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
收藏
页码:167 / 171
相关论文
共 50 条
  • [21] A new approach for fault diagnosis in power systems based on Rough Set theory
    Zhang, Q
    Han, ZX
    Wen, FS
    FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN POWER SYSTEM CONTROL, OPERATION & MANAGEMENT, VOLS 1 AND 2, 1997, : 597 - 602
  • [22] Fault Diagnosis of Power Transformer Based on Association Rules Gained by Rough Set
    Zhou Ming
    Wang Taiyong
    2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 3, 2010, : 123 - 126
  • [23] Applied Research on Fault Diagnosis of Power Transformers Based on Rough Set Theory
    Liu, Yuzhi
    AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (03): : 2712 - 2715
  • [24] A fusion method of rough set and neural network for fault diagnosis
    Su, WJ
    Su, Y
    Xu, Y
    Zhao, H
    PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON MAGNETIC INDUSTRY (ISMI'04) & FIRST INTERNATIONAL SYMPOSIUM ON PHYSICS AND IT INDUSTRY (ISITI'04), 2005, : 310 - 311
  • [25] Application of Rough Set in the Construction of Optimized Fault Diagnosis Network
    Sun, Jie
    2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 2, 2012, : 138 - 141
  • [26] Application of rough set neural network system in fault diagnosis
    Hao, Lina
    Xu, Xinhe
    Kongzhi Lilun Yu Yinyong/Control Theory and Applications, 2001, 18 (05):
  • [27] A fault diagnosis method combined neural network with rough set
    Xu, Deyou
    2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4, 2006, : 1903 - 1905
  • [28] Hierarchical fault diagnosis for substation based on rough set
    Dong, HY
    Zhang, YB
    Xue, JY
    POWERCON 2002: INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS 1-4, PROCEEDINGS, 2002, : 2318 - 2321
  • [29] Substation fault diagnosis method based on rough set theory and neural network model
    Su, Hong-Sheng
    Li, Qun-Zhan
    Power System Technology, 2005, 29 (16) : 66 - 70
  • [30] Steam turbine fault diagnosis method based on rough set theory and Bayesian network
    Han, Pu
    Zhang, Deli
    Zhou, Lihui
    Jiao, Songming
    FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 1, PROCEEDINGS, 2007, : 419 - 422