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Fault Location in Distribution Networks with the Presence of Distributed Generation Units Based on the Impedance Matrix

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Abstract

The study of “fault rapid detection and resolution” in the power network is particularly important in sensitive areas of the network. Today, the use of distributed generation in the distribution network is increasing. In the event of an accident, if the fault location is quickly identified, the recovery of the faulty network is accelerated and the shutdown time is minimized. Since distributed generation networks do not have the traditional methods of fault location, accurate and efficient performance, so in this paper, for the least interrupted power supply, a new method for locating and identifying the faulted part of the distribution system with the presence of distributed generation is studied. The proposed method is based on the impedance matrix of the distribution network which has high speed and accuracy in fault location and also has high accuracy in simulations considering the asymmetry of loads and network. In this paper, simulations are implemented in OpenDSS software under various fault conditions and the results are processed in MATLAB software.

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References

  1. M. Delfanti, D. Falabretti, M. Merlo, Dispersed generation impact on distribution network losses. Electr. Power Syst. Res. 97, 10–18 (2013)

    Article  Google Scholar 

  2. M. Murali, P.S. Kumar, K. Vijetha, Adaptive relaying of radial distribution system with distributed generation. Int. J. Electr. Comput. Eng. 3(3), 2088–8708 (2013)

    Google Scholar 

  3. S.M. Brahma, A.A. Girgis, Distribution system protective device coordination in presence of distributed generation. Int. J. Power Energy. Syst. 24(1), 32–37 (2004)

    Google Scholar 

  4. R.C. Dugan, T.E. Mcdermott, Distributed generation. IEEE Ind. Appl. Mag. 8(2), 19–25 (2002)

    Article  Google Scholar 

  5. “Power system relaying committee, impact of distributed resources on distribution relay protection”; Online Available: http://www.pes-psrc.org/

  6. M. Dashtdar, Fault location in distribution network based on fault current analysis using artificial neural network. Mapta J. Electr. Comput. Eng. (MJECE) 1(2), 18–32 (2018)

    Google Scholar 

  7. M. Dashtdar, R. Dashti and H.R. Shaker. Distribution network fault section identification and fault location using artificial neural network. In 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE) (pp. 273–278). IEEE. (2018)

  8. M. Dashtdar, M. Dashtdar, Fault location in the transmission network using a discrete wavelet transform. Am. J. Electr. Comput. Eng. 3(1), 30–37 (2019)

    Article  Google Scholar 

  9. M. Dashtdar, M. Dashtdar, Voltage and frequency control of islanded micro-grid based on battery and MPPT coordinated control. Mapta J. Electr. Comput. Eng. (MJECE) 2, 1–19 (2020)

    Google Scholar 

  10. M. Dashtdar, M. Dashtdar, Voltage control in distribution networks in presence of distributed generators based on local and coordinated control structures. Sci. Bull. Electr. Eng. Fac. 19(2), 21–27 (2019)

    Google Scholar 

  11. M. Dashtdar, M. Dashtdar, Fault location in distribution network based on phasor measurement units (PMU). Sci. Bull. Electr. Eng. Fac. 19(2), 38–43 (2019)

    Google Scholar 

  12. M. Dashtdar, M. Dashtdar, Detecting the fault section in the distribution network with distributed generators based on optimal placement of smart meters. Sci. Bull. Electr. Eng. Fac. 19(2), 28–34 (2019)

    Google Scholar 

  13. M. Dashtdar, M. Dashtdar, Fault location in the transmission network based on extraction of fault components using wavelet transform. Sci. Bull. Electr. Eng. Fac. 19(2), 1–9 (2019)

    Google Scholar 

  14. M. Dashtdar, M. Esmailbeag, M. Najafi, fault location in the transmission network based on zero-sequence current analysis using discrete wavelet transform and artificial neural network. Am. J. Electr. Comput. Eng. 3, 30 (2019)

    Article  Google Scholar 

  15. M. Dashtdar, M. Dashtdar, Fault location in radial distribution network based on fault current profile and the artificial neural network. Sci. Bull. Electr. Eng. Fac. 20(1), 14–21 (2020)

    Google Scholar 

  16. J.L. Blackburn, T.J. Domin, Protective Relaying: Principles and Applications (CRC Press, Boca Raton, 2014).

    Book  Google Scholar 

  17. Y. Lu, L. Hua, G. Wu, and G. Xu, A study on effect of dispersed generator capacity on power system protection. in 2007 IEEE Power Engineering Society General Meeting (pp. 1–6). IEEE. (2007)

  18. Z. Xiangjun, K.K. Li, W.L. Chan, and S. Sheng, Multi-agents based protection for distributed generation systems. in 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings (Vol. 1, pp. 393–397). IEEE. (2004)

  19. S.A.M. Javadian, A.M. Nasrabadi, M.R. Haghifam, and J. Rezvantalab, Determining fault's type and accurate location in distribution systems with DG using MLP neural networks. in 2009 International Conference on Clean Electrical Power (pp. 284–289). IEEE. (2009)

  20. T.H.M. El-Fouly, and C. Abbey, On the compatibility of fault location approaches and distributed generation. in 2009 CIGRE/IEEE PES Joint Symposium Integration of Wide-Scale Renewable Resources into the Power Delivery System (pp. 1–5). IEEE. (2009)

  21. M. Tarafdar Hagh, M.M. Hosseini, S. Asgarifar, A novel phase to phase fault location algorithm for distribution network with distributed generation. in CIRED Workshop, Lisbon 2012, Paper 0267 (2012)

  22. Z. Guo-fang, and L. Yu-ping, A fault location algorithm for urban distribution network with DG. in 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (pp. 2615–2619). IEEE. (2008)

  23. Z. Guo-fang, and L. Yu-ping, Development of fault location algorithm for distribution networks with DG. In 2008 IEEE International Conference on Sustainable Energy Technologies (pp. 164–168). IEEE. (2008)

  24. V. Calderaro, A. Piccolo, V. Galdi, and P. Siano, Identifying fault location in distribution systems with high distributed generation penetration. In AFRICON 2009 (pp. 1–6). IEEE. (2009)

  25. M. Dashtdar, M. Dashtdar, Fault location in distribution network based on fault current profile and the artificial neural network. Mapta J. Electr. Comput. Eng. (MJECE) 2(1), 30–41 (2020)

    Google Scholar 

  26. J. McDonald, Adaptive intelligent power systems: active distribution networks. Energy Policy 36(12), 4346–4351 (2008)

    Article  Google Scholar 

  27. S. Alwala, F. Ali and MA. Choudhry, Multi agent system based fault location and isolation in a smart microgrid system." In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), pp. 1–4. IEEE, (2012)

  28. M.U. Usman, O. Juan, and Md. Omar Faruque, Fault classification and location identification in a smart distribution network using ANN. in 2018 IEEE Power & Energy Society General Meeting (PESGM), pp. 1–6. IEEE, (2018)

  29. M.U. Usman, Md. Omar Faruque, Validation of a PMU-based fault location identification method for smart distribution network with photovoltaics using real-time data. IET Gener. Transm Distrib 12(21), 5824–5833 (2018)

    Article  Google Scholar 

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Hosseinimoghadam, S.M.S., Dashtdar, M. & Dashtdar, M. Fault Location in Distribution Networks with the Presence of Distributed Generation Units Based on the Impedance Matrix. J. Inst. Eng. India Ser. B 102, 227–236 (2021). https://doi.org/10.1007/s40031-020-00520-2

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  • DOI: https://doi.org/10.1007/s40031-020-00520-2

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