Quantum Computing for Power System Optimisation

Power system optimisation problems, notoriously hard to solve, are becoming significantly more difficult as the electric grids expand and transition to renewables. Yet, optimisation is also one of the most promising areas of application for quantum computers. We are investigating  quantum annealing, gate-based quantum algorithms and quantum machine learning as new approaches which could yield solutions to power system problems. Our goal is to realize a practical quantum advantage in power system optimisation using present-day quantum computers and to explore future opportunities as quantum computers scale up.

Recent Publications

Mohseni, N., Morstyn, T., Meara, C.O., Bucher, D., Nüßlein, J. and Cortiana, G., 2024. A Competitive Showcase of Quantum versus Classical Algorithms in Energy Coalition Formation. arXiv preprint arXiv:2405.11917.

Morstyn, T. and Wang, X., 2024. Opportunities for quantum computing within net-zero power system optimization. Joule.

Morstyn, T., 2022. Annealing-based quantum computing for combinatorial optimal power flow. IEEE Transactions on Smart Grid, 14(2), pp.1093-1102.