Oscillation identification and control design for power grid with high renewable energy integration

Modern power systems are experiencing increasing oscillatory stability challenges due to the rapid integration of renewable energy resources and power electronic interfaced technologies. 

These oscillations can threaten system reliability, reduce operational efficiency, and limit the capacity of renewable energy integration. 

A major challenge is the timely identification of oscillation sources and the implementation of effective control measures to prevent their propagation across the network. 

This project aims to develop advanced methods for oscillation source identification and control in modern power systems. 

You will investigate innovative techniques to accurately locate the sources of oscillations and design mitigation and control strategies to enhance system stability. 

The outcomes will support the secure operation of future low-carbon power grids and facilitate the large-scale integration of renewable energy resources.

The School of Electrical Engineering and Computer Science has world-class research facilities in renewable energy integrations, which includes access to several renewable energy generators, Renewable Energy laboratory and industry 4.0 UQ Energy TestLab with hardware-in-loop experimental setup in both RTDS and Opal-RT platforms and state-of-the-art industry-based software tools.

This project is supported by the Research project scholarship.

Learn more about the Research project scholarship.

Your application will be assessed on a competitive basis.

We take into account your:

• previous academic record
• publication record
• honours and awards
• employment history

A working knowledge of inverter-based hardware experiments would be of benefit to someone working on this project.

You will demonstrate academic achievement in the field of power system stability and control with solid knowledge in power electronics-based generators and the potential for scholastic success.

A background or knowledge of power system control, inverter-based resource modeling, and control with PSCAD is highly desirable.

You must submit an expression of interest (EOI) by 16 September, 2026 16 September, 2026.

Before you apply

1. Check your eligibility for the Doctor of Philosophy (PhD).
2. Prepare your documentation.
3. If you have any questions about whether the project is suitable for your research interests, contact Dr Feifei Bai (f.bai@uq.edu.au).

When you apply

To apply, submit an expression of interest (EOI) for the program. You don't need to apply separately for the project or scholarship. How to submit an EOI

In your EOI, complete the ‘Scholarship/Sponsorship’ section with the following details:

1. Are you applying for an advertised project: 'Yes'
2. Project: 'Research project scholarship'
3. Scholarship Code Listed in the Advertisement: RENEWABLE-BAI
4. Link to Scholarship Advertisement: https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/oscillation-identification-and-control-design-power-grid-high-renewable-energy-integration

Submit an EOI