电力建设2025，Vol.46Issue(11)：99-109,11.DOI:10.12204/j.issn.1000-7229.2025.11.009
复杂故障场景下智能配电网快速抢修二阶段优化调度策略
Two-Stage Optimal Scheduling Strategy for Quick Repair of Intelligent Distribution Network Under Complex Fault Scenario
摘要
Abstract
[Objective]This study proposes a two-phase optimal scheduling strategy for the rapid repair of distribution grids that considers strong resource constraints to cope with the problems of heavy repair tasks,strong resource constraints,and low dispatch efficiency under complex fault scenarios of smart distribution grids in new power systems;to improve the emergency response speed to faults;and to reduce socioeconomic losses.[Methods]The first phase aims to rapidly restore power supply to non-failed areas,considering constraints such as the reconstruction of the distribution network in the power outage area and the availability of mobile emergency power generation vehicles.A distribution network rapid restoration repair model is constructed with the objective of minimizing the power outage duration.The second stage addresses the challenge of optimizing the scheduling of multiple repair tasks within a faulted area.An improved serial scheduling generation mechanism is designed,based primarily on the reliability level of the power supply.Furthermore,an improved moth-flame optimization(MFO)algorithm is employed to search for the optimal solution for the second-stage model,ensuring accuracy while improving the solution speed.[Results]Simulations based on a 44-node system indicated that nodes 3 and 12 in the first stage caused a loss of power to the primary loads with a significant weighted loss of the load.Priority allocation of emergency power generation vehicles was required.In the second stage,the improved MFO algorithm achieved an 18%increase in the convergence speed,a 14%reduction in the total repair time,0.7%reduction in economic losses,and superior algorithm stability compared with traditional methods.[Conclusions]The two-stage strategy significantly improved repair efficiency by coordinating resources and tasks in stages.The improved MFO algorithm performed efficiently in strong-constraint multi-objective optimization,providing new ideas for intelligent distribution network fault dispatching.The proposed optimized dispatching strategy has engineering application value.关键词
配电网抢修/大规模电源故障/抢修任务调度/多目标模型/飞蛾扑火优化(MFO)算法Key words
distribution network repair/large-scale power failure/scheduling of emergency repairs/multi-objective model/moth-flame optimization(MFO)algorithm分类
动力与电气工程引用本文复制引用
肖恩颂,蒋达飞,金雨含,孟静,刘淼,尹申,葛磊蛟..复杂故障场景下智能配电网快速抢修二阶段优化调度策略[J].电力建设,2025,46(11):99-109,11.基金项目
国家重点研发计划项目(2023YFF0905603) （2023YFF0905603）
国家自然科学基金项目(52277118)This work is supported by the National Key Research and Development Program of China(No.2023YFF0905603)and the National Natural Science Foundation of China(No.52277118). （52277118）
