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.
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。
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.
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.
马愿谦分别于2014年和2019年在四川大学获得电气工程学士学位和博士学位。她曾在加拿大阿尔伯塔大学担任了两年访问学者。她目前是浙江理工大学讲师。她的研究方向包括电力经济，电力市场和电力系统经济性评价。
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.
章天晗于2019年获得浙江大学电气工程学院工学学士学位。他目前是浙江大学电气工程学院在读博士，曾在2022年至2023年前往新加坡国立大学电气与计算机工程系担任访问学者。他的研究方向包括电力系统态势感知、电力经济和共享储能。
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