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ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

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Research Article

A Novel DWT-ERT-based Fault Location for Distribution Network

Author(s): Roshni Rahangdale* and Archana Gupta*

Volume 17, Issue 3, 2024

Published on: 25 January, 2024

Article ID: e250124226280 Pages: 9

DOI: 10.2174/0126662558269531231218052251

Price: $65

Abstract

Background: A new DWT-ERT-based fault location method is suggested in the IEEE test feeder.

Objective: The fault location approach in the distribution network has been proposed in this paper that utilizes the discrete wavelet transform (DWT) and ensemble regression tree (ERT).

Methods: The fault location methodology has been validated by simulations conducted on an IEEE 13 bus node test feeder.

Results: The results show that the suggested solution has low compute burden and memory requirements, and is unaffected by system and fault situations.

Conclusion: In this study, the fault location approach for the distribution system employing DWT and ERT has been proposed.

[1]
M. McGranaghan, T. Short, and D. Sabin, "Using PQ monitoring infrastructure for automatic fault location", In 19th International Conference on Electricity Distribution, 2007.
[2]
IEEE Guide for Determining Fault Location on AC Transmission and Distribution Lines, IEEE Std, vol. C37, p. 114, 2014.
[3]
M. Daisy, and R. Dashti, "Single phase fault location in electrical distribution feeder using hybrid method", Energy, vol. 103, pp. 356-368, 2016.
[http://dx.doi.org/10.1016/j.energy.2016.02.097]
[4]
S. Jamali, and A. Bahmanyar, "A new fault location method for distribution networks using sparse measurements", Int. J. Electr. Power Energy Syst., vol. 81, pp. 459-468, 2016.
[http://dx.doi.org/10.1016/j.ijepes.2016.02.046]
[5]
R. Chen, X. Yin, X. Yin, Y. Li, and J. Lin, "Computational fault time difference-based fault location method for branched power distribution networks", IEEE Access, vol. 7, pp. 181972-181982, 2019.
[http://dx.doi.org/10.1109/ACCESS.2019.2959427]
[6]
L.W. Xie, Y. Li, L.F. Luo, C. Chen, and Y.J. Cao, "Distribution network fault location method based on distance matrix and branch coefficient", In Proceedings of the Chinese Society for Electrical Engineering, 2022.
[7]
Y. Liao, "Generalized fault-location methods for overhead electric distribution systems", IEEE Trans. Power Deliv., vol. 26, no. 1, pp. 53-64, 2011.
[http://dx.doi.org/10.1109/TPWRD.2010.2057454]
[8]
S. Das, N. Karnik, and S. Santoso, "Distribution fault-locating algorithms using current only", IEEE Trans. Power Deliv., vol. 27, no. 3, pp. 1144-1153, 2012.
[http://dx.doi.org/10.1109/TPWRD.2012.2191422]
[9]
G. Manassero, S.G. Di Santo, and L. Souto, "Heuristic method for fault location in distribution feeders with the presence of distributed generation", IEEE Trans. Smart Grid, vol. 8, no. 6, pp. 2849-2858, 2017.
[http://dx.doi.org/10.1109/TSG.2016.2598487]
[10]
I. Dzafic, R.A. Jabr, S. Henselmeyer, and T. Donlagic, "Fault location in distribution networks through graph marking", IEEE Trans. Smart Grid, vol. 9, no. 2, pp. 1345-1353, 2018.
[http://dx.doi.org/10.1109/TSG.2016.2587583]
[11]
K. Chen, C. Huang, and J. He, "Fault detection, classification and location for transmission lines and distribution systems: A review on the methods", High Volt., vol. 1, no. 1, pp. 25-33, 2016.
[http://dx.doi.org/10.1049/hve.2016.0005]
[12]
Y. Aslan, and Y.E. Yağan, "Artificial neural-network-based fault location for power distribution lines using the frequency spectra of fault data", Electr. Eng., vol. 99, no. 1, pp. 301-311, 2017.
[http://dx.doi.org/10.1007/s00202-016-0428-8]
[13]
J. Mora-Florez, V. Barrera-Nunez, and G. Carrillo-Caicedo, "Fault location in power distribution systems using a learning algorithm for multivariable data analysis", IEEE Trans. Power Deliv., vol. 22, no. 3, pp. 1715-1721, 2007.
[http://dx.doi.org/10.1109/TPWRD.2006.883021]
[14]
D. Thukaram, and H.P. Khincha, "Artificial neural network and support vector Machine approach for locating faults in radial distribution systems", IEEE Trans. Power Deliv., vol. 20, no. 2, pp. 710-721, 2005.
[15]
Z.S. Hosseini, M. Mahoor, and A. Khodaei, "AMI-enabled distribution network line outage identification via multi-label SVM", IEEE Trans. Smart Grid, vol. 9, no. 5, pp. 5470-5472, 2018.
[http://dx.doi.org/10.1109/TSG.2018.2849845]
[16]
M. Farajollahi, A. Shahsavari, E.M. Stewart, and H. Mohsenian-Rad, "Locating the source of events in power distribution systems using micro-PMU data", IEEE Trans. Power Syst., vol. 33, no. 6, pp. 6343-6354, 2018.
[http://dx.doi.org/10.1109/TPWRS.2018.2832126]
[17]
M.S. Hossan, and B. Chowdhury, "Data-driven fault location scheme for advanced distribution management systems", IEEE Trans. Smart Grid, vol. 10, no. 5, pp. 5386-5396, 2019.
[http://dx.doi.org/10.1109/TSG.2018.2881195]
[18]
Y. Zhou, R. Arghandeh, and C.J. Spanos, "Partial knowledge data driven event detection for power distribution networks", IEEE Trans. Smart Grid, vol. 9, no. 5, pp. 5152-5162, 2018.
[http://dx.doi.org/10.1109/TSG.2017.2681962]
[19]
K. Chen, Z. He, S.X. Wang, J. Hu, L. Li, and J. He, "Learning-based data analytics: Moving towards transparent power grids", CSEE J. Power Energy Syst., vol. 4, no. 1, pp. 67-82, 2018.
[http://dx.doi.org/10.17775/CSEEJPES.2017.01070]
[20]
Z.J. Li, S. Lin, M.F. Guo, and J. Tang, "A decentralized fault section location method using autoencoder and feature fusion in resonant grounding distribution systems", IEEE Syst. J., vol. 16, no. 4, pp. 5698-5707, 2022.
[http://dx.doi.org/10.1109/JSYST.2022.3151630]
[21]
J. Liang, T. Jing, H. Niu, and J. Wang, "Two-terminal fault location method of distribution network based on adaptive convolution neural network", IEEE Access, vol. 8, pp. 54035-54043, 2020.
[http://dx.doi.org/10.1109/ACCESS.2020.2980573]
[22]
K. Chen, J. Hu, Y. Zhang, Z. Yu, and J. He, "Fault location in power distribution systems via deep graph convolutional networks", IEEE J. Sel. Areas Comm., vol. 38, no. 1, pp. 119-131, 2020.
[http://dx.doi.org/10.1109/JSAC.2019.2951964]
[23]
J. Dang, Y. Yan, R. Jia, X. Wang, and H. Wei, "Fast single-phase fault location method based on community graph depth-first traversal for distribution network", CSEE J. Power Energy Syst., vol. 9, no. 2, pp. 612-622, 2021.
[24]
B. Yang, K. Jia, Q. Liu, L. Zheng, and T. Bi, "Faulted line section location in distribution system with inverter interfaced DGs using sparse meters", IEEE Trans. Smart Grid, vol. 14, no. 1, pp. 413-423, 2022.
[25]
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.
[http://dx.doi.org/10.1109/ACCESS.2018.2809045]
[26]
R. Azim, F. Li, Y. Xue, M. Starke, and H. Wang, "An islanding detection methodology combining decision trees and Sandia frequency shift for inverter‐based distributed generations", IET Gener. Transm. Distrib., vol. 11, no. 16, pp. 4104-4113, 2017.
[http://dx.doi.org/10.1049/iet-gtd.2016.1617]
[27]
M. Bhatnagar, A. Yadav, and A. Swetapadma, "A resilient protection scheme for common shunt fault and high impedance fault in distribution lines using wavelet transform", IEEE Syst. J., vol. 16, no. 4, pp. 5281-5292, 2022.
[http://dx.doi.org/10.1109/JSYST.2022.3172982]
[28]
A. Valabhoju, A. Yadav, and M. Pazoki, "Optimized ensemble of regression tree-based location of evolving faults in dual-circuit line", Neural Comput. Appl., vol. 33, pp. 8795-8820, 2021.
[http://dx.doi.org/10.1007/s00521-020-05628-6]
[29]
P.K. Mishra, A. Yadav, and M. Pazoki, "FDOST-based fault classification scheme for fixed series compensated transmission system", IEEE Syst. J., vol. 13, no. 3, pp. 3316-3325, 2019.
[http://dx.doi.org/10.1109/JSYST.2018.2890288]
[30]
A. Srivastava, and S.K. Parida, "A robust fault detection and location prediction module using support vector machine and gaussian process regression for AC microgrid", IEEE Trans. Ind. Appl., vol. 58, no. 1, pp. 930-939, 2022.
[http://dx.doi.org/10.1109/TIA.2021.3129982]
[31]
H. Mirshekali, R. Dashti, H.R. Shaker, R. Samsami, and A.J. Torabi, "Linear and nonlinear fault location in smart distribution network under line parameter uncertainty", IEEE Trans. Industr. Inform., vol. 17, no. 12, pp. 8308-8318, 2021.
[http://dx.doi.org/10.1109/TII.2021.3067007]

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