Discrete wavelet transform and probabilistic neural networks algorithm for identification of fault locations on transmission systems

被引：0

作者：

Ngaopitakkul, A ^{[1
]}

Kunakorn, A ^{[1
]}

Bunjongjit, S ^{[1
]}

机构：

[1] King Mongkuts Inst Technol Ladkrabang, Dept Elect Engn, Fac Engn, Bangkok 10520, Thailand

来源：

2004 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY - POWERCON, VOLS 1 AND 2 | 2004年

关键词：

ATP/EMTP; Discrete Wavelet Transform; fault; probabilistic neural network;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper proposes a new algorithm for detecting faults in an electric power transmission system. The Discrete Wavelet Transform (DWT) and probabilistic neural network (PNN) are used in order to detect the high frequency components and to identify fault locations on the transmission system. Simulations and the training process for the neural network are performed using ATP/EMTP and MATLAB. It is found that the proposed algorithm gives satisfactory results, and will be very useful in the development of a power system protection scheme.

引用

页码：270 / 274

页数：5

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