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DWT Based Fault Detection and Classification of HVDC Transmission Lines

  • Unique Paper ID: 165655
  • Volume: 11
  • Issue: 1
  • PageNo: 1635-1642
  • Abstract:
  • In this paper, wavelet analysis is used to examine the display and deviation of a typical association of HVDC structure. The wavelet technique is applied in a power system block set with MATLAB/SIMULINK to improve the performance of the HVDC system and provide a precise and reliable fault identification solution. In this study, we use Dabuchies and Symlet wavelets. In order to ensure optimal performance of these frameworks, it is often helpful to be able to quickly identify and address these frustrations. In comparison with fast Fourier transforms and short time interval Fourier transforms, the suggested wavelet-based approach achieves higher productivity.The suggested approach demonstrates how unique characteristics can be produced by monitoring solely the voltage and current of the air conditioner at the side that is being blamed in order to identify common frustrations. The results of our analysis of Symlet and Dabuchies wavelets in this paper indicate that Symlet is superior to Dabuchies wavelet.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 1
  • PageNo: 1635-1642

DWT Based Fault Detection and Classification of HVDC Transmission Lines

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UGC Approved
Journal no 47859

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