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清华大学电机系

清华大学电机系本科生

清华大学电机系研究生

清华大学电机系校友会

清华大学能源互联网创新研究院

R&D Teams

Current Location: Home > About > R&D Teams > Content
负责人 Mei Shengwei

【Principle Investigator】
Shengwei Mei, Professor,IEEE Fellow and IET Fellow. His research directions include power system complexity and security, game theory and renewable power generation.
Email: meishengwei@tsinghua.edu.cn

【Term Members】
Chen Shen, Professor, IEEE Senior Member. His research directions include modeling and fast simulation of smart grid, stability analysis of power systems with wind power integration, planning, operation, control, and simulation of microgrids.
Email: shenchen@mail.tsinghua.edu.cn

Feng Liu, Associated Professor,Laureate of Top-100 Excellent Doctoral Dissertation Award. His research directions include power system operation, control, and stability analysis with renewable energy integration.
Email: lfeng@tsinghua.edu.cn

Ying Chen,Associate Professor. His research directions include cyber-physical system modeling and security analysis, as well as distributed/parallel computing based real-time simulation and optimal control of power systems
Email: chen_ying@mail.tinghua.edu.cn

Xuemin Zhang,Associate Professor. Her research directions include power system complexity and security, stability and control of integrated power systems
Email: zhangxuemin@mail.tsinghua.edu.cn

Laijun Chen, Associate Professor. His research directions include power system simulation, microgrids, and large-scale energy storage system.
Email: chenlaijun@tsinghua.edu.cn

Shaowei Huang, Associate Professor. His research directions include power system cascading failure, parallel simulation, and smart energy management system,
Email: huangsw@tsinghua.edu.cn

Wei Wei,Associate Professor. His research directions include applied optimization, game theory, and energy system economics
Email:wei-wei04@mails.tsinghua.edu.cn

Xiaodai Xue, Assistant Professor. His research directions include thermal engineering and large-scale energy storage system.
Email: xuexiaodai@tsinghua.edu.cn

【Research Direction of the Team】

Our research term aims to develop advanced operation and control technologies that improve the security, economy, and quality of energy supply infrastructures, to underpin the wide deployment of smart grid and energy internet in our country. In the past decades, we have pioneered the power system nonlinear optimal and robust control theory, the power grid complexity theory, and the engineering game theory, providing a solid theoretical foundation for improving the flexibility, efficiency and reducing the costs of power system operation and control. We have developed industrial prototypes of nonlinear robust power system stabilizer, cloud power system simulator, and large-scale compressed-air energy storage system, catering the industrial needs of advanced technologies.

Main directions:
1)Power system security analysis and catastrophe prevention
2)Operation and control of power and energy systems with high penetration of renewable energy
3)Energy conversion and storage technology in the Energy Internet

Our on-going research programs include but not limited to:
1) Ameliorating the engineering game theory to consider more types of games and competitions, enabling the investigation and design business models for the energy internet;
2) Developing the cloud power system simulator based on high-performance supercomputers and parallel computing, and adding thermal and natural gas modules in the simulation platform; implementing smart design and big-data analytics;
3) Building several demonstration projects of the large-scale compressed-air energy storage system and micro energy internet.

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