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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 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

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

93 works between 2011 and 2027

61 - 80 of 93 works

2022

Conference Publication

Comparative study of inertia support for networks with high renewable energy penetration

Ma, Ning and Bai, Feifei (2022). Comparative study of inertia support for networks with high renewable energy penetration. 14th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Melbourne, Australia, 20-23 November 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/appeec53445.2022.10072216

Comparative study of inertia support for networks with high renewable energy penetration

2022

Journal Article

Multiscale adaptive multifractal detrended fluctuation analysis-based source identification of synchrophasor data

Cui, Yi, Bai, Feifei, Yin, Hongzhi, Chen, Tong, Dart, David, Zillmann, Matthew and Ko, Ryan K. L. (2022). Multiscale adaptive multifractal detrended fluctuation analysis-based source identification of synchrophasor data. IEEE Transactions on Smart Grid, 13 (6), 1-4. doi: 10.1109/tsg.2022.3207066

Multiscale adaptive multifractal detrended fluctuation analysis-based source identification of synchrophasor data

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

2022

Conference Publication

Machine Learning-based Cybersecurity Defence of Wide-area Monitoring Systems

He, Qian, Bai, Feifei, Cui, Yi and Zillmann, Matthew (2022). Machine Learning-based Cybersecurity Defence of Wide-area Monitoring Systems. 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/icpsasia55496.2022.9949686

Machine Learning-based Cybersecurity Defence of Wide-area Monitoring Systems

2022

Conference Publication

Frequency support from multiple utility-scale grid-forming battery energy storage systems

Alcaide-Godinez, Indira and Bai, Feifei (2022). Frequency support from multiple utility-scale grid-forming battery energy storage systems. 58th IEEE/IAS Industrial and Commercial Power Systems Technical Conference Asia (IEEE I and CPS Asia), Shanghai, China, 8-11 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icpsasia55496.2022.9949672

Frequency support from multiple utility-scale grid-forming battery energy storage systems

2022

Journal Article

Authenticating source information of distribution synchrophasors at intra-state locations for cyber-physical resilient power networks

Cui, Yi, Bai, Feifei, Saha, Tapan and Yaghoobi, Jalil (2022). Authenticating source information of distribution synchrophasors at intra-state locations for cyber-physical resilient power networks. International Journal of Electrical Power and Energy Systems, 139 108009, 108009. doi: 10.1016/j.ijepes.2022.108009

Authenticating source information of distribution synchrophasors at intra-state locations for cyber-physical resilient power networks

2022

Journal Article

Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model

Liu, Luyao, Bai, Feifei, Su, Chenyu, Ma, Cuiping, Yan, Ruifeng, Li, Hailong, Sun, Qie and Wennersten, Ronald (2022). Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model. Energy, 247 123417, 123417. doi: 10.1016/j.energy.2022.123417

Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model

2022

Journal Article

Frequency response of PV inverters towards high renewable penetrated distribution networks

Bai, Feifei, Cui, Yi, Yan, Ruifeng, Saha, Tapan Kumar, Gu, Huajie and Eghbal, Daniel (2022). Frequency response of PV inverters towards high renewable penetrated distribution networks. CSEE Journal of Power and Energy Systems, 8 (2), 1-10. doi: 10.17775/CSEEJPES.2021.08470

Frequency response of PV inverters towards high renewable penetrated distribution networks

2022

Journal Article

Integration of novel high-frequency transformer with silicon-carbide Schottky diodes

Yao, Weichong, Lu, Junwei, Seagar, Andrew, Bai, Feifei and Taghizadeh, Foad (2022). Integration of novel high-frequency transformer with silicon-carbide Schottky diodes. IEEE Magnetics Letters, 13 2106105, 1-5. doi: 10.1109/lmag.2022.3229230

Integration of novel high-frequency transformer with silicon-carbide Schottky diodes

2021

Journal Article

Evaluating the feasibility of transactive approach for voltage management using inverters of a PV plant

Alam, Mollah Rezaul, Alam, M.J.E., Somani, Abhishek, Melton, Ronald B., Tushar, Wayes, Bai, Feifei, Yan, Ruifeng and Saha, Tapan K. (2021). Evaluating the feasibility of transactive approach for voltage management using inverters of a PV plant. Applied Energy, 291 116844, 1-14. doi: 10.1016/j.apenergy.2021.116844

Evaluating the feasibility of transactive approach for voltage management using inverters of a PV plant

2021

Journal Article

A feasibility study of the 1.5-axis tracking model in utility-scale solar PV plants

Wong, Junying, Bai, Feifei, Saha, Tapan Kumar and Tan, Rodney H.G. (2021). A feasibility study of the 1.5-axis tracking model in utility-scale solar PV plants. Solar Energy, 216, 171-179. doi: 10.1016/j.solener.2020.12.035

A feasibility study of the 1.5-axis tracking model in utility-scale solar PV plants

2019

Other Outputs

Power system disturbance localization using recurrence quantification analysis and minimum-volume-enclosing ellipsoid

Cui, Yi, Bai, Feifei, Yao, Wenxuan, Liu, Yong, Wu, Ling and Liu, Yilu (2019). Power system disturbance localization using recurrence quantification analysis and minimum-volume-enclosing ellipsoid. US 10,371,740.

Power system disturbance localization using recurrence quantification analysis and minimum-volume-enclosing ellipsoid

2019

Journal Article

Spatio-temporal characterization of synchrophasor data against spoofing attacks in smart grids

Cui, Yi, Bai, Feifei, Liu, Yilu, Fuhr, Peter and Morales-Rodriguez, Marissa (2019). Spatio-temporal characterization of synchrophasor data against spoofing attacks in smart grids. IEEE Transactions on Smart Grid, 10 (5), 5807-5818. doi: 10.1109/tsg.2019.2891852

Spatio-temporal characterization of synchrophasor data against spoofing attacks in smart grids

2019

Conference Publication

Statistical characterization of solar irradiance variability and its effect on step voltage regulators

Cui, Yi, Bai, Feifei, Liu, Yilu and Smith, David (2019). Statistical characterization of solar irradiance variability and its effect on step voltage regulators. 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Chengdu, China, 21-24 May 2019. Piscataway, NJ, United States: IEEE. doi: 10.1109/isgt-asia.2019.8881275

Statistical characterization of solar irradiance variability and its effect on step voltage regulators

2019

Conference Publication

Investigation on power generation valley of single-axis tracking arrays at a solar PV plant in Australia

Wong, Junying, Bai, Feifei, Saha, Tapan Kumar and Tan, Rodney H.G. (2019). Investigation on power generation valley of single-axis tracking arrays at a solar PV plant in Australia. IEEE PES General Meeting, Atlanta, Georgia, USA, 4-8 August 2019. IEEE. doi: 10.1109/PESGM40551.2019.8973769

Investigation on power generation valley of single-axis tracking arrays at a solar PV plant in Australia

2019

Conference Publication

Operational performance and economic analysis of three PV tracking technologies in an Australian PV plant

Wong, Junying, Bai, Feifei, Khairudin, Muhammad Hafidz B. and Tan, Rodney H.G. (2019). Operational performance and economic analysis of three PV tracking technologies in an Australian PV plant. IEEE PES Innovative Smart Grid Technologies Asia (ISGT Asia), Chengdu, China, 21-24 May 2019. University of Electronic Science and Technology of China: IEEE. doi: 10.1109/ISGT-Asia.2019.8881544

Operational performance and economic analysis of three PV tracking technologies in an Australian PV plant

2018

Journal Article

A measurement source authentication methodology for power system cyber security enhancement

Cui, Yi, Bai, Feifei, Liu, Yong and Liu, Yilu (2018). A measurement source authentication methodology for power system cyber security enhancement. IEEE Transactions on Smart Grid, 9 (4), 3914-3916. doi: 10.1109/TSG.2018.2826444

A measurement source authentication methodology for power system cyber security enhancement

2018

Conference Publication

Learning from a 3.275 MW utility-scale PV plant project: Update and new remarks

Pourmousavi, Seyyed Ali, Wild, Phillip, Bai, Feifei, Yan, Ruifeng, Saha, Tapan and Eghbal, Daniel (2018). Learning from a 3.275 MW utility-scale PV plant project: Update and new remarks. CIGRE Conference, Paris, France, 26-31 August 2018. Paris, France: CIGRE.

Learning from a 3.275 MW utility-scale PV plant project: Update and new remarks

2018

Conference Publication

Variability Study of a Utility-scale PV Plant in the Fringe of Grid, Australia

Bai, Feifei, Yan, Ruifeng and Saha, Tapan Kumar (2018). Variability Study of a Utility-scale PV Plant in the Fringe of Grid, Australia. 2017 IEEE PES Innovative Smart Grid Technologies (IEEE PES ISGT Asia 2017 Conference), Auckland, New Zealand, 4-7 December 2017. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISGT-Asia.2017.8378436

Variability Study of a Utility-scale PV Plant in the Fringe of Grid, Australia

Funding

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

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

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

    Principal Advisor

    Other advisors: Professor Tapan Saha

  • Doctor Philosophy

    Phasor Measurement Unit (PMU) Applications in Distribution Power Networks

    Principal Advisor

    Other advisors: Associate Professor Richard Yan, Dr Yi Cui

  • Doctor Philosophy

    Grid-edge technology development for renewable energy transition

    Principal Advisor

    Other advisors: Professor Tapan Saha, Associate Professor Richard Yan

  • 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

    Ensuring renewable energy zone stability for Australian net-zero transition

    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

  • Master Philosophy

    Frequency Stability Control for Power Grids with Inverter-based Resources

    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

  • 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

Completed supervision

Media

Enquiries

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