A Quantum Approach for Tactical Capacity Management of Distributed Electricity Generation
conference paper
Matching electricity demand and supply by decentralised
generators will be very important in the near future, where more and
more electricity has to be produced sustainably. Optimisation problems
that address this problem often have quadratic objective functions or
constraints, due to the quadratic nature of energy loss. Where classical
solvers struggle with quadratic, often integer or binary, optimisation
problems, quantum computing (inspired) solvers are well equipped for
this kind of problems. In this paper, we present such an optimisation
problem and the performance of the quantum annealer in solving this
problem, in comparison with classical methods and commercial solvers.
We show that the hybrid, quantum-classical, solvers provided by D-Wave
can outperform classical solvers despite the small-scale of the available
quantum hardware.
generators will be very important in the near future, where more and
more electricity has to be produced sustainably. Optimisation problems
that address this problem often have quadratic objective functions or
constraints, due to the quadratic nature of energy loss. Where classical
solvers struggle with quadratic, often integer or binary, optimisation
problems, quantum computing (inspired) solvers are well equipped for
this kind of problems. In this paper, we present such an optimisation
problem and the performance of the quantum annealer in solving this
problem, in comparison with classical methods and commercial solvers.
We show that the hybrid, quantum-classical, solvers provided by D-Wave
can outperform classical solvers despite the small-scale of the available
quantum hardware.
Topics
TNO Identifier
970611
Source title
22th International Conference on Innovations for Community Services (I4CS), Delft
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