Dr Shuyue Lin

Dr Shuyue Lin

Lecturer in Electrical and Electronic Engineering

Faculty and Department

  • Faculty of Science and Engineering
  • School of Engineering

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.