A novel wavelet transform aided neural network based transmission line fault analysis method

被引：91

作者：

Bhowmik, P. S. ^{[2
]}

Purkait, P. ^{[1
]}

Bhattacharya, K. ^{[3
]}

机构：

[1] Haldia Inst Technol, Dept Elect Engn, Midnapore E 721657, W Bengal, India

[2] Natl Inst Technol, Dept Elect Engn, Durgapur 713209, W Bengal, India

[3] Jadavpur Univ, Dept Elect Engn, Kolkata 700032, W Bengal, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2009年 / 31卷 / 05期

关键词：

Discrete wavelet transform; Fast Fourier transform; Neural network; Power system faults; EXPERT-SYSTEM; LOCATION; RECOGNITION;

D O I：

10.1016/j.ijepes.2009.01.005

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

In the present scenario of market driven business, power supply has become more like a commodity. Reliable and quality power need to be ensured to meet customer requirements. In such a situation, it is extremely important that transmission line faults be identified accurately, reliably and in quick time. Advanced signal processing tools such as discrete wavelet transform (DWT) can be used very effectively for parameterisation and characterization of the fault signals. On the other hand, properly configured neural network (NN) can be utilized for classification of the faults based on the DWT signal, The present contribution uses electromagnetic transient program (EMTP) for modeling of a real transmission system and MATLAB for DWT and NN. Various types of faults have been simulated at different locations along the transmission line and an attempt has been made to correctly identify and locate the fault. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：213 / 219

页数：7

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