Energy Storage Scheduling: A QUBO Formulation for Quantum Computing

Frank Phillipson*, Tariq Bontekoe, Irina Chiscop

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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.
Original languageEnglish
Title of host publicationInnovations for Community Services
Subtitle of host publication21st International Conference, I4CS 2021 Bamberg, Germany, May 26-28, 2021 Proceedings
EditorsUdo R. Krieger, Gerald Eichler, Christian Erfurth, Günter Fahrnberger
PublisherSpringer, Cham
Pages251-261
ISBN (Electronic)978-3-030-75004-6
ISBN (Print)978-3-030-75003-9
DOIs
Publication statusPublished - 2021
Externally publishedYes

Publication series

SeriesCommunications in Computer and Information Science
Volume1404
ISSN1865-0929

Keywords

  • quantum annealing
  • energy storage scheduling
  • home energy management

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