Dr Thomas Morstyn

Lecturer in Power Electronics and Smart Grids



1.191 Fleeming Jenkin

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


I am a Lecturer in Power Electronics and Smart Grids with the School of Engineering at the University of Edinburgh. I am PI of the EPSRC project "Blockchain Transactions in the Electricity Industry: Beyond Tokenized Energy", Co-I of "Data-driven exploration of the carbon emissions impact of grid energy storage deployment and dispatch" and Co-I and co-lead of "EnergyREV - Market Design for Scaling Up Local Clean Energy Systems".

I 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 my PhD, I spent two years working in Rio Tinto’s Technology and Innovation Group. After completing my PhD I spent four years as a research fellow with the Energy and Power Group at the University of Oxford.

My research interests include the design of control systems and markets for the large-scale integration of 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.

Professional Qualifications and Memberships: 

  • Senior Member, IEEE
  • Associate Editor, IEEE Transactions on Power Systems


Research Interests: 

Energy Systems Architecture and Coordination

Energy 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. I lead a research group which focuses on the design of control systems and markets which can manage this transition by integrating distributed flexibility at scale into energy system operation and design. This brings together advances from distributed control, optimisation, machine learning and power systems engineering. We collaborate with economists, computer scientists and social scientists to integrate game theory and behavioural modelling into our research.



  • The Open Platform for Energy Networks (OPEN) is an open-source software platform for integrated modelling, control and simulation of smart local energy systems: 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 and vehicle-to-grid
  • 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).