NEURAL-NETWORK APPROACH TO FAULT CLASSIFICATION FOR HIGH-SPEED PROTECTIVE RELAYING

被引：161

作者：

DALSTEIN, T ^{[1
]}

KULICKE, B ^{[1
]}

机构：

[1] TECH UNIV BERLIN,DEPT HIGH VOLTAGE & POWER ENGN,BERLIN,GERMANY

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 1995年 / 10卷 / 02期

关键词：

POWER SYSTEMS; PROTECTION; RELAYING; FAULT CLASSIFICATION; ARCING; AUTOMATIC RECLOSING; ARTIFICIAL NEURAL NETWORKS;

D O I：

10.1109/61.400828

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：

This paper presents a new approach to fault classification for high speed protective relaying and show its effectiveness in computer simulations on parallel transmission lines. The scheme is based on the use of neural network architecture and implementation of digital signal processing concepts, We begin our exploration with classifying several fault types like 1-phase-to-ground, 2-phase-to-ground and 3-phase-to-ground faults. We proceed with classification of arcing and non-arcing faults in order to obtain a successful automatic reclosing. Encouraging results are shown and indicate that this approach can be used for supporting a new generation of very high speed protective relaying systems.

引用

页码：1002 / 1011

页数：10

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