Power Electronics and Power Systems

Works on grid-connected renewable energy systems and microgrids, together with wide-area monitoring and control of power systems, drawing on applied mathematics for power system analysis.

Works on computer-aided power system analysis and modelling, spanning power system protection, security, and optimisation, distribution system analysis, and the integration of renewable energy sources. Research applies artificial intelligence techniques — including machine-learning approaches to fault diagnosis in transmission systems — and covers microgrid sizing, energy management for green buildings, and real-time monitoring, automation, and control of microgrid networks.

Works on power electronics and motor drives, with emphasis on medium-voltage drives, electric machine design, and sensorless control techniques. Research includes current-source and voltage-source inverter configurations for medium-voltage induction motor drives and novel machine topologies such as dual-stator induction machines.

Works on multilevel inverters and open-end winding induction motor drives, including hybrid multilevel topologies that combine two-level inverters with capacitor-fed H-bridge cells, and fault-tolerant drive configurations. Related interests span pole-phase-modulated electric drives, switched-mode power conversion, microgrids, and power quality and control.

Leads the Power Electronics and Embedded Control (PEEC) Lab, working on power converters for renewable energy sources and storage, distributed generation, and microgrid design. Research includes reconfigurable microgrid architectures combining photovoltaic, wind, micro-hydro, and fuel-cell sources with ultra-capacitor and battery storage, alongside electric drives, embedded control, and standalone systems.

Works on computer-aided power system analysis and modelling, spanning power system protection, security, and optimisation, distribution system analysis, and the integration of renewable energy sources. Research applies artificial intelligence techniques — including machine-learning approaches to fault diagnosis in transmission systems — and covers microgrid sizing, energy management for green buildings, and real-time monitoring, automation, and control of microgrid networks.

Works on smart grids and the information architectures underpinning power system control centres, including common information models, interoperability, and standards for smart grid and smart city deployments. Research extends to demand response, renewable energy integration, microgrids, peer-to-peer energy trading, and distribution system resilience.

Works on the grid integration of renewable energy, with emphasis on flexible power point tracking of photovoltaic systems — including distributed and serially coordinated power referencing schemes and neural-network approaches for improved dynamic response. Related interests span microgrids and power system stability and optimisation.