引用本文:方嘉豪,宋晨曦,赵昱宣,彭孟濠,荆朝霞.考虑异构无人机动态调度的配电网恢复策略[J].电力自动化设备,2026,46(1):107-115
FANG Jiahao,SONG Chenxi,ZHAO Yuxuan,PENG Menghao,JING Zhaoxia.Restoration strategy for distribution network considering dynamic scheduling of heterogeneous unmanned aerial vehicles[J].Electric Power Automation Equipment,2026,46(1):107-115
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考虑异构无人机动态调度的配电网恢复策略
方嘉豪, 宋晨曦, 赵昱宣, 彭孟濠, 荆朝霞
华南理工大学 电力学院,广东 广州 510641
摘要:
配电网发生停电事故后,充分利用电力和通信资源的协同调度对配电网快速恢复至关重要。为提升灾后恢复效率,提出考虑异构无人机动态调度的配电网恢复策略,实现配电网态势感知、故障定位、故障清除和负荷恢复多过程的协同优化。建立融合基站与巡检2类无人机参与的恢复框架,分析其通信系统构建原理,提出信息与任务驱动的协同决策架构,实现异构无人机与维修队的动态调度。以系统总恢复成本最小为目标,综合考虑应急通信点选址、异构无人机与维修队路径规划及配电网动态恢复建模,构建配电网恢复混合整数规划模型。基于改进的IEEE 123节点配电系统进行仿真分析,结果表明,所提策略能够充分发挥异构无人机优势,实现配电网恢复过程的多环节协同优化,加速灾害恢复进程。
关键词:  异构无人机  维修队  动态调度  移动资源  配电网恢复
DOI:10.16081/j.epae.202509006
分类号:TM73
基金项目:广州市科技计划项目(2024A04J3440)
Restoration strategy for distribution network considering dynamic scheduling of heterogeneous unmanned aerial vehicles
FANG Jiahao, SONG Chenxi, ZHAO Yuxuan, PENG Menghao, JING Zhaoxia
School of Electric Power Engineering, South China University of Technology, Guangzhou 510641, China
Abstract:
After a power outage in the distribution network, fully leveraging the coordinated scheduling of power and communication resources is crucial for rapid restoration of distribution network. To enhance post-disaster recovery efficiency, a restoration strategy for distribution network considering the dynamic scheduling of heterogeneous unmanned aerial vehicles(UAVs) is proposed to achieve multi-stage coordinated optimization of situation awareness, fault location, fault clearance and load restoration. The restoration framework integrating the participation of base station UAVs and inspection UAVs is established, the design principle of the communication system is analyzed, and an information-and task-driven collaborative decision-making architecture is introduced to enable dynamic scheduling of UAVs and repair crews. With the objective of minimizing the total system restoration cost, the method jointly considers the location of emergency communication nodes, routing planning of heterogeneous UAVs and repair crews, and dynamic restoration modeling of the distribution network, and formulates a mixed-integer programming model for the distribution network restoration. The simulation analysis is carried out based on a modified IEEE 123-node distribution system. The results demonstrate that the proposed strategy can give full play to the advantages of heterogeneous UAVs, achieve coordinated optimization across multiple restoration stages, and significantly accelerate disaster restoration process.
Key words:  heterogeneous UAVs  repair crews  dynamic scheduling  mobile resources  distribution network restoration

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