Dr Thomas Morstyn

Lecturer in Power Electronics and Smart Grids



No Fixed Office

Social Media: 

Engineering Discipline: 

  • Electronics and Electrical Engineering

Research Institute: 

  • Energy Systems

Research Theme: 

  • Energy and Climate Change
  • Energy Policy, Economics and Innovation
  • Power Systems


Dr. Thomas Morstyn is a Lecturer in Power Electronics and Smart Grids with the School of Engineering at the University of Edinburgh. He leads the EPSRC project "A Networked Market Platform for Electric Vehicle Smart Charging", and he co-leads the EPSRC project "EnergyREV - Market Design for Scaling Up Local Clean Energy Systems". He is also an Associate with the Oxford Martin School at the University of Oxford.

Thomas received the BEng (Hon.) degree from the University of Melbourne in 2011, and a PhD from the University of New South Wales in 2016, both in electrical engineering. Before undertaking his PhD, he spent two years working in Rio Tinto’s Technology and Innovation Group. After completing his PhD he spent four years with the Energy and Power Group at the University of Oxford.

His research interests include multi-agent control and market design for integrating distributed energy resources into power system operations.

Academic Qualifications: 

  • PhD in Electrical Engineering, University of New South Wales, 2016.      
  • BEng in Electrical Engineering with First Class (H1) Honours, University of Melbourne, 2011.


Research Interests: 

Power systems are undergoing a fundamental transition due to the rapid adoption of distributed energy resources, including solar generation, electric vehicles, home batteries and heat-pumps. Thomas' research focuses on the design of control systems and digital market platforms to incentivise coordination between owners of these resources , and integrate their flexibility into the operation of the power system. This brings together advances from distributed control, optimisation, machine learning and power systems engineering. He also collaborates with economists and social scientists to integrate game theory and behavioural modelling into his research.

Current Projects:

A Networked Market Platform for Electric Vehicle Smart Charging

The aim of this project is to answer a key research question for power systems engineering: “As the UK and other countries move towards transport electrification, how can we incentivise coordination between millions of electric vehicle owners and successfully integrate them into power system operations?” The project builds on networked matching markets as a new mathematical framework for scalable peer-to-peer energy trading. A networked market platform will be designed, which can incentivise aggregate and localised coordination between owners of electric vehicles, renewable generators and distribution network operators responsible for managing local power flows and voltage limits.

EnergyREV - Market Design for Scaling Up Local Clean Energy Systems

The aim of this project is to investigate how system-level energy markets could be adjusted to facilitate the successful scale up of local energy market platforms to the national level. The project will develop new negotiation mechanisms to enable coordination between interconnected local energy markets (operating in parallel at different time scales and physical scales). New mechanisms for pricing externalities (e.g. network congestion, air pollution) will be developed which can be integrated into local markets for peer-to-peer energy trading and distribution system flexibility. The project is part of the multi-institution interdisciplinary Energy Revolution Research Consortium.

OPEN: An Open-Source Software Platform for Smart Local Energy Systems

The Open Platform for Energy Networks (OPEN) is an open-source software platform for integrated modelling, control and simulation of smart local energy systems. OPEN combines features for managing smart local energy systems which are not provided together by existing energy management tools, including multi-phase distribution network power flow, energy market modelling, nonlinear energy storage modelling and receding horizon optimisation. The code and documentation are free to download and use.


  • Power system modelling and control
  • Electricity market design
  • Peer-to-peer energy trading
  • Electric vehicle smart charging
  • Microgrid control

Further Information: 

If you are interested in pursuing a PhD in one of my areas of research interest, please get in touch by email (thomas.morstyn@ed.ac.uk).