Quantum-Inspired Resilient Restoration Approach Considering UAV-Assisted Fault Location and Network Reconfiguration

Post-disaster fault identification and network reconfiguration are particularly important for enhancing the resilience of power distribution system (PDS). In this paper, a two-step quantum-inspired approach is devised to resolve resilient restoration problem, in which the UAV-assisted fault location and network reconfiguration model are reformulated into a quantum-compatible form. Depending on the quantum-supported scales and characteristics, quantum approximate optimization algorithm (QAOA) and proposed quantum annealing-embedded alternating direction method of multipliers (QA-ADMM) algorithm are applied to obtain feasible solutions. With the utilization of IBM Qiskit and D-Wave Leap™ cloud platforms, the results verify the effectiveness of proposed approach by comparing with classical computing.