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Lecturer in Electrical and Electronic Engineering
Dr Shuyue Lin joined the Department of Engineering at the University of Hull in September, 2021. Before that, she was an Assistant Professor at Fuzhou University, China.
She obtained her PhD in Engineering from the University of Warwick in 2019. Before that, she was an electrical engineer at PowerChina Fujian Electrical Power Engineering Co., Ltd., China. She obtained her MSc (Distinction) in Control Systems from Imperial College London in 2013. In 2012, she obtained her BEng degree (First-Class Honours) in Electrical Power Engineering from the University of Bath (UK) and the BEng degree in Electrical Power Engineering & Automation from North China Electric Power University (China).
661959 Smart grids
700982 Power distribution, energy storage and control
Multi-Frequency bands based Pole-to-Ground fault detection method for MMC-Based radial DC distribution systems
Yang, C., Lin, S., & Guo, M. (2022). Multi-Frequency bands based Pole-to-Ground fault detection method for MMC-Based radial DC distribution systems. International Journal of Electrical Power & Energy Systems, 141, Article 108250. https://doi.org/10.1016/j.ijepes.2022.108250
Gaussian Distribution-Based Inertial Control of Wind Turbine Generators for Fast Frequency Response in Low Inertia Systems
Kheshti, M., Lin, S., Zhao, X., Ding, L., Yin, M., & Terzija, V. (2022). Gaussian Distribution-Based Inertial Control of Wind Turbine Generators for Fast Frequency Response in Low Inertia Systems. IEEE Transactions on Sustainable Energy, https://doi.org/10.1109/tste.2022.3168778
A Decentralized Fault Section Location Method Using Autoencoder and Feature Fusion in Resonant Grounding Distribution Systems
Li, Z. J., Lin, S., Guo, M. F., & Tang, J. (2022). A Decentralized Fault Section Location Method Using Autoencoder and Feature Fusion in Resonant Grounding Distribution Systems. IEEE systems journal, https://doi.org/10.1109/JSYST.2022.3151630
Nonlinear modelling and adaptive control of smart rotor wind turbines
Li, J., Wang, Y., Lin, S., & Zhao, X. (2022). Nonlinear modelling and adaptive control of smart rotor wind turbines. Renewable energy, 186, 677-690. https://doi.org/10.1016/j.renene.2022.01.020
control systems, renewable energy, power system
Dr. Lin welcome PhD applications in
control systems
renewable energy
electrical power system.
Electrical and Electronic Engineering
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