Fault Classification in Transmission Systems using Wavelet Transform
Year 2019,
Volume: 32 Issue: 3, 884 - 893, 01.09.2019
Prasad Avagaddı
,
Belwin Edward J
Abstract
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.
References
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- 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).
Year 2019,
Volume: 32 Issue: 3, 884 - 893, 01.09.2019
Prasad Avagaddı
,
Belwin Edward J
References
- 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).