Special Session 6

Topics (Including but not limited to)

• 1. Modeling, simulation, and digital-twin technologies of power electronics in power system, including inverter-DG, energy storage system, and electric vehicle charging piles.
  电力系统中电力电子设备的建模、仿真与数字孪生技术，涵盖分布式发电中的逆变器、储能系统以及电动汽车充电设施。
• 2. Advanced control methods for power electronics in power system, such as sliding mode control, model predictive control, and fuzzy control.
  电力系统中电力电子设备的先进控制策略，如滑模控制、模型预测控制和模糊控制等。
• 3. AI-Enabled control methods and AI-Physics hybrid control methods for power system.
  面向电力系统的AI赋能控制方法与AI-物理融合控制方法。
• 4. Power system planning and dispatch optimization of flexible resources, including energy storage systems, electric vehicle aggregators, and demand-side response.
  灵活资源的电力系统规划与优化调度，包括储能系统、电动汽车聚合商和需求侧响应。
• 5. Design and trading mechanisms for low-carbon electricity markets, frequency regulation markets, and integrated carbon markets.
  低碳电力市场、频率调节市场及碳市场的机制设计与交易策略。

Chair: Dr. Li Liu, Guangxi University, China

Li Liu was born in Shanxi, China, in 1992. He received the B.S. degree in electrical engineering (and automation) from the Harbin Institute of Technology, Harbin, China, in 2014, and the M.Sc. and Ph.D. degree from the University of Macau, Macau, China, in 2017 and 2021, respectively.
He is currently working with the School of Electrical Engineering, Guangxi University, Nanning, China. His research interests include electric traction power quality compensation, modular multilevel converter, and control of multilevel converter.

Co-chair: Dr. Jianhua Gong, University of Macau, China

Jianhua Gong was born in Tianshui, China. He obtained his B.S. degree in electrical engineering from Wuhan University, Wuhan, China, in 2019. From 2020 to 2021, he was a research assistant with the State Key Laboratory of Internet of Things for Smart City, University of Macau, where he is currently working towards the Ph.D. degree in electrical and computer engineering. His research interests include convex optimization, the application of artificial intelligence (AI) in power system, and physics-informed AI.

Co-chair: Assoc. Prof. Lidan Chen, Guangzhou Maritime University, China

Lidan Chen (Member of the IEEE) received the B.S. degree in Automation from Hangzhou Dianzi University, Hangzhou, China, in 2003 and the M.S. degree and Ph.D. degree in Power System and its Automation from South China University of Technology, Guangzhou, China, in 2009 and 2018, respectively. She served on building automation at Hangzhou Hongxin Intelligent Technology Co., Ltd during 2003 to 2006. In 2009, she joined Guangzhou City University of Technology, where she has been with the Electrical Engineering Department. From 2012 to 2014, she was a Research Assistant with the Hong Kong Polytechnic University. From 2018 to 2019, she became a visiting scholar with the Michigan Technological University. And from 2020 to 2022, she was a post-doctor fellow in the State Key Laboratory of Internet of Things for Smart City at University of Macau, Taipa, China. Following this, she was employed by her present university, Guangzhou Maritime University, which she has served as Associate Professor at School of Shipping and Maritime Studies. Her research interests span the areas of electrical, thermal, and transportation engineering. Currently, she has been focusing on Advanced distribution grid technologies, EV-transportation-energy grid interaction and Artificial intelligence for power system optimization.