Automatic identification of faults in power systems using neural network technique

被引：0

作者：

Ziolkowski, Valmir ^{[1
]}

da Silva, Ivan N. ^{[2
]}

Flauzino, Rogerio A. ^{[2
]}

机构：

[1] ELEKTRO Elect Co, Rua Ary Antenor de Souza 321, BR-13053024 Campinas, SP, Brazil

[2] Univ Sao Paulo, Dept Elect Engn, USP, EESC SEL, BR-13566590 Sao Carlos, SP, Brazil

来源：

PROCEEDINGS OF THE 2007 IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1-3 | 2007年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process of faults in electric power distribution systems. The developed techniques to treat the proposed problem have used, in an integrated way, several approaches that can contribute to the successful detection process of faults, aiming that it is carried out in a reliable and safe way. The compilations of the results obtained from practical experiments accomplished in a pilot radial distribution feeder have demonstrated that the developed techniques provide accurate results, identifying and classifying efficiently the several occurrences of faults observed in the feeder.

引用

页码：1546 / +

页数：3

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