Thomas Morstyn

Power systems are undergoing a fundamental transition due to the rapid adoption of distributed renewable generation, the electrification of heating and transport, and the new availability of customer-level sensing, communications and control. Together, these trends significantly increase the scope for coordination across system planning and operation and the value that can be created in terms of improved reliability, affordability, and sustainability. However, they also ramp up system complexity and challenge the core assumptions which traditional approaches for power grid coordination relied upon. My research focuses on addressing these challenges through computational research across power systems modelling, control, planning and market design. This brings together power system domain knowledge, rigorous mathematical theory, and the latest advances in computing. I also collaborate with economists, computer scientists and social scientists to address interdisciplinary challenges for the energy sector.

Optimal reliability thresholds for stochastic flexibility aggregators in European reserve markets Scalable multi-level optimization for sequentially cleared energy markets with a case study on gas and carbon aware unit commitment QAOA-Driven PMU placement optimization with graph learning-based parameter initialization refinement Independent aggregators securing end user Wasserstein distributionally robust flexibility through bilevel incentives Unlocking electric vehicle flexibility in microgrids via lightweight on-charger coordination