Wavelet Based Fault Detection and Classification Algorithm for a Real Distribution Feeder
AbstractAs the importance of protection in power systems increase, knowing the type of malfunction occurring in the system has become crucial. Especially in the distribution system where electricity is delivered to the consumer, detecting the right fault type with a short amount of time is important. For this purpose in this study, AkyazÄ±-DÃ¼zkÃ¶y distribution feeder in Trabzon province, where faults commonly occur, is modeled with Digsilent Powerfactory. The model is performed with actual parameters including 465 lines, 243 loads, 233 transformers and 1093 busbars. First, the load flow and short circuit analysis have been carried out for the validation of the model. Then a fault detection and classification algorithm is enhanced using the wavelet transform and the energy of the coefficients. Different types of short circuit faults are created at different points on the model to test the accuracy of the algorithm. The fault inception time and the effect of the fault resistance are also investigated.
A. R. Adly, R. A. El Sehiemy, and A. Y. Abdelaziz, A novel single end measuring system based fast identification scheme for transmission line faults, Measurement, Vol. 103, pp. 263-274, 2017.
S. Affijulla, and P. Tripathy, A Robust Fault Detection and Discrimination Technique for Transmission Lines, IEEE Transactions on Smart Grid, Vol. 9, No. 6, pp. 6348-6358, 2018.
D. Guillen, M. R. A. Paternina, A. Zamora, J. M. Ramirez, and G. Idarraga, Detection and classification of faults in transmission lines using the maximum wavelet singular value and Euclidean norm, IET Generation, Transmission & Distribution, Vol. 9, No.15, pp. 2294-2302, 2015.
A. A. Majd, H. Samet, and T. Ghanbari, k-NN based fault detection and classification methods for power transmission systems, Protection and Control of Modern Power Systems, Vol. 2, No. 1:32, 2017.
A.R. Adly, R. A. El Sehiemy, A. Y. Abdelaziz, and N. M. Ayad, Critical aspects on wavelet transforms based fault identification procedures in HV transmission line, IET Generation, Transmission & Distribution, Vol. 10, No. 2, pp. 508-517, 2016.
K. M. Silva, et al., Haar wavelet-based method for fast fault classification in transmission lines, Transmission & Distribution Conference and Exposition: Latin America, Caracas, pp. 1-5, 2006.
M. J. Reddy and D. K. Mohanta, A wavelet-fuzzy combined approach for classification and location of transmission line faults, International Journal of Electrical Power & Energy Systems, Vol. 29, No. 9, pp. 669-678, 2007.
Z. He, L. Fu, S. Lin, and Z. Bo, Fault detection and classification in EHV transmission line based on wavelet singular entropy, IEEE Transactions on Power Delivery, Vol. 25, No. 4, pp. 2156-2163, 2010.
D. Chanda, N. K. Kishore, and A. K. Sinha, Application of wavelet multiresolution analysis for identification and classification of faults on transmission lines, Electric Power Systems Research, Vol. 73 No. 3, pp. 323-333, 2005.
S. El Safty, and A. El-Zonkoly, Applying wavelet entropy principle in fault classification, International Journal of Electrical Power & Energy Systems, Vol. 31, No. 10, pp. 604-607, 2009.
M. Shafiullah, and M. A. Abido, S-Transform based FFNN approach for distribution grids fault detection and classification, IEEE Access, Vol. 6, pp. 8080-8088, 2018.
M. Kavi, Y. Mishra, and M. D. Vilathgamuwa, High-impedance fault detection and classification in power system distribution networks using morphological fault detector algorithm, IET Generation, Transmission & Distribution, Vol. 12, No.15, pp. 3699-3710, 2018.
U. D. Dwivedi, S. N. Singh, and S. C. Srivastava, A wavelet based approach for classification and location of faults in distribution systems, Annual IEEE India Conference, Kanpur, Vol. 2, pp. 488-493, 2008.
M. Dehghani, M. H. Khooban, and T. Niknam, Fast fault detection and classification based on a combination of wavelet singular entropy theory and fuzzy logic in distribution lines in the presence of distributed generations, International Journal of Electrical Power & Energy Systems, Vol. 78, pp. 455-462, 2016.
H. N. Alves, and R. N. B. Fonseca, An algorithm based on discrete wavelet transform for fault detection and evaluation of the performance of overcurrent protection in radial distribution systems, IEEE Latin America Transactions, vol. 12, N0.4, pp. 602-608, 2014.
A. Ghaderi, H. A. Mohammadpour, H. L. Ginn, and Y. J. Shin, High-impedance fault detection in the distribution network using the time-frequency-based algorithm, IEEE Transactions on Power Delivery, Vol. 30, No. 3, pp. 1260-1268, 2015.
A. R. Oliveira, P. A. N. Garcia, , L. W. Oliveira, E. J. Oliveira, and H. A. Silva, Fault Classification in Distribution Systems Bsaed on Fault Current Angles, IEEE Latin America Transactions, Vol. 14, No. 1, pp. 199-205, 2016.
Power Factory Manual Version 2018.
S. Ekinci, Ã‡ok makinalÄ± gÃ¼Ã§ sisteminde aÃ§Ä±sal kararlÄ±lÄ±k analizi ve kontrolÃ¶r parametre Optimizasyonu, Ph.D. Thesis, Institute of Science and Technology, Istanbul Technical University, 2015.
Ã–. SÃ¶zen, Ãœretim Birimi Ä°Ã§eren Elektrik DaÄŸÄ±tÄ±m Sistemlerinde ArÄ±za yeri belirlenmesinin incelenmesi, Master Thesis, Institute of Science and Technology, Istanbul Technical University, 2005.
Copyright (c) 2019 EMITTER International Journal of Engineering Technology
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright to this article is transferred toÂ Politeknik Elektronika Negeri Surabaya(PENS)Â if and when the article is accepted for publication. The undersigned hereby transfers any and all rights in and to the paper including without limitation all copyrights toÂ PENS. The undersigned hereby represents and warrants that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required. The undersigned represents that he/she has the power and authority to make and execute this assignment. The copyright transfer form can be downloadedÂ hereÂ .
The corresponding author signs for and accepts responsibility for releasing this material on behalf of any and all co-authors. This agreement is to be signed by at least one of the authors who have obtained the assent of the co-author(s) where applicable. After submission of this agreement signed by the corresponding author, changes of authorship or in the order of the authors listed will not be accepted.