Personal profile

Born in March 1983, he majored in Electrical Engineering and Automation from the Department of Electrical Machinery, Tsinghua University. From 2001 to 2010, he studied in the Department of Electrical Engineering of Tsinghua University and obtained bachelor's and doctor's degrees. After graduation, he worked as a postdoctoral fellow in the Department of Automation. In 2012, he left the station and stayed in the department of Electrical Engineering.

Doctor, Associate Researcher of Tsinghua University, Expert of System Analysis and Hybrid Simulation Institute of Qinghua-Sichuan Energy Internet Research Institute, Secretary General and Executive Director of Large Grid Operation Technical Sub-Committee of IEEE PES(China) Power System Operation Planning and Economic and Technical Committee, Associate Editor of the international journal Frontiers in Energy Research (SCI). His research interests include multi-physical and multi-scale modeling and simulation of power systems, transient stability analysis and control of large power grids, and stability analysis of high-proportion new energy power systems.

For the first time, the common mathematical characteristics of multi-physics and multi-scale simulation are quantified and systematized, and a simulation framework is proposed without numerical problems such as stability and convergence in nature. The prediction correction, mapping network division, interface shift and other mechanisms are proposed to achieve the accuracy of multi-physical and multi-scale transient hybrid simulation approaching the electromagnetic simulation. Aiming at the local power grid dominated by multi-power electronics and converters, a simulation method of multi-converter network based on equivalent mapping and micro-element switching circuit is proposed to overcome the contradiction between the accuracy and efficiency of conventional electromagnetic simulation. Transient voltage stability of large power grids is a major operational risk, and its key factors are layered load and DC commutation failure. A data-driven predictive control based on DC operating margin is proposed, which can block commutation failure caused by more than 90% faults in the main network. A hierarchical load discrimination-aggregation modeling method and application framework are proposed to effectively improve the accuracy of online transient stability assessment. In recent years, the research work has focused on the stability analysis and simulation technology of high-proportion new energy power system, taking the actual power grid as a case study to study the evolution law of system stability form in the alternative development of new energy, and expanding the cognition of dynamic behavior and stability of power system. The interaction between new energy converters and the system is studied and summarized. A modeling method is proposed to accurately and efficiently describe the interaction between a large number of heterogeneous converters and large power grids. An autonomous real-time simulator for large-scale new energy grid-connected systems is developed.

Led or participated in more than 30 scientific research projects, including the Natural Science Foundation, national key research and development Plan, major science and technology projects funded by the National Development and Reform Commission, and key science and technology projects of the Power grid company, and won many science and technology awards, including 4 provincial and ministerial science and technology Progress awards and science and technology innovation awards. More than 30 technical invention patents have been authorized, and more than 70 papers have been published, of which more than 60 are included in SCI and EI.