Skip to content
Licensed Unlicensed Requires Authentication Published by De Gruyter September 14, 2020

Optimal fault location for power distribution systems with distributed generations using synchronized measurements

  • Wen Fan , Yuan Liao ORCID logo EMAIL logo and Ning kang

Abstract

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.


Corresponding author: Yuan Liao, Department of ECE, University of Kentucky, 453 F Paul Anderson Tower, Lexington, Kentucky, 40506, USA, E-mail:

Funding source: US Department of Energy

Award Identifier / Grant number: DE-AC02-06CH11357

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. 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.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

References

1. Kezunovic, M. Smart fault location for smart grids. IEEE Trans Smart Grid March 2011;2:11–22. https://doi.org/10.1109/tsg.2011.2118774.Search in Google Scholar

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

4. Saha, MM, Izykowski, J, Rosolowski, E. Fault location on power networks. London: Springer-Verlag London Ltd; 2010.10.1007/978-1-84882-886-5Search in Google Scholar

5. Liao, Y. A novel method for locating faults on distribution systems. Elec Power Syst Res 2014;117:21–6. https://doi.org/10.1016/j.epsr.2014.07.026.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

22. EI-Zonkoly, AM. Fault diagnosis in distribution network with distributed generation. Elec Power Syst Res 2011;81:1482–90. https://doi.org/10.1016/j.epsr.2011.02.013.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

29. IEEE PES 34 node test system. [Online]. 1992. Available from: http://sites.ieee.org/pes-testfeeders/resources/.Search in Google Scholar

30. The MathWorks, Inc. Matlab help manual (R2016b). USA: Natick; 2016.Search in Google Scholar

Received: 2020-05-03
Accepted: 2020-08-30
Published Online: 2020-09-14

© 2020 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 9.2.2023 from https://www.degruyter.com/document/doi/10.1515/ijeeps-2020-0093/html
Scroll Up Arrow