Overview
During last decades, the integration of large-scale renewable energy resources like wind and solar into the existing power girds has been growing at a rapid pace. Different from synchronous generators, the renewable sources that interfaced by power electronic converters cannot inherently provide inertial response and other grid supporting functions. Consequently, their increasing penetration would jeopardize the reliability and resilience of power systems operation. This inspires me to focus on research about new theoretical insights, innovative modeling, control, and optimization methods of future converter dominated power systems.
Research
The efficiency of synchronous generators’ controls is heavily influenced with the increasing amount of converter interfaced renewable sources. To help modern power system that has a continually increasing penetration of converter-based renewable power sources operate reliable and stable, one of my current research topics is to control renewable sources (e.g., wind turbines and solar photovoltaics) to provide grid ancillary services (e.g., inertial response, primary frequency control, secondary frequency control, fault ride through etc.).
Currently, most commercial wind/solar converters adopt the grid following control strategy. Consequently, the knowledge of phase angel of point of common coupling voltage should be known by the converter in real-time to inject current at the correct phase angle and frequency. To address this problem and ensure that power converters interfaced renewable sources can operate normally without relying on other sources, power converters with grid-forming control is also one of my current research topics.
Projects
Advanced grid-forming (GFM) inverter controls, modeling and system impact study for inverter dominated grids.
- Funded by the U.S. Department of Energy.
- Develop new grid-forming control techniques and investigate their application to renewable sources (e.g., wind turbines, solar photovoltaics).
Publications
For an up to date and complete list of publications please visit my google scholar profile.
Selected publications
X. Lyu, T. Liu, “Intelligent learning based active power regulation of wind turbines considering fatigue reduction”, IEEE Transactions on Industrial Informatics, vol. 18, no. 1, pp. 405-414, 2022.
X. Lyu, Y. Jia, T. Liu, and S. Chai, “System-oriented power regulation scheme for wind farms: the quest for uncertainty management”, IEEE Transactions on Power Systems, vol. 36, no. 5., pp. 4259-4269, 2021.
X. Lyu, D. Grosß, Z. Xu, Z. Dong, and Y. Jia, “Optimal power regulation for wind integration in the balancing market environment”, IET Renewable Power Generation,vol. 15, no. 15, pp. 3601-3611, 2021.
X. Lyu, Y. Jia, T. Liu, and Y. He, “Concurrent re/active optimal control for wind farm under low-voltage-ride-through operation”, IEEE Transactions on Power Systems, vol. 35, no. 6, pp. 4956-4959. 2020.
X. Lyu, Y. Jia, Z. Xu, and J. Østergaard, “Mileage-responsive wind power smoothing”, IEEE Transactions on Industrial Electronics, vol. 67, no. 6, pp. 5209-5212, 2019.
X. Lyu, J. Zhao, Y. Jia, Z. Xu, and K. P. Wong, “Coordinated control strategies of PMSG-based wind turbine for smoothing power fluctuations”, IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 391-401, 2018.

Dr. Xue Lyu
Xue Lyu is a postdoctoral research associate working with professor Dominic Gross in the Department of Electrical and Computer Engineering at University of Wisconsin-Madison. She received her PhD (2019), M.Sc.(2016), and B.Eng.(2013) degrees in Electrical Engineering from The Hong Kong Polytechnic University, Shanghai University of Electric Power, and Qingdao University of Technology respectively.
Her research interests focus on modeling, control and optimization of power systems with high renewable integration.