Tu Naiwei, Shi Yibo, Hao Yuqiang
Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China.
PLoS One. 2025 Sep 3;20(9):e0331390. doi: 10.1371/journal.pone.0331390. eCollection 2025.
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.
针对配电网多重故障后的故障恢复与应急抢修,本文提出了一种考虑恢复与应急抢修协同优化的故障配电网恢复策略。首先,由于系统负荷需求与分布式电源(DG)输出之间存在差异和不确定性,构建了一种时间尺度上具有相位类型的双层动态故障恢复模型。上层考虑故障期间配电网的恢复,利用深度随机配置网络预测的DG输出结合时变负荷需求来优化网络重构方案。下层考虑抢修期间损失的经济影响,确定最优的故障抢修顺序。此外,提出了一种增强型胡桃夹子优化算法来求解双层模型,确定故障重构方案与抢修顺序的动态组合。最后,为验证该策略,本文使用IEEE 33节点系统进行了仿真。多种策略下的实验结果表明了本文策略的可行性和有效性,确保了停电后故障节点的有效恢复。