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Competitive advantage
- Expertise in developing distributed multi-agent control strategies for energy storage systems. Distributed multi-agent control strategies provide improved performance compared with decentralised control strategies and have advantages in terms of robustness, scalability, security and flexibility over centralised control strategies.
Impact
- The best approach to brain/machine interfaces suffers from serious limitations, in that their signal/noise degrades as the density of electrodes increases. An embeddable, conformal optics chip will provide a step-change in both clinical and research environments and enable the control of machines through the brain or the enhancement of human abilities.
Successful outcomes
- Development of multi-agent control strategies for both homogeneous and heterogeneous distributed energy storage systems that allow:
- cooperative state-of-charge balancing with no circulating currents
- plug-and-play capability
- monotonic charging/discharging, and
- network topology independent dynamic optimal power flow.
Capabilities and facilities
- UNSW houses one of the largest Real Time Digital Simulators (RTDS) in academic and research institutions globally.
- RTDS allows hardware-in-the-loop simulation, which is the final step before field verification.
- This presents the opportunity for rapid research, development and verification necessary for translating theoretical advances in multi-agent cooperative control into new strategies suitable for deployment in power system networks.
Our partners
- ABB Corporate Research, Sweden