Identification of inrush currents in power transformers based on higher-order statistics

被引：36
|
作者：
Zhang, L. L. [1 ]
Wu, Q. H. [1 ,2 ]
Ji, T. Y. [1 ]
Zhang, A. Q. [1 ]
机构：
[1] South China Univ Technol, Sch Elect Power Engn, Guangzhou 510641, Guangdong, Peoples R China
[2] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 2017年 / 146卷
基金：
中国博士后科学基金;
关键词：
Higher-order statistics; Power transformer; Differential protection; Magnetizing inrush; Internal fault; MAGNETIZING INRUSH; INTERNAL FAULTS; DIFFERENTIAL PROTECTION; WAVELET TRANSFORM; DISCRIMINATION; SCHEME; RESTRAINT;
D O I：
10.1016/j.epsr.2017.01.029
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a novel method based on higher-order statistics for discrimination between magnetizing inrush and internal fault in power transformers. The distribution characteristics of the sample points of differential currents, under various operation conditions, are firstly investigated and quantified using higher-order statistics. Based on these characteristics, three kurtosis-based indices are defined for distinguishing inrush current from internal fault current. The final discrimination criterion combines these three indices to improve the performance of inrush current identification. Extensive simulation studies and experimental tests verify the effectiveness of the proposed method and its advantages over the conventional second harmonic restraint method. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：161 / 169
页数：9
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