Smart Grids: Grid integration of Distributed Energy Resources (DER)
Project Leader: Nando Ochoa
Sponsors: Local electric distribution companies
Primary Contact: Prof Nando Ochoa (email@example.com)
Keywords: Battery Storage; Distribution Networks; Electric Vehicles; Photovoltaic Systems; Smart Grids
Disciplines: Electrical & Electronic Engineering
The distribution network supplies electricity directly from the transmission system to end users and has been historically designed for unidirectional power flows and with very limited observability. This infrastructure that delivers electricity to our houses, shops, buildings, etc, will need to undergo significant developments to cope with the increased levels of small-to-medium scale distributed energy resources (DER) such as solar PV systems, wind farms, storage, and electric vehicles, and to make the most of large amounts of data.
Australia, home of kangaroos, koalas and more than 10,000 beaches, also has the largest residential PV penetration in the world: more than 1 in 5 houses have PV systems. The adoption of residential batteries is also growing at a pace not seen in other countries. The bi-directionality of power flows and the new behaviour of demand is bringing significant challenges to distribution companies who still need to operate and plan the poles and wires. But there are also many opportunities to be untapped if we find practical and clever ways of orchestrating these distributed energy resources (DER).
The challenges of adapting the operation and planning of the distribution network to new and variable levels of demand and generation require forward thinking and technical innovation, and we are at the forefront of research and development in this sector. From the highly granular and detailed modelling of medium and low voltage networks and DER technologies, to the stochastic quantification of whole-network impacts due to high DER penetrations, to the explotation and, more importantly, the identification of the most cost-effective integration solutions for both network operators and end users, we are positioned as one of the strongest groups worldwide. Working directly with electric distribution companies, we provide academic expertise and facilities to test and develop solutions to bring electricity distribution networks into the low-carbon future.
The PhD project will involve regional companies (data, know-how, and internships) and will investigate, from operational and planning perspectives, practical and futuristic approaches (optimisation, aritificial intelligence) to manage distribution networks with high penetrations of DER.
What are we looking for?
Enthusiastic applicants (any nationality) that want to make a positive impact in the world and are able to work in a collaborative environment. You should have an excellent academic track record in Electrical Engineering (or similar) as well as excellent communication and inter-personal skills. Being familiar with distribution networks, programming languages, as well as distribution analysis and optimisation/AI software packages is a bonus. However, we will also provide the corresponding training.
What are we offering?
Fully funded, enhanced studentships for 3.5 years. This covers full international tuition fees, stipend of AUD 30,000 a year (tax free), a performance-based top up of up to AUD 5,000 a year (tax free), and international relocation assistance of AUD 3,000 to move to one of the most livable cities in the world.
You will be part of one of the world’s top research teams in Smart Distribution Networks. We are a family of like-minded engineers with diverse backgrounds who strive to produce world-class research. We have a very collaborative approach to our research and we also value the social component of our activities.
You can learn more about our team, projects and publications visiting this website: https://sites.google.com/view/luisfochoa/
Interested in this exciting opportunity?
Submit an Expression of Interest including your transcripts and CV:
Further information: https://sites.google.com/view/luisfochoa/