doctorate at University of Tennessee Knoxville
šØāš« Buxin She, an accomplished Electrical Engineer at Pacific Northwest National Laboratory, is a distinguished figure in the field of Power Systems. Her academic journey commenced at the University of Tennessee Knoxville, where she earned her Ph.D. in Power System from the Department of Electrical Engineering and Computer Science between Jan 2020 and Dec 2023. Prior to this, she pursued her Master’s and Bachelor’s degrees in Power System at Tianjin University in China.Ā š
š Professional Profiles:
š Education
Ph.D. Power System – University of Tennessee Knoxville, Tennessee, USA, Jan 2020 – Dec 2023 Master Power System – Tianjin University, Tianjin, China, Sep 2017 – Dec 2019 Bachelor Power System – Tianjin University, Tianjin, China, Sep 2013 – Jun 2017
š” Skills Summary
Power Knowledge: Microgrid control, Inverter-based resources (IBR) modeling and control, Security-constrained economic dispatch, Distribution system plan. Techniques Knowledge: Control theory, Convex optimization, Deep learning, (Deep) Reinforcement learning. Power Simulator: Matlab/Simulink, ATP-EMTP, Andes, Pandapower/Matpower. AI/Control/Optim. Toolbox: Pytorch, Tensorflow, Sympy, Scipy, Gurobipy, CVX.
š¬ Research Summary
Microgrid & IBR Control Developed Inverter PQ Control with Trajectory Tracking Capability using physics-informed reinforcement learning. Proposed Decentralized and Cooperated V-f Control for islanded microgrids. Explored the fusion of Model-free Reinforcement Learning (MFRL) with Microgrid Control. Created a Microgrid Controller Design ensuring Certified Stability and Domain of Attraction. Introduced Time Delay Compensation for HVDC Damping Control. Security-constrained economic dispatch Proposed Virtual Inertia Scheduling (VIS) for IBR-penetrated power systems. Extended the concept of VIS to ensure Microgrid stability under large disturbances. Distribution System Operation and Plan Conducted research on active distribution networks, operational boundaries, and capability curves. Thermal Energy Storage Participated in research for efficient energy management using deep learning techniques for heat flux prediction.
š Review Service and Awards
Journal Editor: Guest Student Editor for IET Renewable Power Generation. Journal Reviewer: Serves as a reviewer for various IEEE and other reputable journals. Conference Reviewer: Contributed as a reviewer for IEEE conferences. Awards: Recognized as an excellent reviewer for Journal of Modern Power Systems and Clean Energy (MPCE) and Open Access Journal of Power and Energy (OAJPE).