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2013 (Vol. 5, Issue: 04)
Article Information:

Researching on Distribution Network Fault Location System

Yan Li, Yu Guo and Dening Zhang
Corresponding Author:  Yan Li 

Key words:  Distribution network, fault complain information, fault location, non-supervise area, rough set, WEBGIS,
Vol. 5 , (04): 1113-1117
Submitted Accepted Published
May 01, 2012 August 15, 2012 February 01, 2013

In this study, we propose the method using rough set theory to realize the distribution network fault positioning in WEBGIS environment. According to the distribution network tree structure, using of the area user sí fault complain information as condition attributes, fault elements as decision attribute, form the decision table automatically. By using rough set method reduce the decision table, the minimal reduction of decision table for fault diagnosis is derived, the minimal diagnostic rules are obtained, guarantee the objectivity of the rule. When the fault complain call information is imperfect, it can still achieve rapid, accurate fault location on purpose, has good fault tolerance performance. In this study the use of C# language programming to achieve the reduction process for distribution network fault diagnosis decision table, combined with the WEBGIS platform, make full use of internal network database resources, to realize fault diagnosis simple and rapid operation and fault location visualization. The results show that the method is feasible and effective.
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  Cite this Reference:
Yan Li, Yu Guo and Dening Zhang, 2013. Researching on Distribution Network Fault Location System.  Research Journal of Applied Sciences, Engineering and Technology, 5(04): 1113-1117.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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