A hardware-in-the-loop setup running annealer-based power flow and optimal power flow on RTDS matches Newton-Raphson benchmarks on a renewable-integrated nine-bus grid, with OPF solved only by Fujitsu's digital annealer.
Quantum Algorithms for Optimal Power Flow
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
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.
citation-role summary
background 1
citation-polarity summary
fields
eess.SY 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
Quantum Hardware-in-the-Loop for Optimal Power Flow in Renewable-Integrated Power Systems
A hardware-in-the-loop setup running annealer-based power flow and optimal power flow on RTDS matches Newton-Raphson benchmarks on a renewable-integrated nine-bus grid, with OPF solved only by Fujitsu's digital annealer.