DocumentCode :
2604277
Title :
Study of fault location by algorithm of rough sets for distribution network
Author :
Xu, Tongyu ; Cao, Yingli ; Zheng, Wei
Author_Institution :
Sch. of Inf. & Electr. Eng., Shenyang Agric. Univ., Shenyang, China
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
4
Abstract :
A new algorithm for Web GIS fault location in distribution network is presented by using the trouble calling information in this paper. Through deeply study of rough set theory, the algorithm is considered the topology characteristics of the distribution network which have the large-scale and multi-line equipment. Based on the methods of identification matrix attribute reduction and improved value reduction, the algorithm simplifies the decision table which based on the distribution network topology, removes the inherent redundancy in the complaint information and synthesizes new minimum fault diagnosis expert decision library. In this method the trivial calculation is not necessary. The time for fault location and isolation can be greatly shortened. While the information of trouble calling is not imperfect, the fault location can still be finished quickly and accurately. Because of the good fault tolerant performance the method ensures the objectivity of the fault diagnosis rules. Simulation results and applications show that the method is simple, feasible and effective.
Keywords :
Internet; decision tables; fault location; fault tolerance; geographic information systems; power distribution faults; power engineering computing; rough set theory; Web GIS fault location; decision table; distribution network topology; expert decision library; fault location; fault tolerant performance; matrix attribute reduction identification; redundancy; rough set theory; trouble calling information; Fault diagnosis; Fault location; Geographic Information Systems; Large-scale systems; Libraries; Network synthesis; Network topology; Redundancy; Rough sets; Set theory; WebGIS; decision table; distribution network; fault location; rough set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5348263
Filename :
5348263
Link To Document :
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