Degradation conscious grid-scale battery energy management scheme. The project aims to develop an improved battery management system to smooth the intermittent contribution of renewable energy sources to the grid. As the level of penetration of renewable energy sources into electrical grids increases, energy storage will play an increasingly important role in solving some of the technical challenges caused by the intermittent nature of the renewable sources. The existing design methods for gri ....Degradation conscious grid-scale battery energy management scheme. The project aims to develop an improved battery management system to smooth the intermittent contribution of renewable energy sources to the grid. As the level of penetration of renewable energy sources into electrical grids increases, energy storage will play an increasingly important role in solving some of the technical challenges caused by the intermittent nature of the renewable sources. The existing design methods for grid-scale battery management systems do not take into consideration the degradation of the battery banks. Thus, this project aims to fill this gap by developing an electrochemical-based, degradation-conscious, battery management system. The proposed system aims to increase the life span and capacity use of the batteries.Read moreRead less
Harmonic suppression and delay compensation for inverters. The aim of this project is to use variable prediction horizon nonlinear model predictive control to achieve near perfect harmonic suppression for inverters in the face of realistic and unavoidable switching delays. Other aims include further performance improvement based on the application of Kalman observer, and extension of the ideas to a variety of switching topologies and validation of the results by simulation and experiments. The i ....Harmonic suppression and delay compensation for inverters. The aim of this project is to use variable prediction horizon nonlinear model predictive control to achieve near perfect harmonic suppression for inverters in the face of realistic and unavoidable switching delays. Other aims include further performance improvement based on the application of Kalman observer, and extension of the ideas to a variety of switching topologies and validation of the results by simulation and experiments. The intended main outcome of the project is the development of a methodology for non-interfering operation of inverters, particularly, in grid connected applications. This is expected to facilitate a further integration of renewable energy and highly efficient power utilisation. Both factors are crucial in the sustainable clean energy future.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
High power density, low cogging torque and low-cost micro-scale wind turbine generator system utilising soft magnetic composite materials. This project will develop a low-cost, high-performance and high-ef?ciency micro-scale wind turbine generator using a new magnetic material consisting of iron powder, which can be easily pressed into any desirable shape. This allows considerably simpli?ed manufacturing, greater design ?exibility and ease of scaling to higher output powers.
An investigation of the impacts of increased power supply to the national grid by wind generators on the Australian electricity industry. The aim of this project is to discover the most economical and effective way to accommodate large increases in wind power into the national grid and to understand the effects on the national electricity market. This is crucial to ensure stability of electricity supply and affordable prices in the transition towards a low carbon economy.
Advanced Microgrids for Residential, Commercial and Industry Buildings. The project aims to develop and commercialise an Advanced Microgrid Energy-Management System (AM-EMS) to enhance the energy efficiency of residential, commercial and industry buildings. It will allow the industry partner to integrate their existing products in AM-EMS with maximum returns. The intended outcome of the project is an AM-EMS with optimised energy scheduling and distribution, incorporating renewable energy sources ....Advanced Microgrids for Residential, Commercial and Industry Buildings. The project aims to develop and commercialise an Advanced Microgrid Energy-Management System (AM-EMS) to enhance the energy efficiency of residential, commercial and industry buildings. It will allow the industry partner to integrate their existing products in AM-EMS with maximum returns. The intended outcome of the project is an AM-EMS with optimised energy scheduling and distribution, incorporating renewable energy sources and battery storage systems. End-users will benefit from reduced energy costs, improved energy efficiency and reliability, with the added benefit of new and innovative clean energy technology. The research community will benefit from new knowledge that will underpin international improvements in energy efficiency.Read moreRead less
A hybrid system framework for robust model predictive control. This project will produce new analysis and design tools to develop novel hybrid model predictive control systems with guaranteed stability, robustness and fault tolerance. We foresee major benefits for Australia by enhancing its scientific reputation and by promoting safety, efficiency and technological innovation in industries and services.