Wenyuan Tang

Bio

Wenyuan Tang is an Assistant Professor in the Department of Electrical and Computer Engineering at North Carolina State University. He received the B.Eng. degree in Electrical Engineering from Tsinghua University in 2008, the M.S. degree in Electrical Engineering, the M.A. degree in Applied Mathematics, and the Ph.D. degree in Electrical Engineering from the University of Southern California, in 2010, 2014, and 2015, respectively. He was a Postdoctoral Scholar at the University of California, Berkeley and Stanford University from 2015 to 2017. His research interests include electricity markets, data analytics and machine learning, and optimization for power systems. He is an Associate Editor of the IEEE Transactions on Sustainable Energy, an Associate Editor of the IEEE Power Engineering Letters, and an Associate Editor of the IEEE Control Systems Society Conference Editorial Board. He is a recipient of the R. Ray Bennett Faculty Fellow Award in 2021, a recipient of the NSF CAREER Award in 2022, a winner of the American-Made Solar Forecasting Prize in 2022, and a winner of the Hydropower Operations Optimization Prize (Phase One and Phase Two) in 2022.

Area(s) of Expertise

Power Electronics and Power Systems

Publications

• Active Distribution Network Reconfiguration with High Renewable Penetration Considering Uncertainty and Demand Response , (2025)
• An MILP Approach for Modeling and Analyzing the BESS for Smoothing Renewable Fluctuations Considering BESS Capacity Attenuation in the Bulk Power System With High Inverter-Based Resource Penetration , 2025 IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, APEC (2025)
• Consistency Model-Assisted Optimal Configuration of Integrated Energy Systems , (2025)
• Data-Driven Modeling of Temporal Dynamics Using Machine Learning: Application to Gas Turbine Generators , (2025)
• Multi-Time-Scale Scheduling for Integrated Energy Systems with Hydrogen Energy , (2025)
• Operation of an Integrated Energy System With Shared Energy Storage Considering Uncertainty: A Stackelberg Game Approach , (2025)
• Optimal Shared Energy Storage Capacity Configuration in Multi-energy Microgrids Considering Battery Lifetime Loss Based on Relaxation Techniques , 2025 IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION, APEC (2025)
• Soft Actor-Critic for Optimal Integrated Energy System Operation , (2025)
• Two-Stage Distributionally Robust Optimization for the Integrated Energy System Considering the Correlations of Renewables and Loads , 2025 IEEE TEXAS POWER AND ENERGY CONFERENCE, TPEC (2025)
• A Multi-objective Approach for Optimal Microgrid Planning Based on Info-Gap Decision Theory , 2024 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM 2024 (2024)

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