In this study, algorithms for directional relays using only current measurements are presented. Developed for radial distribution networks, these algorithms will determine fault direction based on ratios between variations of sequence currents during and before faults: ΔI ₂/ΔI ₀ ratio for line-to-ground faults and the ΔI ₂/ΔI ₁ ratio for line-to-line faults. The ratios are used as input of a support vector machine classifier, which was trained beforehand thanks to simulation tools. The classifier classifies ratios into two categories, according to the fault location: upstream or downstream towards the relay. Test results from simulations show good performances of the algorithms in most cases, with the presence of different distributed generation technologies. Moreover, impact of certain factors on algorithms, such as measurement errors, high-impedance faults or network reconfiguration, is studied. Finally, the implementation of algorithms is also discussed.

References

1. 1)
  - 24. ERDF-NOI-RES_07E: ‘Description of public electricity distribution networks’ (French, 2008).
2. 2)
  - 14. Le, T.D., Petit, M.: ‘Contribution des moyens de production dispensés aux courants de défaut. Modélisation des moyens de production et algorithmes de détection de défaut’. PhD thesis, SUPELEC, 2014.
3. 3)
  - 3. Ukil, A., Deck, B., Shah, V.H.: ‘Smart distribution protection using current-only directional overcurrent relay’. Proc. IEEE PES Conf. Innovative Smart Grid Technologies, Gothenburg, Sweden, October 2010, pp. 1–7.
4. 4)
  - 28. Chang, C.-C., Lin, C.-J.: ‘LIBSVM: a library for support vector machines’, ACM Trans. Intell. Syst. Technol., 2011, 2, (3), pp. 1–27 (doi: 10.1145/1961189.1961199).
5. 5)
  - A.K. Pradhan , A. Routray , S.M. Gudipalli . Fault direction estimation in radial distribution system using phase change in sequence current. IEEE Trans. Power Deliv. , 4 , 2065 - 2071
6. 6)
  - 21. Muljadi, E., Yildirim, D., Batan, T., Butterfield, C.P.: ‘Understanding the unbalanced-voltage problem in wind turbine generation’. IEEE IAS Annual Meeting 34th Proc. Conf. Industry Applications, Phoenix, AZ, 1999, pp. 1359–1365.
7. 7)
  - 1. Ukil, A., Kamala, A.R.: ‘Current only directional overcurrent protection for distribution automation using neural network’. Proc. IEEE PES Conf. Tenth PowerTech, Grenoble, France, June 2013, pp. 1–6.
8. 8)
  - 25. HN 52-S-25: ‘Impedance of compensative grounding for rural and mixed MV networks’ (French, 2001).
9. 9)
  - 23. Matlab R2012b Documentation: ‘Three-Phase Programmable Voltage Source’. Available at http://www.mathworks.fr/fr/help/physmod/powersys/ref/threephaseprogrammablevoltagesource.html.
10. 10)
  - T.S. Sidhu , L. Mital , M.S. Sachdev . A comprehensive analysis of an artificial neural-network-based fault direction discriminator. IEEE Trans. Power Deliv. , 3 , 1042 - 1048
11. 11)
  - 26. B.61–21: ‘Protection of MV distribution networks – principles’ (French, 1994).
12. 12)
  - J. Mahseredjian , V. Dinavahi , J.A. Martinez . Simulation tools for electromagnetic transients in power systems: overview and challenges. IEEE Trans. Power Deliv. , 3 , 1657 - 1669
13. 13)
  - 13. Le, T.D., Petit, M.: ‘Directional relays for distribution networks with distributed generation’. Proc. Int. Conf. Developments in Power System Protection 11th, Birmingham, UK, April 2012, pp. 1–6.
14. 14)
  - 8. Fraisse, J.-L., Horson, J.-P.: ‘Technical considerations of distributed generation interconnection in distribution systems’. Technique de l'ingénieur D4242, French, 2010.
15. 15)
  - 7. Deuse, J., Grenard, S., Bollen, M.H.J., Häger, M., Sollerkvist, F.: ‘Effective impact of DER on distribution system protection’. Proc. CIRED, Vienna, Austria, May 2007, pp. 1–4.
16. 16)
  - 11. Anderson, P.M.: ‘Analysis of faulted power systems’ (IEEE Press Series on Power Engineering, 1995).
17. 17)
  - 22. NF EN 50 160: ‘Voltage Characteristics in Public Distribution Systems’, 1995.
18. 18)
  - B. Enacheanu , B. Raison , R. Caire , O. Devaux , W. Bienia , N. Hadjsaid . Radial network reconfiguration using genetic algorithm based on the matroid theory. IEEE Trans Power Syst. , 1 , 186 - 195
19. 19)
  - 5. Jecu, C., Raison, B., Caire, R., et al: ‘MV distribution protection schemes to reduce customers and DGs interruptions’. Proc. IEEE PowerTech, Trondheim, Norway, June 2011, pp. 1–7.
20. 20)
  - 19. Hsu, C.-W., Chang, C.-C., Lin, C.-J.: ‘A practical guide to support vector classification’. Available at http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf.
21. 21)
  - 4. Chilvers, I., Jenkins, N., Crossley, P.: ‘Distance relaying of 11 kV circuits to increase the installed capacity of distributed generation’, IEE Proc. Gener. Transm. Distrib., 2005, 1, (152), pp. 40–46 (doi: 10.1049/ip-gtd:20041205).
22. 22)
  - 16. Bishop, C.M.: ‘Pattern recognition and machine learning’ (Springer, 2006).
23. 23)
  - 19. Wu, X., Kumar, V., Quinlan, J.R., et al: ‘Top 10 algorithms in data mining’, Knowl. Inf. Syst., 2008, 14, (1), pp. 1–37 (doi: 10.1007/s10115-007-0114-2).
24. 24)
  - 17. Matlab R2012b Documentation: ‘Support Vector Machines (SVM)’. Available at http://www.mathworks.fr/fr/help/bioinfo/ug/support-vector-machines-svm.html.
25. 25)
  - 2. Ukil, A., Deck, B., Shah, V.H.: ‘Current-only directional overcurrent protection for distribution automation: challenges and solutions’, IEEE Trans. Smart Grid, 2012, 3, (4), pp. 1687–1694 (doi: 10.1109/TSG.2012.2208127).
26. 26)
  - 27. ABB: ‘Instrument Transformers, Application Guide’, 2009.
27. 27)
  - M. Petit , X.L. Pivert , L. Garcia-Santander . Directional relays without voltage sensors for distribution networks with distributed generation: use of symmetrical components. Electr. Power Syst. Res. , 10 , 1222 - 1228
28. 28)
  - 6. Kauhaniemi, K., Kumpulainen, L.: ‘Impact of distributed generation on the protection of distribution networks’. Proc. Int. Conf. Developments in Power System Protection Eighth, April 2004, pp. 315–318.

Directional relays without voltage sensors for distribution networks

References

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