在运行控制、优化调度及弹性增强等方面的主动支撑能力，以期为构建安全、高效的新型智能电网提供创新视角。  

Relevant Topics (including but not limited to):
1）Construction of an Operation and Control Model for Source-Grid-Load-Storage Systems | 源网荷储运行控制模型构建
2）Spatio-Temporal Complementary Coordinated Optimization Scheduling Method | 时空互补协调的优化调度方法
3）Resilience-Oriented Collaborative Restoration Strategy | 以弹性提升为导向的协同恢复策略
4）Control Theory of Flexible Power Electronic Devices | 柔性电力电子设备的控制理论
5）Applications of Advanced Artificial Intelligence Technologies | 先进的人工智能技术应用

---

 

Chair: Dr. Tao Zhang, Hefei University of Technology, China

Dr. Tao Zhang, Master Supervisor at Hefei University of Technology, an IEEE Member, and a reviewer for journals including IEEE TSG, IEEE TSTE, IEEE TPWRD and Applied Energy. His research primarily focuses on optimal operation of flexible distribution networks, power system restoration, and AI applications in power systems. He has presided over or participated in over 10 projects such as the National Natural Science Foundation of China, National Key R&D Program of China, Anhui Province University Collaborative Innovation Projects, and State Grid Corporation Headquarters Science and Technology Projects. In the past five years, he has published more than 20 SCI/EI-indexed papers (including 10 in SCI Q1 Top Journals), holds 7 granted/pending Chinese invention patents, and has contributed to one monograph.  

Chair: Dr. Jie Wang, Shanghai Jiao Tong University, China

Jie Wang is an Assistant Researcher at Shanghai Jiao Tong University, specializing in the control and operation of grid-forming new energy storage systems. He has published over 20 academic papers in renowned journals and international conferences, including IEEE Transactions on Power Systems, IEEE Transactions on Power Delivery, IEEE Transactions on Transportation Electrification, IEEE International Transactions on Electrical Energy Systems, Proceedings of the CSEE, and IEEE PES General Meeting. Among these publications, two are classified as CAS Zone 1, one is an ESI Highly Cited Paper (top 1% globally), and 13 are EI-indexed. He received the IET PRG Best Conference Paper Award and has applied for 10 invention patents, with six already granted. His notable awards include the 2024 First Prize for Scientific and Technological Progress from the Chinese Electrotechnical Society, the 2024 Special Prize for Scientific and Technological Progress from the Chinese Society of Naval Architects and Marine Engineers, and the Second Prize for Scientific and Technological Progress from the State Grid Corporation of China. He served as a session chair at the PandaFPE2023 conference and as a guest editor for journals such as Electronics.  

Chair: Dr. Youjun Deng, Southwest Petroleum University, China

Dr. Youjun Deng, a Tianfu-Emei Young Talent of Sichuan Provincial High-level Talent Program, currently serves as Assistant to the Dean, Lecturer, and Master’s Supervisor at the School of Electrical and Information Engineering, Southwest Petroleum University. He is also a council member of the Large Power Grid Planning Technology Subcommittee under the IEEE PES China Technical Committee on Operation, Planning, and Economics. Additionally, he holds youth editorial positions for high-impact journals including Protection and Control of Modern Power Systems and IET Energy Conversion and Economics. Dr. Deng has led 2 research projects including the National Natural Science Foundation of China (NSFC) and served as a key researcher in multiple national-level projects. He has published over 35 peer-reviewed papers in prestigious journals, with one research achievement successfully commercialized.