Power System Operation, Control, and Planning
Research in this area focuses on integrating transmission and distribution systems, developing advanced control schemes, optimisation techniques, and protection systems to enable a more flexible and resilient grid. Key aspects include dynamic simulation, modeling, and the development of next-generation power system planning tools. These tools need to accurately capture the behavior of emerging grid technologies, such as inverter-based resources, and integrate risk and uncertainty to support robust decision-making. Advances in sensing and measurement are also crucial to provide the data required for these enhanced planning and operational capabilities.
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Research Focus 1
Microgrids and Energy Storage Systems
Research in this area aims to develop cyber-physical systems for microgrids that can enhance grid resilience and security. This includes advanced control and optimisation algorithms for volt/var control, as well as the integration of emerging energy storage technologies. Ensuring the cybersecurity of these systems is a key priority, along with the development of relevant codes and standards to enable widespread adoption.
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Research Focus 2
Advanced Power Electronics and V2G Technologies
Research in this area is on advancing power electronics-based interfaces, such as inverters, to enable the seamless integration of diverse distributed energy resources, energy storage, and flexible loads, including electric vehicles and vehicle-to-grid (V2G) technologies. Research efforts also target the development of ultra-fast EV charging systems and the coordination of transportation systems with the electric grid. Ensuring secure communications and control of these integrated systems is a critical aspect of this work.
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Research Focus 3
AI for Future Smart Grid
Research in this area aims to leverage advanced data analytics and artificial intelligence (AI) to enable a more flexible, responsive, and autonomous grid. Key focus areas include the development of new AI-based models and tools for forecasting, demand response, dispatch, control, and anomaly detection. The goal is to create a grid that can adapt to changing conditions and optimize its operations in real-time, with minimal human intervention.
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Research Focus 4
