Smart energy systems

Research highlights

• Harmonic analysis and EMI elimination techniques for AC tractions power supply system under unbalanced grid conditions.
• Design and analysis of a consensus-based control scheme for voltage and reactive power control in microgrids.
• Development of a dynamic model and suitable control techniques for module-integrated converters for PV arrays that are partially shaded by obstructions.
• Real-time high performance dynamic simulation tools for analysing large-scale power systems.
• PMU based wide-area monitoring, protection and control of modern power systems.
• Application of modular multi-level cascaded converters for reactive power control under unbalanced network conditions.
• Modular multi-level converter-based FACTS devices for active power filtering and power flow control in transmission lines.
• Stochastic wind power forecasting and robust economic dispatch considering uncertainties from both renewable generations and EV charging.
• Energy efficient control of HVDC VSC considering various losses.
• Multi-vector energy analysis for interconnected power and gas systems.
• Battery state estimation and management incorporating both thermal and electric performance and advanced fibre sensing technology.
• A new generation of AI enabled secure and reliable cloud-based energy monitoring platform.

Collaborations and partnerships

The group works closely with a broad range of international collaborators, such as ETH Zurich, TU Delft, Iowa, EPRI (Nari), CAS, UCEER (UK-China University Consortium) as well as governmental research laboratories such as the French National Researcher Council (CNRS), the National Fund for Scientific Research (FNRS), and the French Institute for Research in Computer Science and Automation (INRIA).