Fault diagnosis of rural power network based on gis platform and rough set

被引：0

作者：

Xie, Yunfang ^{[1
]}

Zhou, Yuhong ^{[1
]}

Shao, Limin ^{[1
]}

机构：

[1] College of Mechanical and Electrical Engineering, Agricultural University of Hebei, Baoding, Hebei, China

来源：

Metallurgical and Mining Industry | 2015年 / 7卷 / 10期

关键词：

Electric circuit breakers - Outages - Fault detection - Rough set theory - Electric fault currents - Electric power transmission networks - Electric network analysis - Electric power system protection - Learning algorithms;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

By analyzing the rural power network topology of GIS platform, to obtain a simplify structure of relay protection and circuit-breaker as key equipment, and then use rough set fault diagnosis algorithm designed rural power network fault diagnosis module based on GIS platform, for quickly determine the fault point position of rural power network, given troubleshooting solutions. The problem of spatial search speed bottleneck in GIS platform is solved by using the rough set fault diagnosis algorithm. The practical engineering application shows that the search speed and accuracy are improved. Combined with the existing 4G communication mode, the circuit-breaker states are quickly detected. Finally, the system automatically generates the operation order of the power network, which can guide the staffto quickly eliminate the fault, shorten the power outage time and improve the reliability of power supply.

引用

页码：167 / 171

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