Xiupeng Chen
Phd student, University of Groningen
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Xiupeng Chen
Phd student, University of Groningen
Short Bio
I am a Phd candidate within the Discrete Technology & Production Automation group and Smart Manufacturing Systems group at the University of Groningen, the Netherlands, since November 2020. I am working with Prof. Jacquelien Scherpen and Prof. Nima Monshizadeh in the project game theoretic framework for decentralized power systems and energy markets. The research project concerns innovative market mechanisms and control algorithms to promote renewable energy consumption and improve energy efficiency. I received the bachelor’s degree in Electrical Engineering and its Automation in June 2017 and the master’s degree in Electrical Engineering in April 2020, both at the North China Electric Power University, Beijing, China.
I am a Phd candidate within the Discrete Technology & Production Automation group and Smart Manufacturing Systems group at the University of Groningen, the Netherlands, since November 2020. I am working with Prof. Jacquelien Scherpen and Prof. Nima Monshizadeh in the project game theoretic framework for decentralized power systems and energy markets. The research project concerns innovative market mechanisms and control algorithms to promote renewable energy consumption and improve energy efficiency. I received the bachelor’s degree in Electrical Engineering and its Automation in June 2017 and the master’s degree in Electrical Engineering in April 2020, both at the North China Electric Power University, Beijing, China.
Research Interests
Power systems are undergoing a significant transition from the traditional model, where large, centralized power plants generate electricity and distribute it across vast regions, to a more decentralized system, where smaller, localized energy sources are increasingly integrated into the grid. While this decentralized structure creates new opportunities for power systems, it also complicates grid management and necessitates the development of new regulatory frameworks and technologies.
My research primarily focuses on the coordination and control problems in decentralized power systems and energy markets, leveraging game theory, operator theory, and data-driven control. Specifically, I am interested in designing game-theoretic market mechanisms to coordinate the competitive interactions of emerging energy agents. I also work on developing distributed Nash equilibrium-seeking algorithms, using operator theory for convergence analysis. Lastly, I am keen on designing data-driven interventions to enhance market efficiency.
The detailed research projects are provided here.
For future research, I am interested in developing theoretical results and data-driven methods related to game theory, such as distributionally robust games, Stackelberg games, data-driven equilibrium seeking, data-driven intervention and so on. My goal is to integrate these advancements into solving decision-making problems in power systems.
Power systems are undergoing a significant transition from the traditional model, where large, centralized power plants generate electricity and distribute it across vast regions, to a more decentralized system, where smaller, localized energy sources are increasingly integrated into the grid. While this decentralized structure creates new opportunities for power systems, it also complicates grid management and necessitates the development of new regulatory frameworks and technologies.
My research primarily focuses on the coordination and control problems in decentralized power systems and energy markets, leveraging game theory, operator theory, and data-driven control. Specifically, I am interested in designing game-theoretic market mechanisms to coordinate the competitive interactions of emerging energy agents. I also work on developing distributed Nash equilibrium-seeking algorithms, using operator theory for convergence analysis. Lastly, I am keen on designing data-driven interventions to enhance market efficiency.
The detailed research projects are provided here.
For future research, I am interested in developing theoretical results and data-driven methods related to game theory, such as distributionally robust games, Stackelberg games, data-driven equilibrium seeking, data-driven intervention and so on. My goal is to integrate these advancements into solving decision-making problems in power systems.
