Title
Energy Storage Scheduling: a QUBO Formulation for Quantum Computing
Author
Phillipson, F.
Bontekoe, T.H.
Chiscop, I.
Publication year
2021
Abstract
Energy storage systems and home energy management and control systems will play an important role in reaching the Paris Agreement on climate change. Underlying scheduling mechanisms will lead to a computational burden when the size of the systems and the size of the control space increase. One, upcoming alternative to overcome this computational burden is quantum computing. Here a quantum computer is used to solve the scheduling problems. In this paper an approach of using the D-Wave quantum annealing to solve an energy storage scheduling problem is proposed and used to solve a small example. The example shows the potential that quantum computing can have in this area in the future.
Subject
Quantum annealing
Engergy storing schedule
Home energy management
To reference this document use:
http://resolver.tudelft.nl/uuid:74a703de-80b9-4848-9c40-431372fe2260
TNO identifier
953237
Source
21th International Conference on Innovations for Community Services (I4CS), Bamberg (Germany), 2021.
Document type
conference paper