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
Discovery Early Career Researcher Award - Grant ID: DE210100274
Funder
Australian Research Council
Funding Amount
$415,675.00
Summary
Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes wil ....Graph Neural Networks for Efficient Decision-making towards Future Grids. This project aims to develop a breakthrough framework for decision-focused learning by integrating explainable graph neural networks and efficient computational methods. It expects to create new methodologies of graph representation learning for unlocking data insight with spatiotemporal knowledge while to build new accelerated optimisation theories for speeding up decision-focused learning model. The expected outcomes will advance big spatiotemporal data analytics and nonlinear optimisation theory for solving decision-making tasks towards a future energy system. This should promote the Australian power industry transition to a sustainable future grid based on a digitalisation approach to efficient energy management against climate changes.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
A Next Generation Smart Solid-State Transformer for Power Grid Applications. The research aims to design, develop and implement a next generation, compact and light-weight, smart solid-state transformer with a newly developed high-frequency magnetic link and power converters that will provide a better and faster voltage transformation and regulation and support the power grids. The proposed research will revolutionize the power grids by replacing the traditional transformer with a new device mad ....A Next Generation Smart Solid-State Transformer for Power Grid Applications. The research aims to design, develop and implement a next generation, compact and light-weight, smart solid-state transformer with a newly developed high-frequency magnetic link and power converters that will provide a better and faster voltage transformation and regulation and support the power grids. The proposed research will revolutionize the power grids by replacing the traditional transformer with a new device made of solid-state power modules that will have multi-feature and multi-function ability and control facilities. The technology developed in this research will help make energy networks more efficient, smart, reliable and flexible, having direct benefits to renewable energy growth, with long-term impact on national economy.Read moreRead less
Compact reliable fault-tolerant modular high power converters. Compact reliable fault-tolerant modular high power converters. This project aims to deliver new and advanced converter hardware and control designs with drastically smaller reactive components that are cheaper to convert, more reliable and compact. Voltage and current-sourced modular multilevel converters have delivered the required voltage/current/power ratings for utility applications such as static compensators and high-voltage di ....Compact reliable fault-tolerant modular high power converters. Compact reliable fault-tolerant modular high power converters. This project aims to deliver new and advanced converter hardware and control designs with drastically smaller reactive components that are cheaper to convert, more reliable and compact. Voltage and current-sourced modular multilevel converters have delivered the required voltage/current/power ratings for utility applications such as static compensators and high-voltage direct current transmission. However, these energy storage components, including embedded batteries, are overwhelmingly large. Anticipated outcomes are that compact, cheaper and even more efficient power electronic energy converters will enable much needed sustainable energy grids; reduce the cost of integrating renewable energy generation in the grid and achieve even more efficient electronic control of electric systems.Read moreRead less
Advanced Modular Reconfigurable Energy Storage and Conversion Systems. The project aims to develop advanced, modular, reconfigurable energy conversion systems utilising lithium-titanate batteries. Battery energy storage is critical to energy security and integration of increased renewable generation with the electricity grid. However, its high cost prohibits its wide commercial acceptance. The proposed system avoids a large number of series connections of batteries and raises the voltage by usin ....Advanced Modular Reconfigurable Energy Storage and Conversion Systems. The project aims to develop advanced, modular, reconfigurable energy conversion systems utilising lithium-titanate batteries. Battery energy storage is critical to energy security and integration of increased renewable generation with the electricity grid. However, its high cost prohibits its wide commercial acceptance. The proposed system avoids a large number of series connections of batteries and raises the voltage by using series connection of high-frequency isolated converters for transformerless interconnection of such battery energy storage systems with the grid. The project outcomes include new grid support technologies.Read moreRead less
Smart house energy management system. This multidisciplinary project will empower Australia's power industry with tools and knowledge that will enable the transformation to be more intelligent and flexible. It will help reduce greenhouse gas emissions and increase energy efficiency by smarter use of the resources at household level.
Distributed control for wide-area demand response. This project underpins the paradigm shift from load following to load shaping in power system operation by unlocking the untapped potential of the demand side. The approach taken is to use modern ideas in distributed control. This will facilitate large-scale integration of renewable energy sources and thus render the energy supply more sustainable.