Special Session Introduction

Energy storage (ES) plays a significant role in promoting energy green transition, safeguarding energy operation security, and facilitating the realization of double-carbon goals. However, the benefits and efficiency of deploying ES are limited for the lack of a sound cost channeling mechanism and corresponding transaction norms. Appropriate coordinated optimization modeling, control strategies management and market mechanism design for ES are urgent problems to be solved for its large-scale application. Thus, introducing novel techniques and theories related to the coordinated optimization, control strategies and market mechanism design of ES is of great significance in promoting the ES development and accelerating the construction of new power systems.

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Technical Outline of the Session:

This special session focuses on a hot research topic-Coordinated optimization modeling, control strategies management and market mechanism design for energy storage. To cope with the challenges caused by massive consumption and heavy dependence on fossil energy, promoting the active transformation of the energy structure into a low-carbon, clean and sustainable one has become a global consensus. While the large-scale application of ES is one of the effective means to break through bottlenecks of the energy transition. In this sense, appropriate coordinated optimization modeling, control strategies management and market mechanism design for ES have attracted significant attention from both academia and industry. Novel techniques and theories in related areas are encouraged in this special session. Topics of interest include (but are not limited to): multi-objective optimization for ES systems, control strategies management of ES, market mechanism design of ES, uncertainty modeling for ES systems, business model analysis, and economic evaluation for shared ES, etc.

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Special Session Organizers

Dong Han, Assistant Professor, University of Shanghai for Science and Technology

Dong Han received the Ph.D. degree in Electrical Engineering from Shanghai Jiao Tong University, Minhang campus, Shanghai, in 2015. Now, he is an assistant professor at University of Shanghai for Science and Technology, Shanghai. His research interests include evaluation of smart grids and intelligent technology application as well as topics related to market operations in electrical power systems.

Shiwei Xia, Associate Professor, North China Electric Power University

Shiwei Xia received the Ph.D. degree in Power System and its Automation from The Hong Kong Polytechnic University, Hung Hom, Hong Kong, in 2015, then worked as a Postdoctoral Fellow there in 2016 and 2017. He was also a visiting scholar in the Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology, Chicago, USA, in 2019. Now, he is an associate professor at North China Electric Power University, Beijing. His research interests include renewable power system operation and control.