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
The impact of the mass-adoption of electric cars on the Australian electricity grid. This project represents the first technical study in Australia into the impact on the electric utility system of the mass adoption of electric vehicles. At present, road transport accounts for 12 per cent of greenhouse gas (GHG) emissions in Australia. The mass adoption of electric vehicles could reduce GHG in transport by up to 24 per cent when charged from the current grid or by 100 per cent if using renewable ....The impact of the mass-adoption of electric cars on the Australian electricity grid. This project represents the first technical study in Australia into the impact on the electric utility system of the mass adoption of electric vehicles. At present, road transport accounts for 12 per cent of greenhouse gas (GHG) emissions in Australia. The mass adoption of electric vehicles could reduce GHG in transport by up to 24 per cent when charged from the current grid or by 100 per cent if using renewable power. As well as receiving environmental advantages, Australia will benefit from this project through: (1) advancements in the management of the electricity distribution system by the development of a smart grid; (2) the development of principles for the placement of charging stations suitable for unique local conditions, such as Australia's long distances.Read moreRead less
Regulation of the Cell Bus Voltages of Large Scale Modular Multilevel Converters: Advanced Energy Converters for Future Electricity Grids. Large scale power electronic converters are essential to the emerging “Smart Grid” electrical distribution networks, using large numbers of cascaded cells to operate at the very high voltages that are required for direct grid connection. At present, the fundamental factors that drive the fluctuations of the cell DC link voltages, including in particular the c ....Regulation of the Cell Bus Voltages of Large Scale Modular Multilevel Converters: Advanced Energy Converters for Future Electricity Grids. Large scale power electronic converters are essential to the emerging “Smart Grid” electrical distribution networks, using large numbers of cascaded cells to operate at the very high voltages that are required for direct grid connection. At present, the fundamental factors that drive the fluctuations of the cell DC link voltages, including in particular the complex non-linear interactions caused by the physical cell switching processes, are very poorly understood. This project will use a new harmonic analysis strategy to investigate the basic engineering science that underpins this voltage fluctuation phenomena, to achieve a quantum step in the understanding of the fundamental operating processes of large scale cascaded converters.Read moreRead less
Quantification, optimisation, and application of deep uncertainty. This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interva ....Quantification, optimisation, and application of deep uncertainty. This project aims to develop a framework for deep uncertainty quantification. There is currently a fundamental gap between deep learning research and the methods required to quantify and manage uncertainties. The research will propose a novel distribution-free methodology to generate deep predictive uncertainty estimates to avoid the assumptions of existing methods. The quality of estimates will be enhanced by applying an interval-based adversarial training step. The project is expected to help data-driven Australian organisations and industries to better quantify and manage forecasting uncertainties. This project will provide them with significant cost savings through better decision making and more robust planning.Read moreRead less