Primary supervisor
Terrence MakThe research project aims to build:
- An Energy Market Simulator for Future Energy Systems (Smart Grid).
Future energy systems are envisioned to be running decentrally with full automatic control, high proportion of renewable energy (e.g., wind & solar), and abundant storage facilities. With many types of renewable energy sources are weather and climate dependent, accurate simulators with good visualization and data analytic capabilities are needed for operators to control the grid.
In power systems, most of the industrial power systems simulators focused on scienfitic numerical computations and physics simulations for electrical engineers. While traditional simulators are excellent for on-the-field engineers to perform simulations and computing values (e.g., voltage magnitudes) to check for violations, they often lack modern visualization and anaytical tools for market operators and system planners for market operations and system planning. Unfortunately, this often result in information gap and decision alignment issues between market operators, system planners, and electrical engineers.
This project will explore various visualization and data analysis options to integrate with power system simulators. The goal is to build a digital-twin prototype for the future Australia grid.
Required knowledge
Research activities
- Research and study visualization tool for power grid simulation
- Research and study data analytic methods for power systems
Coding level required
- Python: Medium to advanced (Software prototype level)
- Mathlab: Basic (Capable to read and preprocess power system data files)
Skills/Knowledge required
- Good understanding on visualization (FIT5147), data analytics (FIT5149), and data wrangling (FIT5196) are preferred.
- Good understanding on linear algebra
- Basic understanding on physics/electricity (at high-school level)