A Generalized Leakage Inductance-Based Method for Discrimination of Internal Faults from Inrush Currents

被引：0

作者：

Ma, Jing ^{[1
,2
]}

Wang, Tong ^{[3
]}

Wu, Jie ^{[4
]}

Wang, Zengping ^{[3
]}

机构：

[1] N China Elect Power Univ, Sch Elect & Elect Engn, Baoding, Hebei, Peoples R China

[2] Virginia Polytech Inst & State Univ, Dept Elect & Comp Engn, Blacksburg, VA 24061 USA

[3] N China Elect Power Univ, Control Minist Educ, Key Lab Power Syst Protect & Dynam Secur Monitori, Beijing 102206, Peoples R China

[4] State Nucl Elect Power Planning Design & Res Inst, Beijing 100094, Peoples R China

来源：

2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING | 2011年

基金：

美国国家科学基金会;

关键词：

generalized leakage inductance; inrush current; internal fault current; power transformer; POWER TRANSFORMER PROTECTION; ARTIFICIAL NEURAL-NETWORK; MAGNETIZING INRUSH; DIFFERENTIAL RELAY; IMPROVED OPERATION; WINDING FAULTS; FUZZY-LOGIC; ALGORITHM; IDENTIFICATION;

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：

A novel scheme based on generalized leakage inductance (GLI) to distinguish the inrush current from the internal fault current in the power transformer is proposed. By eliminating the mutual flux linkage in the transformer loop equation and adopting the trapezoid principle, the GLI is calculated in the real time. According to the difference between the GLI and the leakage inductance obtained from transformer manufacturer, the criterion to identify the internal fault is developed. A total of 162 experimental cases have been tested and the proposed method is able to reliably and accurately discriminate internal faults from inrush currents with easy implementation. Also, the method is suitable if it is not possible to measure the currents in the delta winding. Furthermore, the method is independent of the B-H curve and iron losses.

引用

页数：8

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