Congestion control of networks: a unified stochastic framework. Systems such as the internet, wireless networks and the power grid require efficient allocation of shared resources. This research will develop ways to reduce delays in the internet and allow for growth in the power grid, without requiring additional infrastructure.
Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable.
These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and be ....Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable.
These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and better use of renewable energy sources, with significant cost savings for railways and the wider community.Read moreRead less
Competitive supplier bidding in supply chains. This project will use mathematical modelling to contribute to better management practice in dealing with procurement. With the increasing use of auctions and sophisticated bidding procedures it is essential to improve our understanding of this important area.
Multipoint voltage sensor for high power distribution lines. This project will develop a new electric field sensor array for electricity transmission systems. The project proposes novel sensor designs based on hybrid technology; fibre optics and liquid crystals. Investment in student and researcher training will provide the industry, still in its early growth phase, with future human resources and strengthen research and development programs. The outcomes of this project will benefit our Austr ....Multipoint voltage sensor for high power distribution lines. This project will develop a new electric field sensor array for electricity transmission systems. The project proposes novel sensor designs based on hybrid technology; fibre optics and liquid crystals. Investment in student and researcher training will provide the industry, still in its early growth phase, with future human resources and strengthen research and development programs. The outcomes of this project will benefit our Australian-based Partner Organisation, Smart Digital Optics PTY LTD and will also increase Australian research expertise in the field of photonics materials.Read moreRead less
Advanced electrochemical capacitors. This project aims to design electrochemical capacitors that can provide self-sustaining power for equipment using renewable energy sources, such as sunlight. Electrical power systems are needed to supply both the peak power and the energy demand that users, particularly those without grid electricity, and their equipment need. This project will match the capacitator electrochemistry to the power attributes of the load and charging source, making them more eff ....Advanced electrochemical capacitors. This project aims to design electrochemical capacitors that can provide self-sustaining power for equipment using renewable energy sources, such as sunlight. Electrical power systems are needed to supply both the peak power and the energy demand that users, particularly those without grid electricity, and their equipment need. This project will match the capacitator electrochemistry to the power attributes of the load and charging source, making them more efficiently charged and able to supply both peak power and energy demand for improved off-grid power supplies and integration of renewable energy into electricity grids.Read moreRead less
Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in ....Dynamic Deep Learning for Electricity Demand Forecasting. This project aims at developing a deep learning technology for high resolution electricity demand forecasting and residential demand response modelling. Electricity consumption data are dynamic and highly uncertain. The deep learning technology expects to provide accurate demand forecasting, and thus enabling optimal use of existing
grid assets and guiding future investments. The expected outcome can support data-driven decision-making in Australia's electricity distribution network planning and operation by considering future challenges such as integrating battery storage and electric vehicles into the grid, and thus providing reliable energy. The project expects to train next generation expert workforce for Australia's future power grid.Read moreRead less
Building Australia's Electric Vehicle Fast Charging Infrastructure. This project aims to enhance the resilience, safety, and efficiency of electricity grids operated with fast-charging Electric Vehicles (EVs) by developing new control and optimisation frameworks. This project expects to develop new robust controllers for EV fast-charging infrastructure operated in coordination with wind and solar generated electricity. Expected project outcomes include enabling fast-charge EV infrastructure to b ....Building Australia's Electric Vehicle Fast Charging Infrastructure. This project aims to enhance the resilience, safety, and efficiency of electricity grids operated with fast-charging Electric Vehicles (EVs) by developing new control and optimisation frameworks. This project expects to develop new robust controllers for EV fast-charging infrastructure operated in coordination with wind and solar generated electricity. Expected project outcomes include enabling fast-charge EV infrastructure to be developed and deployed in Australia by the industry partner SwitchDin. Expected benefits including enabling significant reduction in carbon emissions from the transportation sector, accelerating the energy transition to renewables, and placing Australian industry at the forefront of EV grid integration technology.Read moreRead less
Exploring Emerging Collective Behaviours in Large-Scale Data-Driven Networked Systems. Understanding emerging collective behaviours in large-scale data-driven networked systems and developing methodology and approach for pattern identification and intervention are very important for high impact applications such as smart energy supply using smart meters. This project will propose a new theory for the developments, which will enhance Australia's leading position in this research and provide a cut ....Exploring Emerging Collective Behaviours in Large-Scale Data-Driven Networked Systems. Understanding emerging collective behaviours in large-scale data-driven networked systems and developing methodology and approach for pattern identification and intervention are very important for high impact applications such as smart energy supply using smart meters. This project will propose a new theory for the developments, which will enhance Australia's leading position in this research and provide a cutting-edge technology for industrial applications and training of the next generation of leading researchers.Read moreRead less
Loss-based Bayesian Prediction. This project proposes a new paradigm for prediction. Using state-of-the-art computational methods, the project aims to produce accurate, fit for purpose, predictions which, by design, reduce the loss incurred when the prediction is inaccurate. Theoretical validation of the new predictive method, without reliance on knowledge of the correct statistical model, is an expected outcome, as is an extensive numerical assessment of its performance in empirical settings. T ....Loss-based Bayesian Prediction. This project proposes a new paradigm for prediction. Using state-of-the-art computational methods, the project aims to produce accurate, fit for purpose, predictions which, by design, reduce the loss incurred when the prediction is inaccurate. Theoretical validation of the new predictive method, without reliance on knowledge of the correct statistical model, is an expected outcome, as is an extensive numerical assessment of its performance in empirical settings. The new paradigm should produce significant benefits for all fields in which the consequences of predictive inaccuracy are severe. Problems that lead to substantial economic, financial or environmental loss if predictions are incorrect will be given particular attention.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180101118
Funder
Australian Research Council
Funding Amount
$314,446.00
Summary
Enabling high photovoltaic penetration in power distribution networks. This project aims to develop a novel hybrid control method for power distribution grid network voltage regulation with high photovoltaic penetration. The outcome of this project will enable power utilities to cost-effectively regulate network voltage and ultimately remove barriers for future photovoltaic deployment. This will deliver significant economic benefits for both the wider community and utility providers, along with ....Enabling high photovoltaic penetration in power distribution networks. This project aims to develop a novel hybrid control method for power distribution grid network voltage regulation with high photovoltaic penetration. The outcome of this project will enable power utilities to cost-effectively regulate network voltage and ultimately remove barriers for future photovoltaic deployment. This will deliver significant economic benefits for both the wider community and utility providers, along with substantial environmental outcomes through increased use of sustainable energy sources.Read moreRead less