Towards optimization under uncertainty for fundamental models in energy markets using quantum computers

Understand

We present a method to formulate the unit commitment problem in energy production as quadratic unconstrained binary optimization (QUBO) problem, which can be solved by classical algorithms and quantum computers.

• We suggest a first approach to consider uncertainties in the renewable energy supply, power demand and machine failures.
• We show how to find cost-saving solutions of the UCP under these uncertainties on quantum computers.
• We also conduct a study with different problem sizes and we compare results of simulated annealing with results from quantum annealing machines.