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Fault Classification in Transmission Systems using Wavelet Transform

Yıl 2019, Cilt: 32 Sayı: 3, 884 - 893, 01.09.2019
https://doi.org/10.35378/gujs.393451

Öz

Fault analysis is a prime apprehension in power system. This article elaborates an appropriate approach for detection of faults and wavelet technique is used for classification of faults in overhead lines. This method uses only measurements of post fault currents at single end of the line for fault analysis. To validate the efficacy of this method, simulations have been performed under various conditions of fault occurrence using MATLAB and the obtained outcomes are compared with fuzzy logic technique. The outcomes attained are promising and as well accuracy improved in classification.

Kaynakça

  • Prasad A, Edward, JB, & Ravi K., “A review on fault classification methodologies in power transmission systems: Part-I”, Journal of Electrical Systems and Information Technology, article in press (https://doi.org/10.1016/j.jesit.2017.01.004), 1-13, (2017).
  • Prasad A, Edward, JB, & Ravi K., “A review on fault classification methodologies in power transmission systems: Part-II”, Journal of Electrical Systems and Information Technology, article in press (https://doi.org/10.1016/j.jesit.2016.10.003), 1-7, (2016).
  • Mahanty RN, Gupta DPB., “A fuzzy logic based fault classification approach using current samples only”, Electric Power Systems Research, 77(5-6): 501–507, (2007).
  • Samantaray SR., A systematic fuzzy rule based approach for fault classification in transmission lines. Applied Soft Computing, 13(2): 928-938, (2013).Adly, AR., El Sehiemy, RA., Abdelaziz, AY. and Ayad, NM., “Critical aspects on wavelet transforms based fault identification procedures in HV transmission line”, IET Generation, Transmission & Distribution, 10(2): 508-517, (2016).
  • Adly, AR., El Sehiemy, RA., Abdelaziz, AY. and Ayad, NM., “Critical aspects on wavelet transforms based fault identification procedures in HV transmission line”, IET Generation, Transmission & Distribution, 10(2): 508-517, (2016).
  • Guillen, D., Paternina, MRA., Zamora, A, Ramirez, JM. and Idarraga, G., “Detection and classification of faults in transmission lines using the maximum wavelet singular value and Euclidean norm”, IET Generation, Transmission & Distribution, 9(15): 2294-2302, (2015).
  • Pérez FE, Orduna E, Guidi G., “Adaptive wavelets applied to fault classification on transmission lines”, Generation, Transmission & Distribution, IET. 5(7):694-702, (2011).
  • He Z, Lin S, Deng Y, Li X, Qian Q., “A rough membership neural network approach for fault classification in transmission lines”, Electrical Power & Energy Systems, 61: 429-439, (2014).
  • Seyedtabaii S., “Improvement in the performance of neural network-based power transmission line fault classifiers”, IET generation, transmission & distribution, 6(8): 731-737, (2012).
  • Vasilic S, Kezunovic M., “Fuzzy ART neural network algorithm for classifying the power system faults”, IEEE Transactions on Power Delivery, 20(2): 1306-1314, 2005).
  • Silva KM, Souza BA, Brito NS., “Fault detection and classification in transmission lines based on wavelet transform and ANN”, IEEE Transactions on Power Delivery, 21(4): 2058-2063, (2006).
  • Youssef OA., “Combined fuzzy-logic wavelet-based fault classification technique for power system relaying”, IEEE Transactions on Power Delivery, 19(2): 582-589, 2004).
  • Jung CK, Kim KH, Lee JB, Klockl B., “Wavelet and neuro-fuzzy based fault location for combined transmission systems”, Electrical Power and Energy Systems, 29(6): 45–454, (2007).
  • Moravej, Z., Pazoki, M. and Khederzadeh, M., “New pattern-recognition method for Fault analysis in transmission line with UPFC”, IEEE Transactions on Power Delivery, 30(3): 1231-1242, (2015).
Yıl 2019, Cilt: 32 Sayı: 3, 884 - 893, 01.09.2019
https://doi.org/10.35378/gujs.393451

Öz

Kaynakça

  • Prasad A, Edward, JB, & Ravi K., “A review on fault classification methodologies in power transmission systems: Part-I”, Journal of Electrical Systems and Information Technology, article in press (https://doi.org/10.1016/j.jesit.2017.01.004), 1-13, (2017).
  • Prasad A, Edward, JB, & Ravi K., “A review on fault classification methodologies in power transmission systems: Part-II”, Journal of Electrical Systems and Information Technology, article in press (https://doi.org/10.1016/j.jesit.2016.10.003), 1-7, (2016).
  • Mahanty RN, Gupta DPB., “A fuzzy logic based fault classification approach using current samples only”, Electric Power Systems Research, 77(5-6): 501–507, (2007).
  • Samantaray SR., A systematic fuzzy rule based approach for fault classification in transmission lines. Applied Soft Computing, 13(2): 928-938, (2013).Adly, AR., El Sehiemy, RA., Abdelaziz, AY. and Ayad, NM., “Critical aspects on wavelet transforms based fault identification procedures in HV transmission line”, IET Generation, Transmission & Distribution, 10(2): 508-517, (2016).
  • Adly, AR., El Sehiemy, RA., Abdelaziz, AY. and Ayad, NM., “Critical aspects on wavelet transforms based fault identification procedures in HV transmission line”, IET Generation, Transmission & Distribution, 10(2): 508-517, (2016).
  • Guillen, D., Paternina, MRA., Zamora, A, Ramirez, JM. and Idarraga, G., “Detection and classification of faults in transmission lines using the maximum wavelet singular value and Euclidean norm”, IET Generation, Transmission & Distribution, 9(15): 2294-2302, (2015).
  • Pérez FE, Orduna E, Guidi G., “Adaptive wavelets applied to fault classification on transmission lines”, Generation, Transmission & Distribution, IET. 5(7):694-702, (2011).
  • He Z, Lin S, Deng Y, Li X, Qian Q., “A rough membership neural network approach for fault classification in transmission lines”, Electrical Power & Energy Systems, 61: 429-439, (2014).
  • Seyedtabaii S., “Improvement in the performance of neural network-based power transmission line fault classifiers”, IET generation, transmission & distribution, 6(8): 731-737, (2012).
  • Vasilic S, Kezunovic M., “Fuzzy ART neural network algorithm for classifying the power system faults”, IEEE Transactions on Power Delivery, 20(2): 1306-1314, 2005).
  • Silva KM, Souza BA, Brito NS., “Fault detection and classification in transmission lines based on wavelet transform and ANN”, IEEE Transactions on Power Delivery, 21(4): 2058-2063, (2006).
  • Youssef OA., “Combined fuzzy-logic wavelet-based fault classification technique for power system relaying”, IEEE Transactions on Power Delivery, 19(2): 582-589, 2004).
  • Jung CK, Kim KH, Lee JB, Klockl B., “Wavelet and neuro-fuzzy based fault location for combined transmission systems”, Electrical Power and Energy Systems, 29(6): 45–454, (2007).
  • Moravej, Z., Pazoki, M. and Khederzadeh, M., “New pattern-recognition method for Fault analysis in transmission line with UPFC”, IEEE Transactions on Power Delivery, 30(3): 1231-1242, (2015).
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Electrical & Electronics Engineering
Yazarlar

Prasad Avagaddı 0000-0002-3551-1017

Belwin Edward J Bu kişi benim

Yayımlanma Tarihi 1 Eylül 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 32 Sayı: 3

Kaynak Göster

APA Avagaddı, P., & Edward J, B. (2019). Fault Classification in Transmission Systems using Wavelet Transform. Gazi University Journal of Science, 32(3), 884-893. https://doi.org/10.35378/gujs.393451
AMA Avagaddı P, Edward J B. Fault Classification in Transmission Systems using Wavelet Transform. Gazi University Journal of Science. Eylül 2019;32(3):884-893. doi:10.35378/gujs.393451
Chicago Avagaddı, Prasad, ve Belwin Edward J. “Fault Classification in Transmission Systems Using Wavelet Transform”. Gazi University Journal of Science 32, sy. 3 (Eylül 2019): 884-93. https://doi.org/10.35378/gujs.393451.
EndNote Avagaddı P, Edward J B (01 Eylül 2019) Fault Classification in Transmission Systems using Wavelet Transform. Gazi University Journal of Science 32 3 884–893.
IEEE P. Avagaddı ve B. Edward J, “Fault Classification in Transmission Systems using Wavelet Transform”, Gazi University Journal of Science, c. 32, sy. 3, ss. 884–893, 2019, doi: 10.35378/gujs.393451.
ISNAD Avagaddı, Prasad - Edward J, Belwin. “Fault Classification in Transmission Systems Using Wavelet Transform”. Gazi University Journal of Science 32/3 (Eylül 2019), 884-893. https://doi.org/10.35378/gujs.393451.
JAMA Avagaddı P, Edward J B. Fault Classification in Transmission Systems using Wavelet Transform. Gazi University Journal of Science. 2019;32:884–893.
MLA Avagaddı, Prasad ve Belwin Edward J. “Fault Classification in Transmission Systems Using Wavelet Transform”. Gazi University Journal of Science, c. 32, sy. 3, 2019, ss. 884-93, doi:10.35378/gujs.393451.
Vancouver Avagaddı P, Edward J B. Fault Classification in Transmission Systems using Wavelet Transform. Gazi University Journal of Science. 2019;32(3):884-93.