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
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
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
Transforming Microgrid to Virtual Power Plant –ICT Frameworks,Tools,Control. The project aims to enhance large scale renewable penetrations to national power grid by advancing control, optimization, and ancillary services of Virtual Power Plants (VPPs), considering different disruptive events including recent South Australian blackout. This project expects to create new control, frame communication architecture, develop plug and play type IoT enabled grid interfacing inverter, and optimize resou ....Transforming Microgrid to Virtual Power Plant –ICT Frameworks,Tools,Control. The project aims to enhance large scale renewable penetrations to national power grid by advancing control, optimization, and ancillary services of Virtual Power Plants (VPPs), considering different disruptive events including recent South Australian blackout. This project expects to create new control, frame communication architecture, develop plug and play type IoT enabled grid interfacing inverter, and optimize resource management for distributed VPPs. The anticipated benefits from this institutional level collaborations are that VPPs help in enhancing national power grid operations during normal and disruptive conditions when more renewables are connected and also secure benefits of consumers, prosumers, and grid operators.Read moreRead less
Power system security assessment given massive intermittent energy sources. This project aims to develop new models and analysis methods to investigate the impact of massive intermittent energy sources (IESs) on the performance and security of power grids. Furthermore, advanced control strategies will be developed to enhance the security. The outcomes can provide useful guidelines to assist the Australian power industry and the government in realising the renewable energy target. Furthermore con ....Power system security assessment given massive intermittent energy sources. This project aims to develop new models and analysis methods to investigate the impact of massive intermittent energy sources (IESs) on the performance and security of power grids. Furthermore, advanced control strategies will be developed to enhance the security. The outcomes can provide useful guidelines to assist the Australian power industry and the government in realising the renewable energy target. Furthermore considering serious blackout can not only cause economic losses, but also larger disturbance in other critical infrastructure, this project also contributes to national security.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100044
Funder
Australian Research Council
Funding Amount
$412,944.00
Summary
Data-driven Wide-area System Strength Monitoring under Weak Grid Conditions. This project aims to investigate and evolve the system strength assessment framework to suit weak electricity grids with substantial renewable sources. It expects to develop a digitalized approach where comprehensive metric indices are estimated by an innovative data-driven system to realize real-time wide-area system strength assessment under weak grid conditions. Advanced methods will also be developed to bridge the g ....Data-driven Wide-area System Strength Monitoring under Weak Grid Conditions. This project aims to investigate and evolve the system strength assessment framework to suit weak electricity grids with substantial renewable sources. It expects to develop a digitalized approach where comprehensive metric indices are estimated by an innovative data-driven system to realize real-time wide-area system strength assessment under weak grid conditions. Advanced methods will also be developed to bridge the gap between data science and energy system applications. The new suite of next-gen metrics and data-driven techniques will offer the world’s most innovative renewable energy products with desired grid support capability and low system strength operability, that would smooth the transition towards low-carbon electricity future.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL160100032
Funder
Australian Research Council
Funding Amount
$2,527,475.00
Summary
Ultralow latency wireless systems. Ultralow latency wireless systems. This project aims to develop theories and practical methods to design wireless communication systems for future generations of internet services. Emerging smart environments and infrastructure could solve major problems facing the world today, by saving energy, reducing pollution, improving health and increasing road safety. However, scientists to date do not know how to build wireless networks with almost zero latency and ult ....Ultralow latency wireless systems. Ultralow latency wireless systems. This project aims to develop theories and practical methods to design wireless communication systems for future generations of internet services. Emerging smart environments and infrastructure could solve major problems facing the world today, by saving energy, reducing pollution, improving health and increasing road safety. However, scientists to date do not know how to build wireless networks with almost zero latency and ultrahigh reliability, needed for machine-to-machine communications. An expected outcome of this project is new criteria and methodologies to design such wireless systems, which would affect future wireless systems and grids.Read moreRead less
Extending the lifetime of switching power converters. This project aims to address the need for longer lifespan of power conversion systems which can withstand failure of its key components. This is achieved through developing more reliable power converter circuits whilst reducing the stress of the components. This project will generate new circuit design and control techniques for power and energy systems, especially in dealing with reliability issues. Expected outcome of this project includes ....Extending the lifetime of switching power converters. This project aims to address the need for longer lifespan of power conversion systems which can withstand failure of its key components. This is achieved through developing more reliable power converter circuits whilst reducing the stress of the components. This project will generate new circuit design and control techniques for power and energy systems, especially in dealing with reliability issues. Expected outcome of this project includes reduction of failure rate of power converters by at least 50%. This should provide benefits for many sectors including emerging technologies in particular renewable energy, electric vehicles and energy storage systems seeking reliable power supply and for the environment with reduced e-waste production.Read moreRead less
Cyber-Physical Security Analyses and Enhancing the Resilience of Smart Grid. The electrical power industry in Australia is undergoing a massive revolution to an intelligent, low-carbon and sustainable smart grid environment. However, due to the heavy reliance on cyber infrastructure and the intermittence of renewables, smart grid will inevitably introduce new security issues, for example, cyber security. This project is to investigate emerging security issues together in a comprehensive framewor ....Cyber-Physical Security Analyses and Enhancing the Resilience of Smart Grid. The electrical power industry in Australia is undergoing a massive revolution to an intelligent, low-carbon and sustainable smart grid environment. However, due to the heavy reliance on cyber infrastructure and the intermittence of renewables, smart grid will inevitably introduce new security issues, for example, cyber security. This project is to investigate emerging security issues together in a comprehensive framework where quantitative models and analysis methods will be explored for smart grid cascading failure analyses. Then innovative three-stage reinforcement strategies (three lines of defence) will be developed to enhance the resilience of smart grid against natural disasters and intentional attacks, and potential large blackouts. Read moreRead less