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  Published Paper Details:

  Paper Title

FAULT DETECTION AND CLASSIFICATION DURING POWER SWING USING HHT AND SVM

  Authors

  Padmini Sharma,  R.N.Patel

  Keywords

HHT,EMD,SVM,SRM,ANN,PSCAD

  Abstract


To ensure reliability of the power system distance relay should be blocked during power swing. However, if any type of fault occurs during a power swing condition, it should be identify by the relay and generate the trip command to clear the fault as soon as possible. . Available fault detection technique may fail to response during power swing condition because already large variation is observed in voltage and current signal before the fault. Since the nature of power swing and three phase fault are symmetrical, it is more challenging to detect three phase fault during power swing. In this paper, a Hilbert Hanga Transform and support vector machine based fault detection and fault classification technique during power swing condition is proposed.HHT is used for feature extraction of current signal in various condition and SVM is used for classification purpose .The proposed method is tested for various fault and swing condition in WSCC nine-bus system simulated in PSCAD/EMTDC.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1803099

  Paper ID - 183902

  Page Number(s) - 1536-1556

  Pubished in - Volume 6 | Issue 1 | March 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Padmini Sharma,  R.N.Patel,   "FAULT DETECTION AND CLASSIFICATION DURING POWER SWING USING HHT AND SVM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.1536-1556, March 2018, Available at :http://www.ijcrt.org/papers/IJCRT1803099.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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