Accurate fault location in distribution systems greatly shortens maintenance time and improves reliability. This paper presents novel methods to pinpoint fault location and identify possible bad measurements for enhanced accuracy. It is assumed that network parameters and topology of the distribution network are available. The methods are applicable to a single fault as well as simultaneous faults and are applicable to both balanced and unbalanced networks. The methods utilize synchronized voltage and current phasor measurements to locate the fault. The methods are validated by simulation studies using the modified IEEE 34-Node Test System. Case studies have demonstrated that the methods are suitable for distribution systems with high penetration of distributed generations.
Funding source: US Department of Energy
Award Identifier / Grant number: DE-AC02-06CH11357
Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: This work was partially supported by the U.S. Department of Energy, Office of Electricity Delivery and Energy Reliability, under contract DE-AC02-06CH11357.
Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
2. Bahmanyar, A, Jamali, S, Estebsari, A, Bompard, E. A comparison framework for distribution system outage and fault location methods. Elec Power Syst Res 2017;145:19–34. https://doi.org/10.1016/j.epsr.2016.12.018.Search in Google Scholar
3. Krishnathevar, R, Ngu, EE. Generalized impedance-based fault location for distribution systems. IEEE Trans Power Deliv 2012;27:449–51. https://doi.org/10.1109/tpwrd.2011.2170773.Search in Google Scholar
6. AI-shaher, MA, Sabry, MM, Saleh, AS. Fault location in multi-ring distribution network using artificial neural network. Elec Power Syst Res 2003;64:87–92. https://doi.org/10.1016/s0378-7796(02)00174-8.Search in Google Scholar
7. Thukaram, D, Khincha, HP, Vijaynarasimha, HP. Artificial neural network and support vector machine approach for locating faults in radial distribution systems. IEEE Trans Power Deliv 2005;20:710–21. https://doi.org/10.1109/tpwrd.2005.844307.Search in Google Scholar
8. Sonoda, D, Souza, ACZ, Silveira, PM. Fault identification based on artificial immunological systems. Elec Power Syst Res 2018;156:24–34. https://doi.org/10.1016/j.epsr.2017.11.012.Search in Google Scholar
9. Nam, SR, Kang, SH, Ahn, SJ, Choi, JH. Single line-to-ground fault location based on unsynchronized phasors in automated ungrounded distribution systems. Elec Power Syst Res 2012;86:151–7. https://doi.org/10.1016/j.epsr.2011.12.010.Search in Google Scholar
10. Tapasco, EC, Florez, JM, Londono, SP. Robustness of a generalized impedance based fault locator considering distorted measurements. Elec Power Syst Res 2018;154:234–44. https://doi.org/10.1016/j.epsr.2017.08.035.Search in Google Scholar
11. Chaves, HC, Florez, JM, Londono, SP. Time domain analysis for fault location in power distribution systems considering the load dynamics. Elec Power Syst Res 2017;146:331–40. https://doi.org/10.1016/j.epsr.2017.01.034.Search in Google Scholar
12. Dashti, R, Daisy, M, Shaker, HR, Tahavori, M. Impedance-based fault location method for four-wire power distribution networks. IEEE Access 2018;6:1342–9. https://doi.org/10.1109/access.2017.2778427.Search in Google Scholar
13. Gabr, MA, Ibrahim, DK, Ahmed, ES, Gilany, MI. A new impedance-based fault location scheme for overhead unbalanced radial distribution networks. Elec Power Syst Res 2017;142:153–62. https://doi.org/10.1016/j.epsr.2016.09.015.Search in Google Scholar
14. Chen, R, Yin, X, Yin, X, Li, Y, Lin, J. Computational fault time difference-based fault location method for branched power distribution networks. IEEE Access 2019;7:181972–82. https://doi.org/10.1109/access.2019.2959427.Search in Google Scholar
15. Majidi, M, Etezadi-Amoli, M, Fadali, MS. A novel method for single and simultaneous fault location in distribution networks. IEEE Trans Power Syst 2015;30:3368–76. https://doi.org/10.1109/tpwrs.2014.2375816.Search in Google Scholar
16. Xi, Y, Cui, Y, Tang, X, Li, Z, Zeng, X. Fault location of lightning strikes using residual analysis based on an adaptive Kalman filter. IEEE Access 2019;7:88126–37. https://doi.org/10.1109/access.2019.2926282.Search in Google Scholar
17. Zhang, S, Lin, S, He, Z, Lee, W. Ground fault location in radial distribution networks involving distributed voltage measurement. IET Gener, Transm Distrib 2018;12:987–96. https://doi.org/10.1049/iet-gtd.2017.1166.Search in Google Scholar
18. Brahma, SM. Fault location in power distribution system with penetration of distributed generation. IEEE Trans Power Deliv 2011;26:1545–53. https://doi.org/10.1109/tpwrd.2011.2106146.Search in Google Scholar
19. AI-mohammed, AH, Abido, MA. An adaptive fault location algorithm for power system networks based on synchrophasor measurements. Elec Power Syst Res 2014;108:153–63. https://doi.org/10.1016/j.epsr.2013.10.013.Search in Google Scholar
20. Alwash, SF, Ramachandaramurthy, VK, Mithulananthan, N. Fault-location scheme for power distribution system with distributed generation. IEEE Trans Power Deliv 2015;30:1187–95.https://doi.org/10.1109/tpwrd.2014.2372045.Search in Google Scholar
21. Mora-Flórez, JJ, Herrera-Orozco, RA, Bedoya-Cadena, AF. Fault location considering load uncertainty and distributed generation in power distribution systems. IET Gener, Transm Distrib 2015;9:287–95. https://doi.org/10.1049/iet-gtd.2014.0325.Search in Google Scholar
23. Grajales-Espinal, C, Mora-Florez, J, Perez-Londono, S. Advanced fault location strategy for modern power distribution systems based on phase and sequence components and the minimum fault reactance concept. Elec Power Syst Res 2016;140:933–41. https://doi.org/10.1016/j.epsr.2016.04.008.Search in Google Scholar
24. Jia, K, Bi, T, Ren, Z, Thomas, DWP, Sumner, M. High frequency impedance based fault location in distribution system with DGs. IEEE Trans Smart Grid 2018;9:807–16. https://doi.org/10.1109/tsg.2016.2566673.Search in Google Scholar
25. Mora, MA, Milanovic, JV. Generalized formulation of the optimal monitor placement problem for fault location. Elec Power Syst Res 2012;93:120–6. https://doi.org/10.1016/j.epsr.2012.07.010.Search in Google Scholar
26. Majidi, M, Etezadi-Amoli, M. A new fault location technique in smart distribution networks using synchronized/nonsynchronized measurements. IEEE Trans Power Deliv 2018;33:1358–68. https://doi.org/10.1109/tpwrd.2017.2787131.Search in Google Scholar
27. da Silva Pessoa, AL, Oleskovicz, M, Martins, PET. Sensibility analysis of a fault location method based on ANN, WPT and decision tree in distribution systems. J Contr, Autom Electr Syst 2020;31:990–1000. https://doi.org/10.1007/s40313-020-00597-6.Search in Google Scholar
28. Grainger, J, Stevenson, W. Power system analysis. New York City: McGraw-Hill; 1994.Search in Google Scholar
30. The MathWorks, Inc. Matlab help manual (R2016b). USA: Natick; 2016.Search in Google Scholar
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