PhD Opportunity in Advanced Inverter Control
About the Project
This PhD position focuses on developing and evaluating advanced control strategies for Grid-Forming Inverters (GFMIs) to ensure grid reliability and stability.
Project Objectives:
* Develop advanced control strategies to improve fault tolerance in GFMIs.
* Ensure robust synchronization stability under diverse grid conditions.
* Optimize reactive power response to comply with Australian National Electricity Rules (NER).
Research Approach:
* Design nonlinear control algorithms, including Virtual Oscillator Control (VOC), model predictive control, and robust adaptive control.
* Conduct rigorous stability analysis under various operating scenarios.
* Optimize controller parameters for dynamic grid conditions.
* Simulate and validate controller performance using PSCAD or MATLAB/Simulink.
Expected Outcomes:
* Enhanced fault tolerance and grid stability for GFMIs.
* Improved synchronization performance under varying grid strengths.
Requirements:
* Background in electrical engineering, power systems, control engineering, or a related field.
* Experience with control systems and simulation tools such as MATLAB/Simulink or PSCAD is desirable.
How to Apply:
Contact Dr. Ying Tang at yingt@unimelb.edu.au for further information or submit an expression of interest.