Quantum Algorithms for Optimal Power Flow
This paper explores the use of quantum computing, specifically the use of HHL and VQLS algorithms, to solve optimal power flow problem in electrical grids. We investigate the effectiveness of these quantum algorithms in comparison to classical methods. The simulation results presented here which substantially improve the results in [1] indicate that quantum approaches yield similar solutions and optimal costs compared to classical methods, suggesting the potential use case of quantum computing for power system optimization.
Authors
- Sajad Fathi Hafshejani (ORCID: https://orcid.org/0000-0002-5731-8234)
- Mesbah Uddin (ORCID: https://orcid.org/0000-0002-2945-6744)
- Daya Ram Gaur (ORCID: https://orcid.org/0000-0001-6876-6000)
- David A. Neufeld (ORCID: https://orcid.org/0000-0001-8341-1646)
- Robert Benkoczi
Institutions
- University of Lethbridge (CA)
Publication Details
- Published
- 2025-02-15
- DOI
- https://doi.org/10.1109/cpeee64598.2025.10987353
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Alliance de recherche numérique du Canada