Discovery Early Career Researcher Award - Grant ID: DE240100059
Funder
Australian Research Council
Funding Amount
$445,007.00
Summary
Robust Renewables Hosting Capacity Enhancement for Distribution Networks. This project aims to quantify technical margins and devise novel robust renewables hosting capacity enhancement methods for active distribution networks. High renewables penetration has impaired power quality and network operational reliability, thus reducing renewables utilisation rate and impeding further installation. The intended outcomes are innovative data-driven robustness design methods against complex and uncertai ....Robust Renewables Hosting Capacity Enhancement for Distribution Networks. This project aims to quantify technical margins and devise novel robust renewables hosting capacity enhancement methods for active distribution networks. High renewables penetration has impaired power quality and network operational reliability, thus reducing renewables utilisation rate and impeding further installation. The intended outcomes are innovative data-driven robustness design methods against complex and uncertain operating conditions, which are able to secure increasing renewables penetration and installation. With emerging community battery and hydrogen electrolyser, a suite of operation and planning methods will be developed, allowing utility operators and government agencies to expedite zero-emission energy transition.Read moreRead less
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
From innovators to mainstream market: a toolkit for transforming Australian housing and maximising sustainability outcomes for stakeholders. As a significant national asset, Australia's housing needs to provide economic, social and environmental value to occupants, owners and the broader society. Learning from innovation, this project will deliver strategies to improve the productivity of the housing sector and enhance the value proposition of sustainable homes for all stakeholders.
The human side of energy security. This project plans to develop a decision enactment model to guide industry and policy makers in producing more effective energy decisions. Managing our energy supply to ensure access to reliable, affordable and sustainable energy is vital to Australian economic growth and quality of life. However, energy security is continually under threat from manipulation of supply, ageing infrastructure and natural disasters. Solutions from economic and engineering perspect ....The human side of energy security. This project plans to develop a decision enactment model to guide industry and policy makers in producing more effective energy decisions. Managing our energy supply to ensure access to reliable, affordable and sustainable energy is vital to Australian economic growth and quality of life. However, energy security is continually under threat from manipulation of supply, ageing infrastructure and natural disasters. Solutions from economic and engineering perspectives only partially address these issues because they overlook critical human factors that underpin energy security. The project plans to use a practice-based approach to examine energy-related firms and agencies to explain how decisions and actions that take place within these contexts shape our energy future.Read moreRead less
Power quality monitoring of grids with high penetration of power converters. The project aims to monitor and analyse power quality of grids within the frequency ranges of 0-2 kHz (existing regulations) and 2-150 kHz (new regulations). Power quality of grids deteriorate due to the high penetrations of inverter-based renewable energy systems. To estimate power quality of grids, the project expects to develop a multi-domain simulation model based on power grid configurations and operating condition ....Power quality monitoring of grids with high penetration of power converters. The project aims to monitor and analyse power quality of grids within the frequency ranges of 0-2 kHz (existing regulations) and 2-150 kHz (new regulations). Power quality of grids deteriorate due to the high penetrations of inverter-based renewable energy systems. To estimate power quality of grids, the project expects to develop a multi-domain simulation model based on power grid configurations and operating condition. Developed methodologies will assist network service providers to better analyse harmonics and resonances within low and high voltage power systems. Expected outcomes of this project are to assist partners to monitor and solve the existing communication issues of audio frequency load control and to address power quality issues arising from the increasing connection of renewable energy systems.Read moreRead less
Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coord ....Energy big data analytics from a cybersecurity perspective. This project aims to develop a framework on energy big data analytics from security and privacy perspectives. Unlike other big data analytics such as social network big data analytics, energy big data analytics involve research challenges on how to cope with real-time tight cyber-physical couplings, and security/safety of the smart grid system. This project will develop advanced data-driven algorithms that are capable of detecting coordinated cyber-attacks that will potentially lead to catastrophic cascaded failures; and develop new solutions in detecting the false data-injection attacks that are conventionally considered as unobservable. This project will provide the benefit of enhancing our national critical infrastructure's security.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
Mitigating the risks of cyberattacks on cyber-physical power systems. Cyber threats are a pertinent issue facing power systems as part of national critical infrastructure. This project will develop a systematic theory to capture the dynamic risk propagation of cyberattacks on cyber-physical power systems. Focusing on the physical domain of cyber-physical power systems, the theory includes offline risk modelling with consideration of attack intentions for risk propagation of cyberattacks, an onli ....Mitigating the risks of cyberattacks on cyber-physical power systems. Cyber threats are a pertinent issue facing power systems as part of national critical infrastructure. This project will develop a systematic theory to capture the dynamic risk propagation of cyberattacks on cyber-physical power systems. Focusing on the physical domain of cyber-physical power systems, the theory includes offline risk modelling with consideration of attack intentions for risk propagation of cyberattacks, an online risk assessment method to quantify the risk propagation of cyberattacks, and resilient control strategies to mitigate cyberattack risks. The outcomes will not only advance knowledge in cyber-physical security but also facilitate an accelerated adoption of the increasing renewable energy sources into the power grid.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
Mechanisms of Ammonia (NH3) Combustion and Nitrogen Oxides (NOx) Formation. A mature commodity that can be readily made from renewable resources, ammonia (NH3) offers an environmentally sustainable and low-cost means of transition from fossil fuels to a clean, low-carbon and renewable energy future. The technical challenge is to combust NH3 efficiently with low nitrogen oxides (NOx) emissions. This project will advance the science of NH3 combustion and NOx formation. By applying innovative fixed ....Mechanisms of Ammonia (NH3) Combustion and Nitrogen Oxides (NOx) Formation. A mature commodity that can be readily made from renewable resources, ammonia (NH3) offers an environmentally sustainable and low-cost means of transition from fossil fuels to a clean, low-carbon and renewable energy future. The technical challenge is to combust NH3 efficiently with low nitrogen oxides (NOx) emissions. This project will advance the science of NH3 combustion and NOx formation. By applying innovative fixed-bed and fluidised-bed reactor techniques and kinetic modelling, the research will unravel fundamental characteristics and mechanisms of NH3 combustion, NOx formation and in-situ destruction that underpin the development and deployment of practical combustion systems for power generation using NH3 as a carbon-free fuel.Read moreRead less