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Dr

Ge Zhang

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Overview

Availability

Dr Ge Zhang is:
Available for supervision

Qualifications

  • Bachelor of Electrical Engineering and Automation, Harbin Institute of Technology
  • Masters (Coursework) of Electrical Engineering, The University of Queensland
  • Doctor of Philosophy of Electrical Engineering, The University of Queensland

Works

Search Professor Ge Zhang’s works on UQ eSpace

6 works between 2022 and 2025

1 - 6 of 6 works

2025

Journal Article

Grid impedance adaptive VSG control based on accurate small-signal modelling

Wang, Minyang, Yang, Yuxin, Zhang, Yuchen, Ambia, Mir Nahidual, Ahmed, Al-Durra, Zhang, Daming, Meng, Ke and Zhang, Ge (2025). Grid impedance adaptive VSG control based on accurate small-signal modelling. IEEE Transactions on Industry Applications, 61 (4), 5891-5903. doi: 10.1109/tia.2025.3550106

Grid impedance adaptive VSG control based on accurate small-signal modelling

2024

Journal Article

Condition monitoring of distribution power network assets using PMU measurements

Bai, Feifei, Cui, Yi, Yan, Ruifeng, Saha, Tapan Kumar, Pan, Zicheng, Zhang, Ge, Zillmann, Matthew and Dart, David (2024). Condition monitoring of distribution power network assets using PMU measurements. IEEE Transactions on Industry Applications, 60 (3), 1-12. doi: 10.1109/tia.2024.3360958

Condition monitoring of distribution power network assets using PMU measurements

2023

Conference Publication

Cybersecurity Defence of Synchrophasors in Distribution Systems: A Deep Learning Approach

Zhang, Ge, Cui, Yi, Zhang, Ruiyuan and Bai, Feifei (2023). Cybersecurity Defence of Synchrophasors in Distribution Systems: A Deep Learning Approach. 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG), Wollongong, NSW Australia, 3-6 December 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/etfg55873.2023.10407305

Cybersecurity Defence of Synchrophasors in Distribution Systems: A Deep Learning Approach

2022

Conference Publication

Lonepinella - the devil in the oral cavity (of the koala)

Omaleki, Lida, Blyde, David, McKay, Philippa, Lobo, Edina T., Zhang, Ge, Harris, Louise M., Sinclair, Holly A., Bergh, Haakon, White, Rhys T., Forde, Brian M., Beatson, Scott A., Turni, Conny and Blackall, Patrick J. (2022). Lonepinella - the devil in the oral cavity (of the koala). One Health Downunder Symposium 2022, Brisbane, QLD Australia, 12-13 September 2022.

Lonepinella - the devil in the oral cavity (of the koala)

2022

Conference Publication

Power Quality Disturbance Detection Based on Improved Robust Random Cut Forest

Zhang, Ge, Bai, Feifei, Cui, Yi, Dart, David, Yaghoobi, Jalil and Zillmann, Matthew (2022). Power Quality Disturbance Detection Based on Improved Robust Random Cut Forest. 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Shanghai, China, 8-11 July 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/icpsasia55496.2022.9949860

Power Quality Disturbance Detection Based on Improved Robust Random Cut Forest

2022

Conference Publication

Feasibility Study on Condition Monitoring of Power Network Asset Using PMU Measurements

Bai, Feifei, Cui, Yi, Zhang, Ge, Dart, David, Yaghoobi, Jalil and Zillmann, Matthew (2022). Feasibility Study on Condition Monitoring of Power Network Asset Using PMU Measurements. 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Shanghai, China, 8-11 July 2022. Piscataway, NJ United States: IEEE. doi: 10.1109/icpsasia55496.2022.9949946

Feasibility Study on Condition Monitoring of Power Network Asset Using PMU Measurements

Supervision

Availability

Dr Ge Zhang is:
Available for supervision

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Media

Enquiries

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communications@uq.edu.au