Dr Shuyue Lin Lecturer in Electrical and Electronic Engineering S.Lin@hull.ac.uk Faculty and Department Faculty of Science and Engineering Department of Engineering Related groups Electrical and Electronic Engineering Biography Teaching Outputs Research/PhD Qualifications BEng (University of Bath) MSc (Imperial College London) PhD (University of Warwick) Summary 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 Recent outputs View more outputs Journal Article 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 Research interests control systems, renewable energy, power system Postgraduate supervision Dr. Lin welcome PhD applications in control systems renewable energy electrical power system. Similar profiles Dr Anthony Bateson Electrical and Electronic Engineering Professor Ron Patton Electrical and Electronic Engineering Professor James Gilbert Electrical and Electronic Engineering