Research Article | OPEN ACCESS
Researching on Distribution Network Fault Location System
1Yan Li, 1Yu Guo and 3Dening Zhang
1Department of Electrical Engineering, Hebei Engineering and Technical College, Cangzhou, Hebei, 06001, China
2Yongqing supply Co., Ltd., Langfang, Hebei, 065600, China
3Department of Mechanical and Electricity, Agriculture University of Hebei, Bao ding, Hebei, 071000, China
Research Journal of Applied Sciences, Engineering and Technology 2013 4:1113-1117
Received: May 01, 2012 | Accepted: August 15, 2012 | Published: February 01, 2013
Abstract
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 users’ 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.
Keywords:
Distribution network, fault complain information, fault location, non-supervise area, rough set, WEBGIS,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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