Student Projects
Prediction and Optimisation for Coordinating Battery Storage
Residential solar PV, battery storage and electric vehicles provide both great challenges and great opportunities for the operation of our electricity networks. It will be crucial to coordinate the operation of these distributed energy technologies (DETs) so as to not overload the network or create large voltage swings. The state-based nature of storage makes it important to predict uncontrollable behaviour and to schedule operations into the future.
There are several potential summer scholar and honours projects in this area, which will contribute to the Bruny Island battery trial conducted as part of the CONSORT project:
- Predicting Distribution Feeder Loads
- Managing Network Operational Uncertainty
- Managing Lost Communications with Robust Defaults
- Efficient Models for Voltage and Capacity Management
- Fair Allocation of Network Costs
- Accelerated and Primal Decomposition Methods
- Formation of a Bruny Island Microgrid
Programming experience will be required for all these projects. Experience in fields such as renewable energy, power systems, machine learning, optimisation and artificial intelligence will also be valuable (depending on the topic). Contact me for further details on these projects.
Courses
COMP4691/8691: Optimisation
ENGN8831: Smart Grids
| 2018 | Slides-1 Slides-2 |
| 2017 | Slides-1 Slides-2 |
ENGN8527: Smart Grids
| 2016 | Slides-1 Slides-2 |
| 2015 | Slides-1 Slides-2 Exercise |
ENGN4524: PV Technologies
| 2014 | Slides-1 Reactive Power Demo |