Investigation into an artificial neural network based fault identification of HVDC converter

被引：0

作者：

Bawane, N ^{[1
]}

Kothari, AG ^{[1
]}

机构：

[1] Visvesvaraya Natl Inst Technol, Dept Elect Engn, Nagpur 440022, Maharashtra, India

来源：

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS | 2004年 / 13卷 / 04期

关键词：

HVDC converter; fault identification; artificial neural network;

D O I：

10.1142/S0218126604001726

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper explores the possibility of using neural network to identify faults that may occur in a HVDC converter system. Based on the ability of these networks to distinguish reliably between different types of faults, the feature can be suitably integrated with ANN based controller to improve the dynamic response of AC-DC power system. In this paper, different neural network architectures to distinguish different faults in HVDC converter are proposed, and comparison between them is made under different system perturbations and faults. The method is independent of the operating mode of the converter.

引用

页码：813 / 827

页数：15

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