ANN Stabilization of Negative-Sequence Integral Protection of Power Transformers for Turn-to-Turn Winding Faults

被引：0
|
作者：
Solak, Krzysztof [1 ]
Rebizant, Waldemar [1 ]
Mieske, Frank [2 ]
Boehme, Klaus [2 ]
机构：
[1] Wroclaw Univ Sci & Technol, Fac Elect Engn, Wroclaw, Poland
[2] Siemens AG, Berlin, Germany
来源：
2024 24TH INTERNATIONAL SCIENTIFIC CONFERENCE ON ELECTRIC POWER ENGINEERING, EPE 2024 | 2024年
关键词：
transformer protection; turn-to-turn faults (TTFs); artificial neural network (ANN); transient analysis; stabilization;
D O I：
10.1109/EPE61521.2024.10559578
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：
The negative-sequence differential current integral principle supplemented with appropriate asymmetry indices is a very sensitive technique for detecting turn-to-turn faults (TTFs) in transformer windings. In this paper, an ANN-based stabilization function for such a protection scheme is introduced. The developed technique offers effective stabilization during transformer energization and recovery inrush after fault clearing, preserving the required sensitivity for TTFs.
引用
收藏
页码：300 / 305
页数：6
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