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Transformer protection using the wavelet transform

Date

2005

Author

Özgönenel O.
Önbilgin G.
Kocaman Ç.

Metadata

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Abstract

This paper introduces a novel approach for power transformer protection algorithm. Power system signals such as current and voltage have traditionally been analysed by the Fast Fourier Transform. This paper aims to prove that the Wavelet Transform is a reliable and computationally efficient tool for distinguishing between the inrush currents and fault currents. The simulated results presented clearly show that the proposed technique for power transformer protection facilitates the accurate discrimination between magnetizing inrush and fault currents in transformer protection. © TÜBİTAK.

Source

Turkish Journal of Electrical Engineering and Computer Sciences

Volume

13

Issue

1

URI

https://hdl.handle.net/20.500.12712/3616

Collections

  • Scopus İndeksli Yayınlar Koleksiyonu [14046]
  • TR-Dizin İndeksli Yayınlar Koleksiyonu [4706]

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  • Discrimination of Magnetizing Inrush and Internal Fault Currents Based on Stockwell Transform and ANN Approach for Transformer Protection 

    Ozgonenel O.; Terzi U.K.; Akar O.; Kurt U. (Institute of Electrical and Electronics Engineers Inc., 2019)
    In this study, Stockwell transform and artificial neural network were used in determining the inrush current and the internal current fault based on the power transformer protection. The S-transform is a robust transform ...
  • Wavelet Transform Based Differential Protection Algorithm for Power Transformer 

    Ertan, Merve; Ozgonenel, Okan (Ieee, 2016)
    Protection of power transformers take part in transmission and distribution lines is an important issue. For the reason, there are many studies which improve various methods on the subject. Among the methods, differential ...
  • A Novel Transformer Protection Method Based on Hilbert Huang Transform and Artificial Neural Network 

    Ozgonenel, Okan; Karagol, Serap (Ieee, 2013)
    This paper presents the application of Hilbert-Huang Transform (HHT) and artificial neural network (ANN) for fault detection on transformers. The combined procedure, Emprical mode decomposition (EMD) and Hilbert transform, ...



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