Application of Wavelet Transform in Discrimination of Internal Fault Current and Magnetizing Inrush Current of Power Transformer

Abstract

Transmission of the power is the major challenge as utilities located at the remote places, hence proper functioning of power transformer is to be maintained. Many times, transformer encounters with no-fault condition such as inrush current, which results in unwanted tripping of transformer. So, it is necessary to discriminate fault and nofault condition on transformer, so that unwanted tripping of circuit breaker can be avoided and uninterrupted service can be maintained. This paper, present a technique based on the Continuous Wavelet Transform (CWT) to differentiate among faulted and un-faulted condition on power transformer. Transformer modeling and simulation of faulty and healthy condition are carried out using MATLAB/Simulink software. By employing CWT, suitable features are extracted as the waveform resulted from the faulty condition, and healthy condition are different in nature, after first zero crossing of fault current and Inrush current.

Authors and Affiliations

Anil K. Agawani, Archana G. Thosar

Keywords

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  • EP ID EP240283
  • DOI -
  • Views 166
  • Downloads 0

How To Cite

Anil K. Agawani, Archana G. Thosar (2017). Application of Wavelet Transform in Discrimination of Internal Fault Current and Magnetizing Inrush Current of Power Transformer. International Journal of Electrical and Electronics Engineering Research (IJEEER), 7(4), 49-60. https://www.europub.co.uk/articles/-A-240283