Digital energy futures: forecasting changing residential electricity demand. This project aims to understand and forecast changing digital lifestyle trends and their impact on future household electricity demand, including at peak times. The project expects to generate new knowledge by employing digital ethnography and sociological theories to investigate how changing social practices will impact on electricity sector planning. Expected outcomes include: scenarios and principles for digital ener ....Digital energy futures: forecasting changing residential electricity demand. This project aims to understand and forecast changing digital lifestyle trends and their impact on future household electricity demand, including at peak times. The project expects to generate new knowledge by employing digital ethnography and sociological theories to investigate how changing social practices will impact on electricity sector planning. Expected outcomes include: scenarios and principles for digital energy futures; an interdisciplinary energy demand forecasting methodology; and demand management tools to help the sector meet future residential consumption. This should provide significant benefits, such as lowering the cost of infrastructure spending, and helping secure affordable electricity provision.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
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
Discovery Early Career Researcher Award - Grant ID: DE180101268
Funder
Australian Research Council
Funding Amount
$367,446.00
Summary
Inference and resilient control of complex cyber-physical networks. This project aims to establish a fundamental framework to efficiently analyse and control critical, modern infrastructure networks such as power grids and the Internet. The project expects to bridge the gap between cyber-physical network theory and network resilience engineering through developing a body of knowledge about cyber-physical systems, security analysis and emergence of network behaviours. The project will develop des ....Inference and resilient control of complex cyber-physical networks. This project aims to establish a fundamental framework to efficiently analyse and control critical, modern infrastructure networks such as power grids and the Internet. The project expects to bridge the gap between cyber-physical network theory and network resilience engineering through developing a body of knowledge about cyber-physical systems, security analysis and emergence of network behaviours. The project will develop design methodologies to improve the resilience of these networks against internal faults and external attacks. This should improve the robustness and invulnerability of Australian power grids and the Internet against random failures and malicious cyber-physical attacks.Read moreRead less
Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart g ....Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.Read moreRead less
Stability Analysis of Power System with Massive Power Electronic Devices. The decarbonization of Australia's power systems is to integrate massive renewable energy sources which are interfaced with many power electronic devices (PEDs). The fast and complex dynamics of PEDs have significantly changed the nature of the power system, which limits the applicability of existing tools and methods to assess its stability. The goal of this project is to gain a comprehensive insight into the stability of ....Stability Analysis of Power System with Massive Power Electronic Devices. The decarbonization of Australia's power systems is to integrate massive renewable energy sources which are interfaced with many power electronic devices (PEDs). The fast and complex dynamics of PEDs have significantly changed the nature of the power system, which limits the applicability of existing tools and methods to assess its stability. The goal of this project is to gain a comprehensive insight into the stability of a futuristic power system with high penetration of PEDs. The intended outcomes will be a model and data jointly driven methodology for high-efficient and real-time stability assessment. The methodology developed in this project will support Australia's transition to a stable, secure, and low-carbon power grid.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
Industrial Transformation Training Centres - Grant ID: IC200100009
Funder
Australian Research Council
Funding Amount
$4,861,236.00
Summary
ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdiscip ....ARC Training Centre in Optimisation Technologies, Integrated Methodologies, and Applications (OPTIMA). OPTIMA addresses industry’s urgent need for decision-making tools for global competitiveness: reducing lead times, and financial and environmental costs, while improving efficiency, quality, and agility. Despite strong expertise in academia, industry is yet to fully benefit from optimisation technology due to its high barrier to entry. Connecting industry partners with world-leading interdisciplinary researchers and talented students, OPTIMA will advance an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, vanguarding a highly skilled workforce of change agents for transformation of the advanced manufacturing, energy resources, and critical infrastructure sectors.Read moreRead less
Tracing the impact of urban experimentation in water and energy domains. This proposal aims to investigate how the processes of experimenting with alternative urban infrastructure systems can lead to sustainable urban transformations. Focusing on the urban water and energy sectors, this project expects to generate new cross-sector knowledge regarding the transition dynamics associated with delivering sustainable urban futures. The anticipated outcomes of examining how innovations become mainstre ....Tracing the impact of urban experimentation in water and energy domains. This proposal aims to investigate how the processes of experimenting with alternative urban infrastructure systems can lead to sustainable urban transformations. Focusing on the urban water and energy sectors, this project expects to generate new cross-sector knowledge regarding the transition dynamics associated with delivering sustainable urban futures. The anticipated outcomes of examining how innovations become mainstream include, improved institutional strategies and enhanced policy and program interventions. This work expects to positively impact the value and associated outcomes of government and private investment in innovative urban infrastructures dedicated to advancing sustainable and resilient urban environments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100056
Funder
Australian Research Council
Funding Amount
$410,154.00
Summary
Accurate Fault Location Methods for Complex Power Networks. This project aims to devise novel algorithms to tackle one of the longstanding and challenging problems in power networks; finding the fault location in power lines. Recent bushfire preventive technologies that have been installed in power networks make the fault location process extremely challenging and time-consuming, leaving communities without power for many hours in extreme heatwave conditions.
The intended outcomes of the projec ....Accurate Fault Location Methods for Complex Power Networks. This project aims to devise novel algorithms to tackle one of the longstanding and challenging problems in power networks; finding the fault location in power lines. Recent bushfire preventive technologies that have been installed in power networks make the fault location process extremely challenging and time-consuming, leaving communities without power for many hours in extreme heatwave conditions.
The intended outcomes of the project are innovative algorithms that are able to pinpoint the fault location more accurately in complex networks, with many fewer measurement devices than conventional methods. This is expected to provide significant benefits for public safety and power supply reliability.Read moreRead less