Special Session 5

Flexible Resources Utilization in the New-type Power Systems
新型电力系统中的灵活资源利用

Against the backdrop of high-penetration renewable energy integration, flexible resources are evolving from marginal adjusters into active control variables that can no longer be ignored in the new-type power systems. Distributed storage, thermostatically controlled loads, hydrogen-electric coupling devices, vehicle-to-grid interactions, and other heterogeneous resources provide response capabilities spanning milliseconds to hours. Portraying their cross-temporal and cross-spatial flexibility and coordinating multi-agent decisions have become central scientific challenges. This special session focuses on key technologies for “modeling, planning, and operation of flexible resources,” jointly exploring a new paradigm of generation–grid–load–storage synergy. Submissions are invited on topics including, but not limited to, aggregate modeling, planning and sizing, optimal dispatch, resilience and security assessment, and market mechanism design for flexible resources.

高比例新能源接入背景下，灵活资源逐渐成为新型电力系统中不可忽视的主动控制变量。分布式储能、温控负荷、氢-电耦合装置、车-网互动单元等异质灵活资源具备毫秒到小时级等多时间颗粒度的响应能力。如何刻画其跨时空弹性及协同其多主体决策，已成为新型电力系统面临的核心科学问题。本专题聚焦“灵活资源的建模、规划与运行”关键技术，共探源-网-荷-储协同的新范式。本次征稿包括但不限于灵活资源聚合建模、规划配置、优化调度、弹性安全评估、市场机制设计等主题。

	Jilin Cai, Nanjing Tech University 蔡霁霖，南京工业大学		Wenqian Yin, Nanjing Tech University 殷文倩，南京工业大学
Jilin Cai received a B.S. degree and a Ph.D. degree in Electrical Engineering from Southeast University, Nanjing, China, in 2013 and 2019, respectively. He is currently a Lecturer in the College of Electrical Engineering and Control science at Nanjing Tech University, Nanjing, China. His research interests include optimal planning and operation of new-type power systems.		Wenqian Yin received the B.E. in electrical engineering from Jiangsu University, Zhenjiang, China, in 2015, the M.S. degree in electrical engineering from Hohai University, Nanjing, China, in 2018, and the Ph.D. degree in electrical engineering from The University of Hong Kong, Hong Kong, China, in 2022. She is currently a lecturer with School of Energy Science and Engineering, Nanjing Tech University, Nanjing, China. She was a Visiting Scholar with University of Central Florida, Orlando, FL, USA, and a Research Associate with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China. Her research interests include resilient planning and operation of renewable-penetrated power systems.
	Yixing Ding, Nanjing Tech University 丁逸行，南京工业大学		Yongli Ji, Nanjing Institute of Technology 吉用丽，南京工程学院
Yixing Ding received a B.S. degree in Electrical Engineering and Automation from Hefei University of Technology, China, in 2017, and a Ph.D. degree in Electrical Engineering from Southeast University, China, in 2022. During her doctoral studies, she was a joint-training doctoral student at Nanyang Technological University, Singapore, in 2020. She is currently a Lecturer in the College of Electrical Engineering and Control Science at Nanjing Tech University, China. Her research interests include energy storage configuration and integrated energy system planning and dispatch.		Yongli Ji received the B.Sc degree in electrical engineering and automation from Hohai University, Nanjing, China, in 2016, and the Ph.D. degree in electrical engineering from Southeast University, Nanjing, China, in 2022. She is currently working as a Lecturer in Nanjing Institute of Technology, Nanjing, China. Her research interests include smart grid, virtual power plant and demand-side management.
	Qihua Cheng, Nanjing Institute of Technology 程啟华，南京工程学院		Zhihao Yang, Yangzhou University 杨志豪，扬州大学
Qihua Cheng received the B.S. degree and the Ph.D. degree in testing and measuring techniques and instruments from Nanjing University of Science and Technology, Nanjing, China, in 2002 and 2008, respectively. From 2008 to 2014, she is a lecturer at the Industrial Center of Nanjing Institute of Technology. From 2014 to now, she is an associate professor at the Industrial Center of Nanjing Institute of Technology. Her current research interests include sensors and detections technologies and intelligent measurement and control systems.		Zhihao Yang received a B.S. degree in Electrical Engineering and Automation from Jiangsu University of Science and Technology, Zhangjiagang, China, in 2016, a M.S. degree and a Ph.D. degree in Power Systems and Automation and Electrical Engineering from Hohai University, Nanjing, China, in 2019 and 2023, respectively. He was a Research Student in the Department of Electrical & Computer Engineering at National University of Singapore from 2022 to 2023. He is currently a Lecturer in the College of Electrical, Energy and Power Engineering at Yangzhou University, Yangzhou, China. His research interests include distribution network operation and demand response.