Inrush Current Discrimination in Power Transformer Differential Protection Using Wavelet Packet Transform Based Technique

被引：0

作者：

Abbas, Muhammad Farasat ^{[1
]}

Liu Zhiyuan ^{[2
]}

Hao Zhiguo

Zhang Guanjun

机构：

[1] Xi An Jiao Tong Univ, Dept Sch Elect Engn, Xian, Peoples R China

[2] State Grid Ningxia Elect Power Co, Elect Power Res Inst, Yinchuan, Peoples R China

来源：

2016 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2016年

关键词：

Power transformer; Differential Protection; Wavelet Packet Transform; Inrush Current; Internal Fault Currents;

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：

In this paper wavelet packet transform based technique is implemented to discriminate the inrush current from internal fault currents of three phase 240 MY A, 345/38.5 KV star delta connected power transformer. The Daubechies (db4) mother wavelet with two number of level of resolution is found to be optimal in providing information to discriminate the inrush currents from internal fault currents of power transformer. Minimum description length (MDL) criteria is used to select the optimal mother wavelet and number of level of resolution. In this paper a model of three phase star-delta connected power transformer is built using PSCAD software to get the samples of differential currents. Wavelet packet transform with multi resolution analysis is implemented using MATLAB wavelet tool box on these samples for discrimination purpose. The results show this technique is very useful over many traditional techniques for the discrimination of inrush currents.

引用

页码：944 / 948

页数：5

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