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Special Session

Special Session Introduction

Abstract: Market equilibrium analysis is a quantitative analysis tool to verify the effectiveness of power market mechanism design. However, the power market is currently characterized by diversification of market players, diversification of trading varieties, and complexity of organizational timing, making it difficult to solve and analyze market equilibrium. On the one hand, the market participants involve four categories of generation, grid, load and energy storage, and the game process among them is difficult to be mathematically expressed. On the other hand, the multi-market environment formed by carbon market, green certificate market and other financial derivatives makes the decision-making dimension increase, which makes it difficult to solve the equilibrium. Therefore, it is very meaningful to explore the solution and analysis method of market equilibrium in multi-market environment to help the design of power market mechanism.
Rationale: Under the background of multi-market coupling, the timing frequency of each market organization is different, the risk quantification is complex, and the incomplete information factors need to be considered. These make it difficult for the equilibrium analysis. The traditional equilibrium analysis method can't balance the accuracy and speed of the solution method. Therefore, the equilibrium analysis of complex market environment has attracted the attention of scholars. This special session strongly encouraged the use of optimization acceleration and artificial intelligence technologies to meet the needs of multi-market environment equilibrium analysis. The topics of interest include (but are not limited to): equilibrium analysis of multi-market environment, design of market equilibrium solution algorithm, design of multi-market coordination mechanism, risk management and market power analysis in multi-market environment, application of data-driven method in market equilibrium analysis.

Special Session Organizers

Donghan Feng

Donghan Feng received the B.S. and Ph.D. degrees in electrical engineering from the Department of Electrical Engineering, Zhejiang University, Hangzhou, China, in 2003 and 2008, respectively. He has been with the faculty of Shanghai Jiao Tong University, Shanghai, China, since 2008, where he is currently a full professor and also serves as the Deputy Director of the State Energy Smart Grid Research and Development Center. His research interests include operation and trading strategies in smart energy networks.

Yun Zhou

Yun Zhou received the B.S. and Ph.D. degrees in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2012 and 2017, respectively. He has joined the faculty of Shanghai Jiao Tong University as a lecturer with the Department of Electrical Engineering since 2017. His current research interests include electric vehicles, energy internet, and power system restoration.

Hengjie Li

Hengjie Li received the Ph.D. in Control Theory and Control Engineering, Lanzhou University of Technology, Lanzhou, China, in 2009. Now, he is an associate professor in the School of Electrical and Information Engineering in Lanzhou University of Technology. His research interests include power/integrated energy system emergency and energy efficiency management of electricity consumption.

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Paper Submission Important Dates

Submission Deadline
April 30, 2023
Notification Deadline
May 30, 2023

Please enter IEEE I&CPS Asia 2023 online submission system and choose 'SS001: Multi-Market Equilibrium Analysis: Challenges and Solutions' to submit papers.

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