Special Session 11

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

新型电力系统的态势感知、协调运行与规划

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
Real-time operation state sensing of the new energy system
Data-driven load and renewable energy output forecast in the new energy system
Future operational trends forecast of the new energy system

2. Coordinated operation and energy management of the new energy system
Optimal operation and control of flexible resources in the new energy system
Decentralized control of distributed resources in the new energy system
Coordinated interaction control between microgrids in the new energy system

3. Coordinated planning and resilience enhancement of the new energy system
Risk and resilience evaluation of the new energy system
Coordinated planning techniques for multi-type resources in the new energy system
Resilience enhancement strategies for the new energy system

为实现能源转型、建设低碳能源系统,风能、光伏发电等可再生能源近年来发展迅速,为人们提供了理想的绿色能源。因此,加速推动可再生能源发电替代传统化石能源发电,构建可再生能源占比逐渐提高的新型电力系统成为了中国电力系统发展的主要方向。然而,可再生能源高比例接入导致电力系统的输配电形态及稳定特征发生了显著变化,这为新型电力系统的运行和控制带来了显著的难题。为此,亟需对新型电力系统的实时运行状况进行感知,以确保系统的安全、可靠、高效运行。与此同时,也有必要探索新型电力系统的协调运行策略及规划策略,以充分发掘系统中灵活性资源的可调节潜力,提高系统的弹性。

在此背景下,本专栏旨在深度探讨新型电力系统的运行态势感知、灵活协调互动控制及协同规划的意义、挑战和相关策略。同时,会议旨在为专家、研究人员和相关行业从业人员提供一个自由的交流平台,分享围绕态势感知、协调运行和协同规划的最新进展和方法,为系统管理者实时监控系统运行状态、预测系统未来发展趋势、制定新型电力系统的协调运行控制策略及协同规划策略提供技术支持。 本专栏感兴趣的主题包括但不限于:

1. 新型电力系统运行态势感知
新型电力系统的实时运行状态感知技术
数据驱动的新型电力系统负荷和新能源出力预测技术
新型电力系统的未来运行趋势预测技术

2. 新型电力系统能量管理及协调优化运行
新型电力系统中灵活资源的最优运行和控制策略
新型电力中分布式资源的去中心化协调控制策略
新型电力系统中多配电网、微电网的协调交互控制策略

3. 新型系统协同规划和弹性提升
新型电力系统的风险和弹性评估技术
新型电力系统的多类型资源协同规划技术
新型电力系统的弹性提升策略

 

Organizer: Changming Chen, Fuzhou University, China
 
Biography: Changming Chen received the B.S. degree in electrical engineering from Fuzhou University, Fuzhou, in 2019, and received the Ph.D. degree in electrical engineering from Zhejiang University, Hangzhou, in 2024. He is a Lecturer with Fuzhou University, Fuzhou, China. His main research interests include power system restoration, integrated energy system and shared energy storage.

陈昌铭于2019年在福州大学获得电气工程学士学位,并于2024年在浙江大学获得电气工程博士学位。他目前是福州大学讲师。他的研究方向包括电力系统恢复、综合能源系统与共享储能。

Organizer: Zhenzhi Lin, 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 editorial board member of Journal of Modern Power Systems and Clean Energy, Protection and Control of Modern Power Systems, and Automation of Electric Power Systems.
 
林振智(IEEE高级会员),于2008年在华南理工大学获得电气工程博士学位。2007年-2008年,他曾前往香港理工大学电气工程学院担任科研助理;2010年-2011年,他在美国田纳西大学电气与计算科学系担任访问学者;2013年-2014年,他在英国杜伦大学电气与计算科学系担任研究助理。
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Journal of Modern Power Systems and Clean Energy、Protection and Control of Modern Power Systems和电力系统自动化等期刊的编委。

 
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