Novel Hybrid Droop and Model Predictive Control for Community Microgrids. This project aims to increase energy resilience and efficiency by utilising next-generation community microgrids, in which pow

Description

Novel Hybrid Droop and Model Predictive Control for Community Microgrids. This project aims to increase energy resilience and efficiency by utilising next-generation community microgrids, in which power shortfall in one household can be compensated by the excess power available from its neighbours. It expects to generate significant new knowledge in grid integration of power electronics interfaced distributed energy resources. Expected outcomes include new network architectures and innovative power converter control methods to utilise local energy sources. This project will unlock the full potential of community energy to generate reliable electricity independently during bushfires and extreme weather events. It will also help in meeting emission reduction targets by facilitating renewable energy uptakes. . Scheme: ARC Future Fellowships. Field: 4007 - Control Engineering, Mechatronics and Robotics. Lead: Prof Jiefeng Hu