Prasad AVAGADDI, Belwin EDWARD J

Fault Classification in Transmission Systems using Wavelet Transform

Fault analysis is a prime apprehension in power system. This article elaborates an appropriateapproach for detection of faults and wavelet technique is used for classification of faults inoverhead lines. This method uses only measurements of post fault currents at single end of theline for fault analysis. To validate the efficacy of this method, simulations have been performedunder various conditions of fault occurrence using MATLAB and the obtained outcomes arecompared with fuzzy logic technique. The outcomes attained are promising and as well accuracyimproved in classification.

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Prasad, A., Edward, J.B., Ravi, K., “A review on fault classification methodologies in power transmission systems: Part-I”, Journal of Electrical Systems and Information Technology, 5(1): 48-60, (2017).
Prasad, A., Edward, J.B., Ravi, K., “A review on fault classification methodologies in power transmission systems: Part-II”, Journal of Electrical Systems and Information Technology, 5(1): 61-67, (2016).
Mahanty, R.N., Gupta, D.P.B., “A fuzzy logic based fault classification approach using current samples only”, Electric Power Systems Research, 77(5-6): 501–507, (2007).
Samantaray, S.R., A systematic fuzzy rule based approach for fault classification in transmission lines. Applied Soft Computing, 13(2): 928-938, (2013).
Adly, A.R., El Sehiemy, R.A., Abdelaziz, A.Y., and Ayad, N.M., “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, M.R.A., Zamora, A., Ramirez, J.M., 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, F.E., 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, K.M., Souza, B.A., Brito, N.S., “Fault detection and classification in transmission lines based on wavelet transform and ANN”, IEEE Transactions on Power Delivery, 21(4): 2058-2063, (2006).
Abdullah, A., "Ultrafast Transmission Line Fault Detection Using a DWT Based ANN." IEEE Transactions on Industry Applications, 54(2): 1182-1193, (2017).
Youssef, O.A., “Combined fuzzy-logic wavelet-based fault classification technique for power system relaying”, IEEE Transactions on Power Delivery, 19(2): 582-589, 2004).
Jung, C.K., Kim, K.H., Lee, J.B., 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., Khederzadeh, M., “New pattern-recognition method for Fault analysis in transmission line with UPFC”, IEEE Transactions on Power Delivery, 30(3): 1231-1242, (2015).
Pazoki, M., “A New Fault Classifier in Transmission Lines Using Intrinsic Time Decomposition”, IEEE Transactions on Industrial Informatics, 14(2): 619-628, (2018).
Chen, Y.Q., Olga, F., Giovanni, S., "Combined Fault Location and Classification for Power Transmission Lines Fault Diagnosis with Integrated Feature Extraction." IEEE Transactions on Industrial Electronics, 65(1): 561-569, (2018).