Clean Energy Capability Portfolio | Grid Transformation |
Competitive Advantage • Advanced sensing and data analysis methods for fault diagnosis , process monitoring , and optimisation of smart grids
• Sustainable transportation and energy systems – combined PV-EV hosting capacity calculation and planning
• Efficient computational algorithms for the robust operation of distribution networks under extreme events
• Quantum-inspired reinforcement learning-based lifelong management of smart grids with renewable energy sources
Impact • Reduce lifetime maintenance costs of renewable assets
• Increase the hosting capacity of EVs and minimise charging costs
• Enhance grid resilience against extreme weather events and cyberattacks
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• Risk assessment in bulk energy grids ( funded by Swiss Competence Centers in Energy Research )
• The vulnerabilities of future interdependent energy network ( funded by the Swiss National Science Foundation )
Capabilities and Facilities • State-of-the-art reinforcement learning-based optimisation
• Deep learning-based data analysis and forecasting
• Energy Workbench Server
• Over 20 high-performance workstations
• PSCAD and PSSE software
• Degradation testing platform
• Ultrasonic and imaging non-destructive evaluation system
Our Collaborators |
More Information Associate Professor Daoyi Dong School of Engineering and Technology T : + 61 2 5114 5140 E : d . dong @ adfa . edu . au
Dr Huadong Mo School of Systems and Computing T : + 61 2 5114 5183 E : huadong . mo @ unsw . edu . au
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Successful Applications |
• Zepben |
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• Energy Workbench Server and Zepben |
• Essential Energy |
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• Mitigating the threat of impacts on infrastructure via reinforcement learning-based decisions ( funded by DSTG ) |
• Swiss Grids
• MTR ( Hong Kong )
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• Intelligent maintenance of transmission grid assets ( funded by the Swiss Federal Office of Energy ) |
• Boeing |
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