| Other Research Projects |
| Networked Control Systems |
| Micor-actuator Control |
| Past Projects |
Smart Electricity Grid
Project 1: Communication and Control Network for the Future Electricity Smart Grid
Funding Information: Australian Research Council, Linkage Grant 2011-2013, Cheif Investigators: Khan, Mahata and Fu
Project Summary: The main objective of this project is to develop a telecommunications and control network architecture for smart electricity grids. The work will be done in conjunction with Energy Australia (EA). A fourth-generation wireless mesh communication network will be developed to link smart meters and control devices across the electricity grid. This network will be linked to EA's existing optical network. Intelligent predictive load management and control techniques will be developed using an appropriate hierarchical structure. The net outcome will be a network-based hierarchical control system for electricity supply and demand, which will enhance the capacity, efficiency, reliability and security of the existing electric power grid.
Project 2: Distributed Signal Processing and Control in Sensor Networks
Funding Information: Australian Research Council, Discovery Grant 2012-2014, Chief Investigators: Fu and Marelli.
Project Summary: A distributed sensor network is a web of a large number of intelligent sensing and computing devices connected via a multi-layer telecommunication network involving both wired and wireless technologies. The complexity of such a network calls for new estimation and control techniques. These include distributed sampling methods for better temporal and spatial measurements; smart encoding/decoding algorithms to reduce the communication traffic; and distributed state estimation and control design algorithms for mitigating packet losses and delays. This project will make major contributions to the theory and applications of distributed sensor networks and establish a critical mass of international standing in the area.
Project 3: State Estimation for Smart Electricity Networks
Funding Information: Funded by ARC Centre of Excellence, Centre for Complex Dynamic Systems and Control, Chief Investigators: Fu, Marelli, Xin.
Project Summary: This project studies the power system dynamic state esttimation problem for smart electricity networks. We consider the combined use of traditional SCADA maesurements and the more modern PMU measurements, but we also consider the packet loss and communication delays caused by unreliable communication networks. The project aims to seek robust state estimation algorithms. Specific technical issues to be studied include: optimal estimation algorithm; probablisitc assessment of state estimation errors; optimal placement of PMU units; and robustness of state estimation.