Special Session 11

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Situation Awareness, Coordinated Operation, and Planning of New Power System


Motivated by the need to realize energy transition and build low carbon energy systems, renewable energy sources, such as wind and PV power generations, providing desirable green energy, have developed rapidly in recent years. Henceforth, expediting the substitution of conventional fossil fuel-based power generation with renewable energy sources and fostering the development of a new power system characterized by high penetration of renewable energy sources stands as a principal trajectory in the advancement of power systems in China. However, the high penetration of renewable energy sources will lead to significant changes in the transmission and distribution patterns and stabilization characteristics of the power system, which poses significant challenges for the operation and control of the new power system. Therefore, it is urgent to have real-time operational insights to ensure seamless and efficient grid operation of the new power system. And it is also necessary to explore coordinated operation and planning strategies for the new energy system to fully realize the adjustable potential of flexible resources and further improve system resilience.
Given this background, this session intends to shed light on the significance, challenges, and strategies associated with operation situation awareness, flexible coordinated interaction control, and planning of the new energy system. Meanwhile, it aims to provide a platform for experts, researchers, and industry practitioners to share recent advancements and methodologies surrounding situation awareness, coordinated operation, and planning to provide essential support for system operators to monitor the real-time operation status, predict future development trends, and formulate the operational control and coordinated planning strategies for the new energy system.


Topics of this special session include, but are not limited to:
1. Operation Situation awareness of the new energy system 新型电力系统运行态势感知
Real-time operation state sensing of the new energy system 新型电力系统的实时运行状态感知技术
Data-driven load and renewable energy output forecast in the new energy system 数据驱动的新型电力系统负荷和新能源出力预测技术
Future operational trends forecast of the new energy system 新型电力系统的未来运行趋势预测技术
2. Coordinated operation and energy management of the new energy system 新型电力系统能量管理及协调优化运行
Optimal operation and control of flexible resources in the new energy system 新型电力系统中灵活资源的最优运行和控制策略
Decentralized control of distributed resources in the new energy system 新型电力中分布式资源的去中心化协调控制策略
Coordinated interaction control between microgrids in the new energy system 新型电力系统中多配电网、微电网的协调交互控制策略
3. Coordinated planning and resilience enhancement of the new energy system 新型系统协同规划和弹性提升
Risk and resilience evaluation of the new energy system 新型电力系统的风险和弹性评估技术
Coordinated planning techniques for multi-type resources in the new energy system 新型电力系统的多类型资源协同规划技术
Resilience enhancement strategies for the new energy system 新型电力系统的弹性提升策略

Organizer: Zhenzhi Lin, Zhejiang University, China
Co-organizer: Yuanqian Ma, Zhejiang Sci-Tech University, China
Co-organizer: Tianhan Zhang, Zhejiang University, China
Biography: Zhenzhi Lin (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the South China University of Technology, Guangzhou, China, in 2008. From 2007 to 2008, he was a Research Assistant with the Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong, Research Scholar with the Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA, from 2010 to 2011, and Research Associate with the College of Engineering and Computing Sciences, Durham University, Durham, U.K., from 2013 to 2014.
He is currently a Professor at the College of Electrical Engineering, Zhejiang University, Hangzhou, China. His research interests include power system situational awareness, power system restoration, power system economics, data mining, and artificial intelligence applications in power systems. He is also an Associate Editor for IEEE Transactions on Power Systems and IEEE Power Engineering Letters, Subject Editor of Energy Conversion and Economics (IET), and the Editor of Protection and Control of Modern Power Systems and Automation of Electric Power Systems.
他目前是浙江大学电气工程学院教授,研究方向包括电力系统态势感知、电力系统恢复、电力经济、数据挖掘和人工智能技术在电力系统中的应用等。他还是IEEE Transactions on Power Systems和IEEE Power Engineering Letters的副主编,Energy Conversion and Economics的主题编辑,以及Protection and Control of Modern Power Systems和Automation of Electric Power Systems等期刊的编辑。
Biography: Yuanqian Ma received the B.S. and Ph.D. degrees in electrical engineering and its automation from Sichuan University, Chengdu, in 2014 and 2019, respectively. She was a visiting scholar in electrical power engineering at the University of Alberta for two years. Currently, she is a Lecturer with Zhejiang Sci-Tech University, Hangzhou, Zhejiang, China. Her main research interests include power system economics, electricity market, and system economic evaluation.


Biography: Tianhan Zhang received the B.E. degree in the College of Electrical Engineering, Zhejiang University, Hangzhou, China, in 2019. He is currently a PhD candidate at the College of Electrical Engineering, Zhejiang University, Hangzhou, China. He was a visiting scholar at the Department of Department of Electrical & Computer Engineering, National University of Singapore from 2022 to 2023. His research interests include power system situation awareness, power system economics, and shared energy storage.


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