team leader
mei shengwei, professor, ieee fellow, and iet fellow. his research focuses on power system complexity and security, game theory, and renewable power generation
meishengwei@tsinghua.edu.cn
key team members
shen chen, professor, ieee senior member. his research interests include modeling and fast simulation of smart grids, stability analysis of power systems with wind power integration, and planning, operation, control, and simulation of microgrids
shenchen@mail.tsinghua.edu.cn
liu feng, associate professor, recipient of the top-100 excellent doctoral dissertation award. his research encompasses power system operation, control, and stability analysis with renewable energy integration
lfeng@tsinghua.edu.cn
chen ying, associate professor. her research focuses on cyber-physical system modeling and security analysis, as well as distributed/parallel computing-based real-time simulation and optimal control of power systems
chen_ying@mail.tsinghua.edu.cn
zhang xuemin, associate professor. her research interests include power system complexity and security, stability, and control of integrated power systems
zhangxuemin@mail.tsinghua.edu.cn
chen laijun, associate professor. his research areas include power system simulation, microgrids, and large-scale energy storage systems
chenlaijun@tsinghua.edu.cn
huang shaowei, associate professor. his research focuses on power system cascading failure, parallel simulation, and smart energy management systems
huangsw@tsinghua.edu.cn
wei wei, associate professor. his research encompasses applied optimization, game theory, and energy system economics
wei-wei04@mails.tsinghua.edu.cn
xue xiaodai, assistant professor. his research interests include thermal engineering and large-scale energy storage systems
xuexiaodai@tsinghua.edu.cn
team research directions
our research team aims to develop advanced operation and control technologies to enhance the security, economy, and quality of energy supply infrastructures, supporting the widespread deployment of smart grids and energy internet in our country. over the past decades, we have pioneered power system nonlinear optimal and robust control theory, power grid complexity theory, and engineering game theory, providing a solid theoretical foundation for improving the flexibility, efficiency, and cost reduction of power system operation and control. we have developed industrial prototypes of nonlinear robust power system stabilizers, cloud power system simulators, and large-scale compressed-air energy storage systems to meet the industrial demand for advanced technologies.
main directions:
1. power system security analysis and disaster 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 ongoing research programs include, but are not limited to:
1. enhancing engineering game theory to consider more types of games and competitions, enabling the investigation and design of business models for the energy internet.
2. developing cloud power system simulators based on high-performance supercomputers and parallel computing, and incorporating thermal and natural gas modules into the simulation platform; implementing smart design and big-data analytics.
3. establishing several demonstration projects of large-scale compressed-air energy storage systems and micro energy internet.
