Sympathetic Inrush Phenomenon on Power Transformers and Fault Identification Using Artificial Neural Networks

被引：0

作者：

Sengul, M. ^{[1
]}

Ozturk, S. ^{[2
]}

Alboyaci, B. ^{[2
]}

机构：

[1] Kocaeli Univ, Civil Aviat Coll, Elect & Elect Dept, Kocaeli, Turkey

[2] Kocaeli Univ, Fac Engn, Dept Elect Engn, Kocaeli, Turkey

来源：

INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE | 2009年 / 4卷 / 05期

关键词：

Power Transformer; Sympathetic Inrush; Fault Identification; Artificial Neural Network;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The transformer already connected to power system can experience saturation during the inrush transient of an incoming transformer. In the case of parallel energization, transformer can produce false differential currents that could cause relay mis-operation. In this paper sympathetic inrush phenomenon between transformers is analyzed using SIMPOW-STRI power system simulation program and laboratory transformers and a differential algorithm that is based on Artificial Neural Network (ANN) is proposed. Proposed network was trained using back-propagation algorithm. It is seen that the network is able to discriminate no-fault examples including sympathetic inrush condition from fault examples with high accuracy. Copyright (C) 2009 Praise Worthy Prize S.r.l. - All rights reserved.

引用

页码：1069 / 1075

页数：7

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