This paper proposes the use of annealing-based quantum computing for solving combinatorial optimal power flow problems. Quantum annealers provide a physical computing platform which utilises quantum phase transitions to solve specific classes of combinatorial problems. These devices have seen rapid increases in scale and performance, and are now approaching the point where they could be valuable for industrial applications. This paper shows how an optimal power flow problem incorporating linear multiphase network modelling, discrete sources of energy flexibility, renewable generation placement/sizing and network upgrade decisions can be formulated as a quadratic unconstrained binary optimisation problem, which can be solved by quantum annealing. Case studies with these components integrated with the IEEE European Low Voltage Test Feeder are implemented using D-Wave Systems’ 5,760 qubit Advantage quantum processing unit and hybrid quantum-classical solver.

中文翻译：

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基于退火的量子计算组合最优功率流


本文提出使用基于退火的量子计算来解决组合最优潮流问题。量子退火器提供了一个物理计算平台，利用量子相变来解决特定类别的组合问题。这些设备的规模和性能都在快速增长，现在已经接近对工业应用有价值的地步。本文展示了如何将包含线性多相网络建模、离散能源灵活性、可再生能源发电布局/规模和网络升级决策的最优潮流问题表述为二次无约束二元优化问题，并可以通过量子退火来解决。这些组件与 IEEE 欧洲低压测试馈线集成的案例研究是使用 D-Wave Systems 的 5,760 量子位 Advantage 量子处理单元和混合量子经典求解器来实现的。