Advanced inverter control for distributed energy systems. This project aims to discover innovative fundamental approaches for the control of electrical grids with a diverse and changing mix of generation sources. It will generate new knowledge in the area of electrical power system control by researching innovative and advanced inverter control techniques coupled to advanced power system models. The expected outcomes are advanced power system control techniques that remove the emerging barriers ....Advanced inverter control for distributed energy systems. This project aims to discover innovative fundamental approaches for the control of electrical grids with a diverse and changing mix of generation sources. It will generate new knowledge in the area of electrical power system control by researching innovative and advanced inverter control techniques coupled to advanced power system models. The expected outcomes are advanced power system control techniques that remove the emerging barriers to increased penetrations of distributed generation and energy storage. The benefit of the research includes an Australian-developed solution to many of the difficulties faced by grid operators around the world in incorporating increased renewable generation and energy storage in their power systems.Read moreRead less
Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on fore ....Robust AI Planning for Hybrid Systems. Automated planning, a core area of Artificial Intelligence, can effectively deal with the automatic synthesis of optimised action strategies for discrete system models. Extending the reach of planning to hybrid discrete/continuous systems, under exogenous uncertainty, is a widely open problem which this project will address. This will enable the proactive, and therefore more effective, management of microgrids and other cyber-physical systems, based on forecast information.Read moreRead less