Enhancement of auxiliary overcurrent protection in transformers using novel feature extraction algorithms

Shyh-Jier Huang, Hsing Ho Wan

研究成果: Article同行評審

摘要

In this paper, a feature extraction approach embedded with wavelet computation is applied to enhance the auxiliary overcurrent protection, by which the transformer inrush current discriminating from internal fault can be achieved. This proposed method starts with a feature extraction of acquired differential current waveform following the execution of wavelet computation. Then, the extracted features are expressed as a group of quantitative turning points to serve as indicators for overcurrent recognition. It is found that by this way of design, the inrush current can be effectively discriminated from the fault current. To validate the effectiveness of the method, it was applied to various simulated scenarios as well as employed to inspect a 60âMVA, 161/23.9âkV transformer connected to a 161âkV power system in Taiwan. Test results help support the feasibility of the method for the application considered.

原文English
頁(從 - 到)1153-1162
頁數10
期刊European Transactions on Electrical Power
20
發行號8
DOIs
出版狀態Published - 2010 十一月 1

All Science Journal Classification (ASJC) codes

  • 能源工程與電力技術
  • 電氣與電子工程

指紋

深入研究「Enhancement of auxiliary overcurrent protection in transformers using novel feature extraction algorithms」主題。共同形成了獨特的指紋。

引用此