A Dual Deep Neural Network Approach for Discriminating Internal Faults and Inrush Currents in Transformers Under CT Saturation

The dependability and security of transformer differential protection can be compromised by current transformer (CT) saturation, which distorts current measurements and may lead to the maloperation of protective relays. This paper proposes a dual deep neural network (dual-DNN) approach to accurately...

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Главные авторы:	Sopheap Key, Soupheng Leap, Seong-Min Yoon, Heungseok Lee, Soon-Ryul Nam
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2025-01-01
Серии:	IEEE Access
Предметы:	Current transformer saturation differential protection dual deep neural network inrush current internal fault power transformer
Online-ссылка:	https://ieeexplore.ieee.org/document/11196902/
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