Dr Feifei Bai
Dr

Feifei Bai

Email: 
Phone: 
+61 7 334 61006

Background

Feifei Bai is a Senior Lecturer with the School of Electrical Engineering and Computer Science at the University of Queensland, Australia. She is also an adjunct Senior Research Fellow at Griffith University. She was awarded the Advance Queensland Fellow in 2018. Her research contributions can be recognised by a strong publication record, secured multiple Australian goverment and QLD state goverment research projects, patent commercialisation, and research outcome implementation by the industry. She serves as a guest editor for two special issues of the International Journal of Electrical Power & Energy Systems in 2021 and Applied Energy in 2026. She was an associate editor for the journal of IET Generation, Transmission & Distribution and an assistant editor for the International Journal of Green Energy. She also actively collaborates with Australian industries including Energy Queensland, NOJA Power, Powerlink, AEMO, EPEC Group, and Iberdrola Australia.

Availability

Dr Feifei Bai is:
Available for supervision

Fields of research

Electrical energy generation (incl. renewables, excl. photovoltaics) Engineering

Qualifications

  • Doctor of Philosophy, Southwest Jiaotong University

Research interests

  • Renewable energy integration

  • PMU applications in power grid

  • Power system oscillation detection and damping control

Research impacts

Y. Cui, F. Bai, W. Yao, Y. Liu, L. Wu and Y. Liu, “Power Disturbance Localization Using Recurrence Quantification Analysis and Minimum-Volume-Enclosing Ellipsoid”, US Patent No: US10371740B2, 2019.

Search Professor Feifei Bai’s works on UQ eSpace

99 works between 2011 and 2027
All (99) Book (1) Journal Article (60) Other Outputs (2) Conference Publication (35) Book Chapter (1)

41 - 60 of 99 works

2024

Journal Article

Enhancing interpretability in power management: a time-encoded household energy forecasting using hybrid deep learning model

Mubarak, Hamza, Stegen, Sascha, Bai, Feifei, Abdellatif, Abdallah and Sanjari, Mohammad J. (2024). Enhancing interpretability in power management: a time-encoded household energy forecasting using hybrid deep learning model. Energy Conversion and Management, 315 118795. doi: 10.1016/j.enconman.2024.118795

Enhancing interpretability in power management: a time-encoded household energy forecasting using hybrid deep learning model

2024

Journal Article

Adaptive power-sharing strategy in hybrid AC/DC microgrid for enhancing voltage and frequency regulation

Mahmoudian, Ali, Garmabdari, Rasoul, Bai, Feifei, Guerrero, Josep M., Mousavizade, Mirsaeed and Lu, Junwei (2024). Adaptive power-sharing strategy in hybrid AC/DC microgrid for enhancing voltage and frequency regulation. International Journal of Electrical Power & Energy Systems, 156 109696, 1-15. doi: 10.1016/j.ijepes.2023.109696

Adaptive power-sharing strategy in hybrid AC/DC microgrid for enhancing voltage and frequency regulation

2024

Conference Publication

Enhanced online impedance estimation of grid-connected inverter using hybrid pseudorandom binary sequence

Khan, Muhammad Ajmal, Taghizadeh, Foad, Lu, Junwei and Bai, Feifei (2024). Enhanced online impedance estimation of grid-connected inverter using hybrid pseudorandom binary sequence. 2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), Miri Sarawak, Malaysia, 17-19 January 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/gecost60902.2024.10475079

Enhanced online impedance estimation of grid-connected inverter using hybrid pseudorandom binary sequence

2024

Journal Article

A new methodology to improve wind power prediction accuracy considering power quality disturbance dimension reduction and elimination

Zheng, Xidong, Bai, Feifei, Zeng, Ziyang and Jin, Tao (2024). A new methodology to improve wind power prediction accuracy considering power quality disturbance dimension reduction and elimination. Energy, 287 129638, 129638. doi: 10.1016/j.energy.2023.129638

A new methodology to improve wind power prediction accuracy considering power quality disturbance dimension reduction and elimination

2024

Conference Publication

Robust decoupling control based on linear extended state observers for grid-forming inverter

Qu, Yue, Li, Hui, Bai, Feifei, Lu, Junwei and Yang, Fuwen (2024). Robust decoupling control based on linear extended state observers for grid-forming inverter. 34th Australasian Universities Power Engineering Conference, Sydney, Australia, 20-22 November 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers.. doi: 10.1109/AUPEC62273.2024.10807610

Robust decoupling control based on linear extended state observers for grid-forming inverter

2024

Conference Publication

Wide-area virtual power system stabilizer design for mitigating inter-area oscillations

Feng, Jiajie, Bai, Feifei, Mardira, Levin, Nadarajah, Mithulananthan and An, Feng (2024). Wide-area virtual power system stabilizer design for mitigating inter-area oscillations. 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference (APPEEC), Nanjing, China, 25-27 October 2024. Piscataway, NJ, United States: IEEE Computer Society. doi: 10.1109/APPEEC61255.2024.10922629

Wide-area virtual power system stabilizer design for mitigating inter-area oscillations

2023

Conference Publication

Enhanced Short-term Reactive Energy Demand Forecasting by Employing Seasonal Decomposition and Multi-Model Approach

Mubarak, Hamza, Sanjari, Mohammad J., Bai, Feifei, Stegen, Sascha and Abdellatif, Abdallah (2023). Enhanced Short-term Reactive Energy Demand Forecasting by Employing Seasonal Decomposition and Multi-Model 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/etfg55873.2023.10407864

Enhanced Short-term Reactive Energy Demand Forecasting by Employing Seasonal Decomposition and Multi-Model Approach

2023

Conference Publication

Transition towards inverter-based generation with VSG control: low frequency instability prospective

Feng, Jiajie, Bai, Feifei, Nadarajah, Mithulananthan and Ma, Hui (2023). Transition towards inverter-based generation with VSG control: low frequency instability prospective. 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG), Wollongong, NSW, Australia, 3-6 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/etfg55873.2023.10407495

Transition towards inverter-based generation with VSG control: low frequency instability prospective

2023

Conference Publication

An island threshold setting technique using branch current from PMU of a hybrid distribution system

Arefin, Ahmed Amirul, Bai, Feifei, Lu, Junwei and Cui, Yi (2023). An island threshold setting technique using branch current from PMU of a hybrid distribution system. 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/etfg55873.2023.10407875

An island threshold setting technique using branch current from PMU of a hybrid distribution system

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

2023

Conference Publication

Energy Management of AC Residential Microgrids Using Advanced Fuzzy Inference Method

Chowdhury, Nafis Ahmed, Yang, Fuwen and Bai, Feifei (2023). Energy Management of AC Residential Microgrids Using Advanced Fuzzy Inference Method. 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG), Wollongong, NSW Australia, 3-6 December 2023. Piscataway, NJ United States: IEEE. doi: 10.1109/etfg55873.2023.10408298

Energy Management of AC Residential Microgrids Using Advanced Fuzzy Inference Method

2023

Journal Article

Guest editorial: special issue on flexible and resilient urban energy systems

Jiang, Tao, Parisio, Alessandra, Liu, Guodong, Xu, Qianwen, Guo, Qinglai, Bai, Feifei, Rather, Zakir, Li, Gengfeng and Terzija, Vladimir (2023). Guest editorial: special issue on flexible and resilient urban energy systems. International Journal of Electrical Power and Energy Systems, 154 109439, 1-5. doi: 10.1016/j.ijepes.2023.109439

Guest editorial: special issue on flexible and resilient urban energy systems

2023

Journal Article

A novel hierarchical power allocation strategy considering severe wind power fluctuations for wind-storage integrated systems

Zheng, Xidong, Bai, Feifei, Zhuang, Zhiyuan and Jin, Tao (2023). A novel hierarchical power allocation strategy considering severe wind power fluctuations for wind-storage integrated systems. International Journal of Electrical Power and Energy Systems, 153 109363, 109363. doi: 10.1016/j.ijepes.2023.109363

A novel hierarchical power allocation strategy considering severe wind power fluctuations for wind-storage integrated systems

2023

Conference Publication

Impact of system strength and control parameters on the small-signal stability of grid following and grid forming inverters

Cui, Hankun, Bai, Feifei and Cui, Yi (2023). Impact of system strength and control parameters on the small-signal stability of grid following and grid forming inverters. 2023 33rd Australasian Universities Power Engineering Conference (AUPEC), Ballarat, VIC Australia, 25-27 September 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/aupec59354.2023.10503240

Impact of system strength and control parameters on the small-signal stability of grid following and grid forming inverters

2023

Journal Article

Guest editorial: RES hosting capacity in distribution networks

Astero, Poria, Bai, Feifei, Disfani, Vahid and Vergara, Pedro P (2023). Guest editorial: RES hosting capacity in distribution networks. IET Generation, Transmission and Distribution, 17 (17), 3763-3764. doi: 10.1049/gtd2.12945

Guest editorial: RES hosting capacity in distribution networks

2023

Journal Article

Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations

Mousavizade, Mirsaeed, Bai, Feifei, Garmabdari, Rasoul, Sanjari, Mohammad, Taghizadeh, Foad, Mahmoudian, Ali and Lu, Junwei (2023). Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations. Applied Energy, 341 121118, 1-17. doi: 10.1016/j.apenergy.2023.121118

Adaptive control of V2Gs in islanded microgrids incorporating EV owner expectations

2023

Journal Article

A new demand response management strategy considering renewable energy prediction and filtering technology

Zheng, Xidong, Bai, Feifei, Zhuang, Zhiyuan, Chen, Zixing and Jin, Tao (2023). A new demand response management strategy considering renewable energy prediction and filtering technology. Renewable Energy, 211, 656-668. doi: 10.1016/j.renene.2023.04.106

A new demand response management strategy considering renewable energy prediction and filtering technology

2023

Journal Article

Contingency reserve evaluation for fast frequency response of multiple battery energy storage systems in a large-scale power grid

Alcaide-Godinez, Indira, Bai, Feifei, Saha, Tapan Kumar and Memisevic, Rizah (2023). Contingency reserve evaluation for fast frequency response of multiple battery energy storage systems in a large-scale power grid. CSEE Journal of Power and Energy Systems, 9 (3), 873-883. doi: 10.17775/CSEEJPES.2022.01050

Contingency reserve evaluation for fast frequency response of multiple battery energy storage systems in a large-scale power grid

2023

Journal Article

Integration of SiC devices and high-frequency transformer for high-power renewable energy applications

Yao, Weichong, Lu, Junwei, Taghizadeh, Foad, Bai, Feifei and Seagar, Andrew (2023). Integration of SiC devices and high-frequency transformer for high-power renewable energy applications. Energies, 16 (3) 1538, 1-27. doi: 10.3390/en16031538

Integration of SiC devices and high-frequency transformer for high-power renewable energy applications

2023

Journal Article

Cost-effective synchrophasor data source authentication based on multiscale adaptive coupling correlation detrended analysis

Bai, Feifei, Cui, Yi, Yan, Ruifeng, Yin, Hongzhi, Chen, Tong, Dart, David and Yaghoobi, Jalil (2023). Cost-effective synchrophasor data source authentication based on multiscale adaptive coupling correlation detrended analysis. International Journal of Electrical Power and Energy Systems, 144 108606, 108606. doi: 10.1016/j.ijepes.2022.108606

Cost-effective synchrophasor data source authentication based on multiscale adaptive coupling correlation detrended analysis

Current funding

  • 2026 - 2027
    A New Generation of Power Grid Monitoring Device : Integration of AI-Enabled Edge Computing Technologies
    Australia's Economic Accelerator Ignite Grants
    Open grant
  • 2025 - 2027
    Control Design for Stable Hybrid Renewable Generators with Grid-forming and Grid-following Technologies
    Australian Renewable Energy Agency Advancing Renewables Program
    Open grant
  • 2023 - 2027
    International Collaboration Network on Renewable and EV Grid Integration (ICIRN Grant administered by RMIT University)
    Royal Melbourne Institute of Technology University
    Open grant
  • 2023 - 2027
    Accelerating Australia's Power System Transformation (administered by CSIRO)
    CSIRO
    Open grant

Past funding

  • 2021 - 2022
    UQ AWARE - Dr Feifei Bai
    UQ Amplify Women's Academic Research Equity
    Open grant
  • 2019 - 2022
    High-precision condition monitoring of critical equipment in modern distribution networks
    Advance Queensland Industry Research Fellowships
    Open grant

Availability

Dr Feifei Bai is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Development of synchrophasor application technologies in power systems with high renewable energy penetration

    Principal Advisor

    Other advisors: Professor Tapan Saha

  • Doctor Philosophy

    Grid-edge technology development for renewable energy transition

    Principal Advisor

    Other advisors: Professor Tapan Saha, Associate Professor Richard Yan

  • Doctor Philosophy

    Phasor Measurement Unit (PMU) Applications in Distribution Power Networks

    Principal Advisor

    Other advisors: Associate Professor Richard Yan, Dr Yi Cui

  • Doctor Philosophy

    Multi-Port Super-Fast EV Charger Controller Development and its Impact on Power Networks

    Principal Advisor

    Other advisors: Professor Tapan Saha

  • Doctor Philosophy

    Ensuring renewable energy zone stability for Australian net-zero transition

    Associate Advisor

    Other advisors: Associate Professor Richard Yan

  • Master Philosophy

    Frequency Stability Control for Power Grids with Inverter-based Resources

    Associate Advisor

    Other advisors: Professor Tapan Saha

  • Doctor Philosophy

    Identification of power oscillations from variable renewable energy-based generators

    Associate Advisor

    Other advisors: Professor Tapan Saha, Associate Professor Richard Yan

  • Doctor Philosophy

    Advanced Frequency Scanning and Blackbox Control Strategies for Large-Scale Renewable Energy Integration in Power Networks

    Associate Advisor

    Other advisors: Associate Professor Richard Yan

  • Master Philosophy

    Study of Sub Synchronous Oscillation (SSO) in IBRdominated network to identify causes, impacts to SSS , early detection and mitigation strategy.

    Associate Advisor

    Other advisors: Professor Tapan Saha

  • Doctor Philosophy

    Data-driven adaptive control of converter-driven oscillations with multiple converter-interfaced generators

    Associate Advisor

    Other advisors: Professor Tapan Saha

  • Doctor Philosophy

    Model and Data Driven Methodology for Stability Assessment of Power Systems with High Penetration of Power Electronic Devices

    Associate Advisor

    Other advisors: Professor Mithulan Nadarajah

Completed supervision

Enquiries

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