A/Prof Rakibuzzaman Shah
| Name | Dr Rakibuzzaman Shah | 
|
|---|---|---|
| Position title | Associate Professor | |
| Campus | Mt Helen | |
| Room | Y224 | |
| Phone | +613 53276318 | |
Research interests
- Future Power Grids (i.e. Renewable energy integration, wide-area control).
- Asynchronous Grid Connection through VSC-HVDC.
- Power System Stability and Dynamics.
- Application of Data Mining in Power System.
- Application of Control Theory in Power System.
- Distribution System Energy Management and low carbon energy system.
Short biography
Dr. Rakibuzzaman Shah is an Associate Professor in Smart Power Systems Engineering. Dr. Shah has extensive experience working with and consulting for DNOs and TSOs on various projects, including collaborative work on projects such as the EPSRC project on Multi-terminal HVDC, HOME Offshore: Holistic Operation and Maintenance for Energy from Offshore Wind Farms, and Scottish and Southern Energy Multi-infeed HVDC. His primary focus has been on the dynamic impact of integrating new technologies and power electronics into large systems. Dr. Shah was among the first group of researchers outside the USA to work on large-scale PV integration and stability issues in power systems, and his work was recognised as one of the five special session papers in 2010 IEEE PES GM. He has been involved in several successfully funded projects totaling around $3.9 million from the government, industry partners, and universities (20 industry reports as a lead investigator). He has over 106 international publications, with 52 journal papers in the core power and energy area (85% of which are Q1/D1 journals). His research interests include future power grids, including power system dynamics, power electronic converter control, renewable energy integration, energy storage and demand response, community energy, and power system security. He has supervised eight HDR students to completion and is currently supervising seven HDR in power and energy systems, data mining in power systems, demand response, and AI-based condition monitoring
Qualifications
- Ph.D. in Electrical Engineering, The University of Queensland, Australia, 2014.
- M. Eng in Energy, Asian Institute of Technology, Thailand, 2009.
- B.Sc Eng in Electrical Engineering, Khulna University of Engineering and Technology, Bangladesh, 2005.
Teaching areas
- Dynamics and Control
- Power System Analysis
- Electromechanical Energy Conversion
- Microgrid and Energy Storages
- IoT in Smart Energy System