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arXiv · 2301.01108

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

M. C. Braun·T. Decker·N. Hegemann·S. F. Kerstan·F. Lorenz
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Abstract

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.

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M. C. Braun, T. Decker, N. Hegemann, S. F. Kerstan, F. Lorenz. 2023-01-03. Towards optimization under uncertainty for fundamental models in energy markets using quantum computers. https://arxiv.org/abs/2301.01108

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