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Assessment of Discrimination Between Fault and Inrush Condition of Power Transformer by Radar Analysis and Wavelet Transform Based Kurtosis and Skewness Analysis

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Modelling and Simulation in Science, Technology and Engineering Mathematics (MS-17 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 749))

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Abstract

This paper deals with the assessment of discrimination between inrush and fault current of power transformer. This has been achieved by capturing primary current of power transformer and analyzed by Radar analysis, Continuous Wavelet Transform (CWT) and Discrete Wavelet Transform (DWT) based skewness, kurtosis, rms and mean value analysis. Different feature patterns have been observed in Radar analysis and CWT analysis of primary current of power transformer in different conditions. Different parameters have also been calculated after DWT decomposition of primary current of power transformer in different conditions from where inrush and fault condition of power transformer have been discriminated properly.

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References

  1. S.S. Sunil, Switchgear Protection and Power Systems: Theory, Practice and Solved Problems, 13th edn. (Khanna Publishers, Delhi, 2008)

    Google Scholar 

  2. C.L. Cheng, C.E. Lin, C.L. Huangand, J.C. Yeh, A simple model for transformer inrush current calculation and harmonic analysis. Electr. Power Syst. Res. 24(2), 153–163 (1992)

    Article  Google Scholar 

  3. X. Ma, J. Shi, A new method for discrimination between fault and magnetizing inrush current using HMM. Electr. Power Syst. Res. 56(1), 43–49 (2000). https://doi.org/10.1016/S0378-7796(00)00099-7

    Article  Google Scholar 

  4. A.K. Al-othman, K.M. El-naggar, A new digital dynamic algorithm for detection of magnetizing inrush current in transformers. Electr. Power Compon. Syst. 37, 355–372 (2009). https://doi.org/10.1080/15325000802548699. Taylor & Francis Group, LLC

    Article  Google Scholar 

  5. D.Q. Bi, X.A. Zhang, H.H. Yang, G.W. Yu, X.H. Wang, W.J. Wang, Correlation analysis of waveforms in nonsaturation zone-based method to identify the magnetizing inrush in transformer. IEEE Trans. Power Delivery 22(3), 1380–1385 (2007). https://doi.org/10.1109/ICPST.2006.321623

    Article  Google Scholar 

  6. A. Hosny, V.K. Sood, Transformer differential protection with phase angle difference based inrush restraint. Electr. Power Syst. Res. 115, 57–64 (2014). https://doi.org/10.1016/j.epsr.2014.03.027

    Article  Google Scholar 

  7. R.J.N. Alencara, U.H. Bezerrab, A.M.D. Ferreira, A method to identify inrush currents in power transformers protection based on the differential current gradient. Electr. Power Syst. Res. 111, 78–84 (2014)

    Article  Google Scholar 

  8. P.L. Mao, R.K. Aggarwal, A wavelet transform based decision making logic method for discrimination between internal faults and inrush currents in power transformers. Electr. Power Energy Syst. 22, 389–395 (2000). https://doi.org/10.1016/S0142-0615(00)00013-2

    Article  Google Scholar 

  9. A.A.H. Eldin, M.A. Refaey, A novel algorithm for discrimination between inrush current and internal faults in power transformer differential protection based on discrete wavelet transform. Electr. Power Syst. Res. 81, 19–24 (2010)

    Article  Google Scholar 

  10. M. Rasoulpoor, M. Banejad, A correlation based method for discrimination between inrush and short circuit currents in differential protection of power transformer using discrete wavelet transform: theory, simulation and experimental validation. Electr. Power Energy Syst. 51, 168–177 (2013)

    Article  Google Scholar 

  11. Z. Moravej, A.A. Abdoos, M.S. Pasand, Power transformer protection using improved S-transform. Electr. Power Compon. Syst. Taylor & Francis Group, LLC 39, 1151–1174 (2011)

    Article  Google Scholar 

  12. Z. Moravej, A.A. Abdoos, M.S. Pasand, A new approach based on S-transform for discrimination and classification of inrush current from internal fault currents using probabilistic neural network. Electr. Power Compon. Syst. Taylor & Francis Group, LLC 38, 1194–1210 (2010)

    Article  Google Scholar 

  13. A. Chatterjee, M. Maitra, S.K. Goswami, Classification of overcurrent and inrush current for power system reliability using Slantlet transform and artificial neural network. Expert Syst. Appl. 36, 2391–2399 (2009)

    Article  Google Scholar 

  14. M. Şengül, S. Öztürk, H.B. Çetinkaya, T. Erfidan, New phenemenon on power transformers and fault identification using artificial neural networks (Springer, Berlin, Heidelberg, 2006), pp. 767–776

    Google Scholar 

  15. P. Arboleya, G. Díaz, J. Gómez-Aleixandre, C. González-Morán, A solution to the dilemma inrush/fault in transformer differential relaying using MRA and Wavelets. Electr. Power Compon. Syst. Taylor & Francis Group, LLC 34, 285–301 (2007)

    Article  Google Scholar 

  16. G. Mokryani, P. Siano, A. Piccolo, Inrush current detection based on wavelet transform and probabilistic neural network, in SPEEDAM 2010, International Symposium on Power Electronics, Electrical Drives, Automation and Motion, pp. 62–67, 2010

    Google Scholar 

  17. F. Zhalefar, M.S. Pasand, A new fuzzy-logic-based extended blocking scheme for differential protection of power transformers. Electr. Power Compon. Syst. Taylor & Francis Group, LLC 38, 675–694 (2010)

    Article  Google Scholar 

  18. A. Esmaeilian, M. Mohseninezhad, M. Khanabadi, M. Doostizadeh, A novel technique to identify inrush current based on adaptive neuro fuzzy, 10th International Conference on Environment and Electrical Engineering (EEEIC), IEEE Xplore: 13 June 2011. https://doi.org/10.1109/eeeic.2011.5874743

  19. S. Chattopadhyay, M. Mitra, S. Sengupta, Harmonic analysis in a three-phase system using park transformation technique. Int. J. Model. Measur. Control General Phys. Electr. Appl., AMSE, Series–A, Modeling-A 80(3), 42–58 (2007)

    Google Scholar 

  20. S. Chattopadhyay, M. Mitra, S. Sengupta, Electric Power Quality, 1st edn. (Springer, Berlin, 2010). ISBN 978-94-007-0634-7

    Google Scholar 

  21. S. Chattopadhyay, M. Mitra, S. Sengupta, Area based approach for three phase power quality assessment in clarke plane. J. Electr. Syst. 4(3), 60–76 (2008). ISSN: 1112-5209

    Google Scholar 

  22. S. Chattopadhyay, S. Karmakar, M. Mitra, S. Sengupta, Assessment of crawling of an induction motor by stator current Concordia analysis. IET Electron. Lett. 48(14), 841–842 (2012)

    Article  Google Scholar 

  23. S. Chattopadhyay, M. Mitra, S. Sengupta, Area based approach in power quality assessment. Int. J. Power Manage. Electron. 2008, 6 (2008). ID-147359, ISSN: 16876679

    Article  Google Scholar 

  24. A. Chattopadhyaya, S. Banerjee, S. Chattopadhyay, Assessment of discrimination between inrush and fault current in a power transformer. Can. J. Technol. Innov. 1, 187–196 (2014)

    Google Scholar 

  25. MATLAB Software Version7.7 (MATLAB® 7.7)

    Google Scholar 

  26. The Wavelet Tutorial by Robi Polikar

    Google Scholar 

  27. A. Chattopadhyaya, S. Chattopadhyay, J.N. Bera, S. Sengupta, Wavelet decomposition based skewness and kurtosis analysis for assessment of stator current harmonics in a PWM—fed induction motor drive in single phasing condition. AMSE J. 2016-Series: Adv. B 59(1), 1–14 (2016)

    Google Scholar 

  28. Engineering Statistics Handbook, in NIST/SEMATECH e-Handbook of Statistical Methods, NIST. Retrieved 18 Mar 2012

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, SKFGI, MAKAUT, Kolkata, West Bengal, India

    Sushil Paul, Shantanu Kr Das & Aveek Chattopadhyaya

  2. Electrical Engineering Department, Ghani Khan Chaoudhury Institute of Engineering and Technology (Under Ministry of HRD, Government of India), Malda, West Bengal, India

    Surajit Chattopadhyay

Authors
  1. Sushil Paul
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  2. Shantanu Kr Das
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  3. Aveek Chattopadhyaya
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  4. Surajit Chattopadhyay
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Corresponding author

Correspondence to Sushil Paul .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Ghani Khan Choudhury Institute of Engineering and Technology, Malda, West Bengal, India

    Surajit Chattopadhyay

  2. Department of Electrical Engineering, MCKV Institute of Engineering, Howrah, West Bengal, India

    Tamal Roy

  3. University of Calcutta, Kolkata, West Bengal, India

    Samarjit Sengupta

  4. University of Lyon, Lyon, France

    Christian Berger-Vachon

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Paul, S., Das, S.K., Chattopadhyaya, A., Chattopadhyay, S. (2019). Assessment of Discrimination Between Fault and Inrush Condition of Power Transformer by Radar Analysis and Wavelet Transform Based Kurtosis and Skewness Analysis. In: Chattopadhyay, S., Roy, T., Sengupta, S., Berger-Vachon, C. (eds) Modelling and Simulation in Science, Technology and Engineering Mathematics. MS-17 2017. Advances in Intelligent Systems and Computing, vol 749. Springer, Cham. https://doi.org/10.1007/978-3-319-74808-5_17

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  • DOI: https://doi.org/10.1007/978-3-319-74808-5_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74807-8

  • Online ISBN: 978-3-319-74808-5

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