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Dr Feifei Bai
Dr

Feifei Bai

Email: 
Phone: 
+61 7 334 61006

Overview

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 over $4.6 million research projects, patent commercialisation, and research outcome implementation by the industry. She serves as a guest associate editor for the special issue “Flexible and Resilient Urban Energy Systems” of the International Journal of Electrical Power & Energy Systems in 2021. She is 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, and EPEC Group. One ARENA project in which she was a key researcher received an Australian Engineering Excellence Award in 2020.

Availability

Dr Feifei Bai is:
Available for supervision

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.

Works

Search Professor Feifei Bai’s works on UQ eSpace

85 works between 2011 and 2026

21 - 40 of 85 works

2025

Journal Article

A Bayesian approach to modeling fast chargers functionality for grid frequency support

Mousavizade, Mirsaeed, Garmabdari, Rasoul, Bai, Feifei, Taghizadeh, Foad, Sanjari, Mohammad J., Alahyari, Arman, Hossain, Md. Alamgir, Mahmoudian, Ali and Lu, Junwei (2025). A Bayesian approach to modeling fast chargers functionality for grid frequency support. Applied Energy, 384 125452, 1-20. doi: 10.1016/j.apenergy.2025.125452

A Bayesian approach to modeling fast chargers functionality for grid frequency support

2025

Journal Article

Assessing customer-side demand response identification for optimal scheduling considering satisfaction level for microgrids

Zheng, Xidong, Bai, Feifei and Jin, Tao (2025). Assessing customer-side demand response identification for optimal scheduling considering satisfaction level for microgrids. International Journal of Electrical Power and Energy Systems, 164 110368, 110368. doi: 10.1016/j.ijepes.2024.110368

Assessing customer-side demand response identification for optimal scheduling considering satisfaction level for microgrids

2025

Journal Article

Virtual inertia control for damping low-frequency oscillation in IBR-dominated networks

Feng, Jiajie, Bai, Feifei, Nadarajah, Mithulananthan, Ma, Hui and Pradana, Adlan (2025). Virtual inertia control for damping low-frequency oscillation in IBR-dominated networks. IEEE Transactions on Industry Applications, 61 (2), 1907-1916. doi: 10.1109/tia.2025.3532239

Virtual inertia control for damping low-frequency oscillation in IBR-dominated networks

2025

Journal Article

Introduction to V2G

Amani, Ali Moradi, Lu, Junwei, Jalili, Mahdi and Bai, Feifei (2025). Introduction to V2G. Vehicle-to-Grid Technology in Power Distribution Systems, 1-14.

Introduction to V2G

2025

Journal Article

Adaptive Controller Based on Stability Boundaries for Grid-Forming and Grid-Following Inverters under Varying Grid Impedance

Qu, Yue, Bai, Feifei and Yan, Ruifeng (2025). Adaptive Controller Based on Stability Boundaries for Grid-Forming and Grid-Following Inverters under Varying Grid Impedance. IEEE Transactions on Sustainable Energy, PP (99), 1-14. doi: 10.1109/tste.2025.3619525

Adaptive Controller Based on Stability Boundaries for Grid-Forming and Grid-Following Inverters under Varying Grid Impedance

2025

Journal Article

Optimal coordinated scheduling of grid-connected hybrid AC/DC microgrid for minimizing battery degradation costs and interlink converter stress levels

Mahmoudian, Ali, Taghizadeh, Foad, Garmabdari, Rasoul, Bai, Feifei, Mousavizade, Saeed and Lu, Junwei (2025). Optimal coordinated scheduling of grid-connected hybrid AC/DC microgrid for minimizing battery degradation costs and interlink converter stress levels. IEEE Transactions on Power Delivery, 40 (4), 1948-1959. doi: 10.1109/TPWRD.2025.3565362

Optimal coordinated scheduling of grid-connected hybrid AC/DC microgrid for minimizing battery degradation costs and interlink converter stress levels

2025

Book Chapter

Microgrid-based V2G-enabled charging stations

Mousavizade, Mirsaeed, Taghizadeh, Foad, Bai, Feifei, Sanjari, Mohammad J. and Lu, Junwei (2025). Microgrid-based V2G-enabled charging stations. Vehicle-to-Grid Technology in Power Distribution Systems. (pp. 173-212) Institution of Engineering and Technology.

Microgrid-based V2G-enabled charging stations

2025

Journal Article

Coordinated Frequency Control Based on Hierarchical MPC Considering Tie-line Power Flow

Ma, Ning, Bai, Feifei and Saha, Tapan K. (2025). Coordinated Frequency Control Based on Hierarchical MPC Considering Tie-line Power Flow. IEEE Transactions on Power Systems, PP (99), 1-14. doi: 10.1109/TPWRS.2025.3612368

Coordinated Frequency Control Based on Hierarchical MPC Considering Tie-line Power Flow

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

Conference Publication

MPC-based Control Interface Development for Frequency Control Design with PSCAD/MATLAB

Ma, Ning, Bai, Feifei, Saha, Tapan K. and Zhou, Aobo (2024). MPC-based Control Interface Development for Frequency Control Design with PSCAD/MATLAB. 2024 IEEE Power and Energy Society General Meeting (PESGM), Seattle, WA, United States, 21-25 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/pesgm51994.2024.10688687

MPC-based Control Interface Development for Frequency Control Design with PSCAD/MATLAB

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

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

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: IEEE. 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

Funding

Current funding

  • 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

Supervision

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

    Adaptive inverter control system development for power grids with high renewable energy penetration

    Principal Advisor

    Other advisors: Associate Professor Richard Yan

  • 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

  • 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

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

    Associate Advisor

    Other advisors: Associate Professor Richard Yan

  • Doctor Philosophy

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

    Associate Advisor

    Other advisors: Professor Tapan Saha

  • Doctor Philosophy

    Assessment of Oscillations in Inverter-Dominated Grids and Their Mitigation with Wide-Area GFM Control

    Associate Advisor

    Other advisors: Dr Hui Ma, Professor Mithulan Nadarajah

  • 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

  • Doctor Philosophy

    Coordinated Frequency Control for Power Networks with High Inverter-interfaced Energy 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

  • Master Philosophy

    Frequency Stability Control for Power Grids with Inverter-based Resources

    Associate Advisor

    Other advisors: Professor Tapan Saha

Completed supervision

Media

Enquiries

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