Design of advanced input-output and data analytics graphical user interface for a low-carbon power system operation and planning tool
A tool is being developed by a multi-disciplinary team at the University of Melbourne to perform optimal planning and simulate the operation and performance of future low-carbon power systems with large shares of renewables and distributed energy resources. The model is currently being used to study planning options for the National Electricity Market in Australia and for the UK transmission system. Through advanced data analytics, the tool will include a graphical user interface (GUI) to facilitate clarity in the large amount of required input data and in the interpretation and analysis of the results.
This internship will support the development of the GUI and will provide the student with a unique opportunity to gain an in-depth understanding of state-of-the-art power system operation, planning and relevant tools, while also improving their skills in coding, database management, and data analytics.
The candidate should have excellent knowledge of programming, some background in data analytics, and ideally experience in one or more of the following programming languages: Python, Julia, and MATLAB.
UoM Supervisors
- Prof Pierluigi Mancarella, MEI Program Leader, Energy Systems, Chair Professor of Electrical Power Systems, Electrical and Electronic Engineering
- A/Prof Lingxi Zhang, Associate Professor, Infrastructure Engineering
- Dr Alysson Costa, Senior Lecturer, School of Mathematics and Statistics
How to apply
Applications are closed.