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

• Adaptive cold-load pickup considerations in 2-stage microgrid unit commitment for enhancing microgrid resilience , APPLIED ENERGY (2024)
• A Novel Real-Time Control Approach for Sparse and Safe Frequency Regulation in Inverter Intensive Microgrids , IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2023)
• A Secure and Adaptive Hierarchical Multi-Timescale Framework for Resilient Load Restoration Using a Community Microgrid , IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2023)
• Health-Aware Energy Management Strategy Toward Internet of Storage , IEEE INTERNET OF THINGS JOURNAL (2023)
• Quantum computing for power systems: Tutorial, review, challenges, and prospects , ELECTRIC POWER SYSTEMS RESEARCH (2023)
• Accurate Distributed Secondary Control for DC Microgrids Considering Communication Delays: A Surplus Consensus-Based Approach , IEEE TRANSACTIONS ON SMART GRID (2022)
• Modeling and Analysis of Baseline Manipulation in Demand Response Programs , IEEE TRANSACTIONS ON SMART GRID (2022)
• Ultra-Short-Term Spatiotemporal Forecasting of Renewable Resources: An Attention Temporal Convolutional Network-Based Approach , IEEE TRANSACTIONS ON SMART GRID (2022)
• A Load Switching Group based Feeder-level Microgrid Energy Management Algorithm for Service Restoration in Power Distribution System , 2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM) (2021)
• A Self-Reported Baseline Demand Response Program for Mitigation of Baseline Manipulation , 2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM) (2021)

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