Generalized topology recovery method for fully blind cable distribution network based on edge disturbance analysis
SPECIAL COLUMN:SMART DISTRIBUTION SYSTEM|更新时间:2026-01-14
|
Generalized topology recovery method for fully blind cable distribution network based on edge disturbance analysis
“In the field of distribution networks, Chinese experts have proposed a generalized topology restoration method for fully blind cable distribution networks. Through edge disturbance analysis, the network topology structure, branch length, and cross-section can be fully restored in one go, providing a solution to the problem of fully blind network topology control.”
Electric Power Automation EquipmentVol. 46, Issue 1, Pages: 163-170(2026)
作者机构:
昆明理工大学 电力工程学院,云南 昆明 650500
作者简介:
基金信息:
the National Natural Science Foundation of China(52367008;52007079)
LI Lulu,ZHONG Yupeng,WANG Kaizheng,et al.Generalized topology recovery method for fully blind cable distribution network based on edge disturbance analysis[J].Electric Power Automation Equipment,2026,46(01):163-170.
LI Lulu,ZHONG Yupeng,WANG Kaizheng,et al.Generalized topology recovery method for fully blind cable distribution network based on edge disturbance analysis[J].Electric Power Automation Equipment,2026,46(01):163-170. DOI: 10.16081/j.epae.202511028.
Generalized topology recovery method for fully blind cable distribution network based on edge disturbance analysis
Optimized method for coordinated restoration of power distribution network and communication network considering whole process of fault restoration under extreme disasters
Post-disaster repair decision-making model of distribution network considering time-varying fault-repair time
Comprehensive treatment technology of low-voltage distribution network with large-scale distributed photovoltaic
Dynamic tracking of distribution network operation mode based on real-time measurement and sliding time window strategy
Load forecasting of distribution network based on learnable basis vector-based time-domain learning weighted iteration network
Related Author
DUAN Jingping
ZHAO Tianci
WU Hao
HOU Kai
ZHU Lewei
JIA Hongjie
ZHAO Yuhao
LI Changyun
Related Institution
State Key Laboratory of Smart Power Distribution Equipment and System,Tianjin University
State Grid Materials Co.,Ltd.
School of Electrical Engineering and Automation,Tianjin University of Technology
Tianjin Tianda Qiushi Electric Power High Technology Co.,Ltd.
College of Electrical Engineering and Automation,Shandong University of Science and Technology