Abstract
With the transition to sustainable energy sources and devices, the demand for and supply of energy increases ever more. With energy grids struggling to keep up with this increase, we need to ensure that supply and demand are correctly matched. The Tactical Capacity Problem tackles this issue by choosing the optimal location of sustainable power sources to minimise the total energy loss. We extend an existing quantum approach of solving this problem in two ways. Firstly, we extend the problem to include capacity constraints, resulting in the Constrained Tactical Capacity Problem. Secondly, we propose two ways of optimising the performance of the resulting model via variable reduction. These optimisations are supported by numerical results obtained on both classical and quantum solvers.
Original language | English |
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Title of host publication | Innovations for Community Services. I4CS 2023 |
Subtitle of host publication | Communications in Computer and Information Science |
Editors | Udo R. Krieger, Gerald Eichler, Christian Erfurth, Günter Fahrnberger |
Publisher | Springer, Cham |
Pages | 203-221 |
Number of pages | 19 |
ISBN (Electronic) | 978-3-031-40852-6 |
ISBN (Print) | 9783031408519 |
DOIs | |
Publication status | Published - 2023 |
Event | 23rd International Conference on Innovations for Community Services - Bamberg, Germany Duration: 11 Sept 2023 → 13 Sept 2023 https://easychair.org/cfp/I4CS-2023 |
Publication series
Series | Communications in Computer and Information Science |
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Volume | 1876 CCIS |
ISSN | 1865-0929 |
Conference
Conference | 23rd International Conference on Innovations for Community Services |
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Abbreviated title | I4CS 2023 |
Country/Territory | Germany |
City | Bamberg |
Period | 11/09/23 → 13/09/23 |
Internet address |
Keywords
- Distributed electricity generation
- Quantum annealing
- Quantum computing
- Tactical planning