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 / DPhil (University of Warwick)
  • PGCert (University of Hull)

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

Semantic segmentation-based intelligent threshold-free feeder detection method for single-phase ground fault in distribution networks

Hong, C., Qiu, H., Gao, J., Lin, S., & Guo, M. (in press). Semantic segmentation-based intelligent threshold-free feeder detection method for single-phase ground fault in distribution networks. IEEE Transactions on Instrumentation and Measurement, https://doi.org/10.1109/TIM.2023.3335520

A novel flexible fault eliminator with active disturbance rejection and soft grid-connection in distribution networks

Zheng, Z., Qiu, H., Zhang, B., Guo, M., Lin, S., & Cai, W. (2023). A novel flexible fault eliminator with active disturbance rejection and soft grid-connection in distribution networks. International Journal of Electrical Power & Energy Systems, 154, Article 109425. https://doi.org/10.1016/j.ijepes.2023.109425

Application of Semantic Segmentation in High-Impedance Fault Diagnosis Combined Signal Envelope and Hilbert Marginal Spectrum for Resonant Distribution Networks

Gao, J., Guo, M., Lin, S., & Chen, D. (2023). Application of Semantic Segmentation in High-Impedance Fault Diagnosis Combined Signal Envelope and Hilbert Marginal Spectrum for Resonant Distribution Networks. Expert Systems with Applications, 231, Article 120631. https://doi.org/10.1016/j.eswa.2023.120631

Multi-agent reinforcement learning control of a hydrostatic wind turbine-based farm

Huang, Y., Lin, S., & Zhao, X. (2023). Multi-agent reinforcement learning control of a hydrostatic wind turbine-based farm. IEEE Transactions on Sustainable Energy, https://doi.org/10.1109/tste.2023.3270761

Flexible neutral point displacement overvoltage suppression method based on backstepping control in unbalanced distribution networks

Zheng, Z., Xu, J., Zhang, B., Wang, H., Guo, M., & Lin, S. (2023). Flexible neutral point displacement overvoltage suppression method based on backstepping control in unbalanced distribution networks. International Journal of Electrical Power & Energy Systems, 148, Article 108950. https://doi.org/10.1016/j.ijepes.2023.108950

Research interests

control systems, renewable energy, power system

Lead investigator

Project

Funder

Grant

Started

Status

Project

Intelligent Fault-Tolerant Control of Offshore Wind Turbine Via Deep Reinforcement Control

Funder

EPSRC Engineering & Physical Sciences Research Council

Grant

£1,634.00

Started

1 December 2021

Status

Complete

Postgraduate supervision

Dr. Lin welcome PhD applications in

control systems

renewable energy

electrical power system.

Committee/Steering group role

Co-opted member of IMechE Yorkshire Automotive Division Centre

2022

Membership/Fellowship of professional body

Fellow of the Higher Education Academy

2023

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