Fault Classification in Transmission Systems using Wavelet Transform

被引：2

作者：

Avagaddi, Prasad ^{[1
]}

Edward, Belwin J. ^{[2
]}

机构：

[1] Sree Vidyanikethan Engn Coll, Dept Elect & Elect Engn, Appl Renewable Energy Res Lab, Tirupati 517102, Andhra Pradesh, India

[2] VIT Univ, Sch Elect Engn, Vellore 632014, Tamil Nadu, India

来源：

GAZI UNIVERSITY JOURNAL OF SCIENCE | 2019年 / 32卷 / 03期

关键词：

Fault; Fault classification; Fuzzy inference system; Wavelet transform; LOCATION;

D O I：

10.35378/gujs.393451

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Fault analysis is a prime apprehension in power system. This article elaborates an appropriate approach for detection of faults and wavelet technique is used for classification of faults in overhead lines. This method uses only measurements of post fault currents at single end of the line for fault analysis. To validate the efficacy of this method, simulations have been performed under various conditions of fault occurrence using MATLAB and the obtained outcomes are compared with fuzzy logic technique. The outcomes attained are promising and as well accuracy improved in classification.

引用

页码：884 / 893

页数：10

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