Comparison of the results of the three cases.

For the fault recovery and emergency repair after multiple faults in the distribution network, this paper proposes a fault distribution network recovery strategy considering the collaborative optimization of recovery and emergency repair. Initially, due to the difference and uncertainty between the system load demand and the distributed generation (DG) output, a bilayer dynamic fault recovery with phase type in time scale was constructed. The upper layer considers the recovery of the distribution network during faults, optimizing network reconfiguration schemes using DG outputs predicted by deep stochastic configuration network in conjunction with time-varying load demands. The lower considers the economic effect of the loss during repair and determines the optimal fault repair sequence. Furthermore, an enhanced Nutcracker Optimization algorithm to solve the bilayer model was proposed, determining the dynamic combination of the fault reconfiguration scheme and the repair sequence. Finally, to validate this strategy, this paper conducted simulations using the IEEE 33-node system. The experimental results under multiple strategies show the feasibility and effectiveness of this paper strategy, which ensures the effective recovery of fault nodes after power failure.

针对配电网多故障后的故障恢复与应急抢修问题，本文提出一种兼顾恢复与抢修协同优化的配电网故障恢复策略。首先，鉴于系统负荷需求与分布式电源（Distributed Generation, DG）出力之间的差异与不确定性，本文构建了时间尺度上分阶段的双层动态故障恢复模型。上层针对故障期间的配电网恢复问题，结合时变负荷需求，采用深度随机配置网络（Deep Stochastic Configuration Network）预测的分布式电源出力，优化网络重构方案；下层则以抢修过程中的损耗经济性为优化目标，确定最优故障抢修顺序。此外，本文提出一种改进型胡桃优化算法（Nutcracker Optimization）用于求解该双层模型，以此确定故障重构方案与抢修顺序的动态组合。最后，为验证所提策略的有效性，本文采用IEEE 33节点系统开展仿真实验。多策略对比下的实验结果表明，本文所提策略具备可行性与有效性，可保障故障节点在停电后实现有效恢复。