考虑无人机恢复临时通信的有源配电网故障恢复策略

唐佳杰; 袁松; 李典; 周荣; 梅家葆

doi:10.11930/j.issn.1004-9649.202510004

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考虑无人机恢复临时通信的有源配电网故障恢复策略

有源配电网安全高效运行与协同调控关键技术 | 更新时间：2026-08-04

- 考虑无人机恢复临时通信的有源配电网故障恢复策略
- Consider the fault recovery strategy of active distribution network for UAV recovery of temporary communication
- 中国电力 2026年59卷第5期页码：57-66
- 作者机构：
  
  国网江苏省电力有限公司南通供电分公司,江苏,南通,226200
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（52307109）;国网南通供电公司新型电力系统研究专项项目（SGJSNT00DKJS2501561）。
- DOI：10.11930/j.issn.1004-9649.202510004
  中图分类号：
- 网络首发：2026-05-15，
  
  纸质出版：2026
- 稿件说明：
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唐佳杰, 袁松, 李典, 周荣, 梅家葆. 考虑无人机恢复临时通信的有源配电网故障恢复策略[J]. 中国电力, 2026, 59(5): 57-66.

TANG Jiajie, YUAN Song, LI Dian, et al. Consider the fault recovery strategy of active distribution network for UAV recovery of temporary communication[J]. 2026, 59(5): 57-66.
唐佳杰, 袁松, 李典, 周荣, 梅家葆. 考虑无人机恢复临时通信的有源配电网故障恢复策略[J]. 中国电力, 2026, 59(5): 57-66. DOI： 10.11930/j.issn.1004-9649.202510004.

TANG Jiajie, YUAN Song, LI Dian, et al. Consider the fault recovery strategy of active distribution network for UAV recovery of temporary communication[J]. 2026, 59(5): 57-66. DOI： 10.11930/j.issn.1004-9649.202510004.

摘要

针对因通信中断导致故障恢复延迟的大范围信息盲区负荷恢复难题，提出一种考虑无人机（unmanned aerial vehicle，UAV）恢复临时通信的有源配电网故障恢复策略。首先在有限无人机资源约束下，构建以最大化盲区高优先级负荷覆盖为目标的通信网络快速恢复模型，优化确定无人机最佳部署位置及各盲区所需应急通信设备的配置方案。在此基础上，通过协调区域内的可调度资源，同步实施孤岛划分与网络拓扑重构，实现无人机部署方案与抢修调度的协同优化，从而最大化故障负荷恢复量。最后，通过仿真实验结果验证所提故障恢复策略的有效性和优越性，相比于人工进行通信网络检修的故障恢复策略，所提策略失电负荷完全恢复时间缩短了60%。

Abstract

Aiming at the problem of large-scale information blind spot load recovery caused by communication interruption

an active distribution network fault recovery strategy considering the temporary communication restoration of unmanned aerial vehicle (UAV) is proposed. Firstly

under the constraint of limited UAV resources

a rapid recovery model of the communication network with the goal of maximizing the high-priority load coverage of the blind zone is constructed

and the optimal deployment location of the UAV and the configuration scheme of emergency communication equipment required in each blind area are optimized. On this basis

by coordinating the dispatchable resources in the region

the isolated island division and network topology reconstruction are implemented simultaneously to realize the collaborative optimization of UAV deployment scheme and emergency repair scheduling

so as to maximize the amount of fault load recovery. Finally

the effectiveness and superiority of the proposed fault recovery strategy are verified by simulation experiments

and the complete recovery time of the proposed policy is shortened by 60% compared with the fault recovery strategy of manual communication network maintenance.

关键词

Keywords

references

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