Special Session III

Optimization Operation Technology for New-type Distribution Systems

In the context of the "dual carbon" goal, the distribution system is transitioning from a passive, unidirectional energy flow, and pure energy distribution function power network to a source network load storage and efficient configuration platform that carries new types of source loads and interacts with multiple stakeholders. In short, the new-type distribution system is an integrated carrier for large-scale distributed power sources, electric vehicle charging facilities, and other applications. It is also a key supporting force for achieving the comprehensive and efficient utilization of massive heterogeneous distributed resources, and an important foundation platform for energy conservation and emission reduction for future power users.
The purpose of this special session is to provide an opportunity for researchers and practitioners to comprehensively exchange and elaborate on the research direction of optimizing the operation of new-type distribution systems, in order to effectively guide the high-quality development and industrial application of new-type distribution systems, and further strengthen the academic exchange of global perspectives. We sincerely invite global researchers to actively contribute and share the latest perspectives.

The topics of interest include, but are not limited to:
• Optimization operation and control of new-type distribution systems
• Distributed energy storage and optimization technology for improving power quality
A new optimization method for distribution systems under strong uncertainty constraints
• New economic operation technologies for distribution networks in the electricity market environment
• Collaborative control and scheduling optimization technology for DC distribution systems
• Intelligent distribution network situation awareness technology
• Intelligent technology for electrical equipment in new-type distribution networks
• Distributed new energy and microgrid optimization operation technology
• User side intelligent distribution and intelligent electricity consumption technology
• Electric vehicles and demand side management technology


Leijiao Ge, Tianjin University, China


Leijiao Ge was born in China in 1984. He received Ph.D. degree in electrical engineering from Tianjin University, Tianjin, China, in 2016. He is currently an associate professor in the school of electrical and information engineering at Tianjin University. His main research interests are situational awareness of smart distribution network, cloud computing technology and big data of smart distribution network.


Yulong Che, Lanzhou Jiaotong University, China


Yulong Che was born in Tianshui, China in 1988. He received his Ph.D. degree in Electrical Engineering from Southwest Jiaotong University, Chengdu, China, in 2022. Since 2014, he has been with Lanzhou Jiaotong University, Lanzhou, China, where he is currently an associate professor with the School of Automation and Electrical Engineering. His current research interests include the interaction between traction power supply system and power system, uncertainty modeling of traction load and its application, uncertainty analysis of new-type power system.


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