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Vikram Raju, G., Venkata Srikanth, N.. (1403). Mono ANN Module Protection Scheme and Multi ANN Modules for Fault Location Estimation for a Six-Phase Transmission Line Using Discrete Wavelet Transform. سامانه مدیریت نشریات علمی, 12(4), 337-351. doi: 10.22098/joape.2023.11690.1874
G. Vikram Raju; N. Venkata Srikanth. "Mono ANN Module Protection Scheme and Multi ANN Modules for Fault Location Estimation for a Six-Phase Transmission Line Using Discrete Wavelet Transform". سامانه مدیریت نشریات علمی, 12, 4, 1403, 337-351. doi: 10.22098/joape.2023.11690.1874
Vikram Raju, G., Venkata Srikanth, N.. (1403). 'Mono ANN Module Protection Scheme and Multi ANN Modules for Fault Location Estimation for a Six-Phase Transmission Line Using Discrete Wavelet Transform', سامانه مدیریت نشریات علمی, 12(4), pp. 337-351. doi: 10.22098/joape.2023.11690.1874
Vikram Raju, G., Venkata Srikanth, N.. Mono ANN Module Protection Scheme and Multi ANN Modules for Fault Location Estimation for a Six-Phase Transmission Line Using Discrete Wavelet Transform. سامانه مدیریت نشریات علمی, 1403; 12(4): 337-351. doi: 10.22098/joape.2023.11690.1874

Mono ANN Module Protection Scheme and Multi ANN Modules for Fault Location Estimation for a Six-Phase Transmission Line Using Discrete Wavelet Transform

Journal of Operation and Automation in Power Engineering
مقاله 6، دوره 12، شماره 4، اسفند 2024، صفحه 337-351    اصل مقاله (1.84 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2023.11690.1874
نویسندگان
G. Vikram Raju* ؛ N. Venkata Srikanth
Department of Electrical Engineering, National Institute of Technology, Warangal, India
چکیده
The enhanced power transfer capability is possible with the six-phase transmission system but it did not gain popularity due to the lack of a proper protection scheme to secure the line from 120 types of different possible short circuit faults. This work presents a protection scheme with discrete wavelet transform (db4 mother wavelet) and an artificial neural network (ANN). The Levenberg-Marquardt algorithm is used for training the ANNs. This protection scheme requires only the pre-processed current information of the sending end bus. For fault detection and classification of all 120 fault types, a single ANN module is implemented with six inputs and six outputs. For fault location estimation in each phase, 11 ANN modules with six outputs are implemented, one for each of the 11 types of combination of faults. The MATLAB/ SIMULINK simulation results of the proposed protection technique implemented on the six-phase Allegheny power transmission system show that it is effective and efficient in detecting and classifying all the faults with varying fault parameters with an accuracy of 99.76%. It is found that the performance of the fault location estimation modules is better with the training data and moderate with the testing data.
کلیدواژه‌ها
Artificial neural network؛ Discrete wavelet transform؛ Fault detection/ classification؛ Fault location estimation؛ Six-phase transmission
مراجع
  1. R. E. Agency, “Renewable capacity statistics 2021,”Renew. Renew. Capacit. Stat., 2021.
  2. B. Bhatt, S. S. Venkata, W. C. Guyker, and W. H. Booth, “Six-phase (multi-phase) power transmission systems: fault analysis,” IEEE Trans. Power Appar. Syst., vol. 96, no. 3, pp. 758–767, 1977.
  3. Venkata, W. Guyker, W. Booth, J. Kondragunta, N. Bhatt, and N. Saini, “Eppc-a computer program for six-phase transmission line design,” IEEE Trans. Power Appar. Syst., no. 7, pp. 1859–1869, 1982.
  4. Venkata, W. Guyker, W. Booth, J. Kondragunta, N. Saini, and E. Stanek, “138-kv, six-phase transmission system: fault analysis,” IEEE Trans. Power Appar. Syst., no. 5, pp. 1203–1218, 1982.
  5. Koley, A. Yadav, and A. Thoke, “Six phase to ground fault detection and classification of transmission line using ann,” Int. J. Comput. Appl., vol. 41, no. 4, 2012.
  6. Li, Y. Li, S. Rowland, J. Hu, I. Cotton, and X. Jiang, “Audible noise evaluation for six-phase overhead lines transformed from existing three-phase double circuit infrastructures with uprated voltages,” High Volt., vol. 7, no. 5, pp. 866–876, 2022.
  7. Shen, B. Cao, P. Crossley, Z. Wang, and X. Ding, “Transformation of a three-phase double-circuit overhead transmission line into a six-phase feeder to increase power transfer capability,” IET Gener. Transm. Distrib., vol. 16, no. 23, pp. 4663–4671, 2022.
  8. Abasi, M. Joorabian, A. Saffarian, and S. G. Seifossadat, “A comprehensive review of various fault location methods for transmission lines compensated by facts devices and series capacitors,” J. Oper. Autom. Power Eng., vol. 9, no. 3, pp. 213–225, 2021.
  9. Shad, M. Gandomkar, and J. Nikoukar, “An improved optimal protection coordination for directional overcurrent relays in meshed distribution networks with dg using a novel truth table,” J. Oper. Autom. Power Eng., vol. 11, no. 3, pp. 151–161, 2023.
  10. Venkata, V. Pandya, and A. Sant, “Data mining model based differential microgrid fault classification using svm considering voltage and current distortions,” J. Oper. Autom. Power Eng., vol. 11, no. 3, pp. 162–172, 2023.
  11. Tiwari, G. K. Singh, and A. B. Saroor, “Multiphase power transmission researcha survey,” Electr. Power Syst. Res., vol. 24, no. 3, pp. 207–215, 1992.
  12. C. Sekhar and P. Subramanyam, “Protection of six phase transmission system of allegheny power system, usa against shunt faults,” in 2014 International Conference on Smart Electric Grid (ISEG), pp. 1–7, IEEE, 2014.
  13. Koley, A. Jain, A. Thoke, A. Jain, and S. Ghosh, “Detection and classification of faults on six phase transmission line using ann,” in 2011 2nd International Conference on Computer and Communication Technology (ICCCT-2011), pp. 100–103, IEEE, 2011.
  14. Kumar, E. Koley, A. Yadav, and A. Thoke, “Fault classification of phase to phase fault in six phase transmission line using haar wavelet and ann,” in 2014 International Conference on Signal Processing and Integrated Networks (SPIN), pp. 5–8, IEEE, 2014.
  15. Koley, A. Yadav, and A. Thoke, “Artificial neural network based protection scheme for one conductor open faults in six phase transmission line,” Int. J. Comput. Appl., vol. 101, no. 4, pp. 42–46, 2014.
  16. Koley, A. Yadav, and A. S. Thoke, “A new single-ended artificial neural network-based protection scheme for shunt faults in six-phase transmission line,” Int. Trans. Electr. Energy Syst., vol. 25, no. 7, pp. 1257–1280, 2015.
  17. Koley, K. Verma, and S. Ghosh, “A modular neuro-wavelet based non-unit protection scheme for zone identification and fault location in six-phase transmission line,” Neural Comput. Appl., vol. 28, pp. 1369–1385, 2017.
  18. K. Shukla, E. Koley, S. Ghosh, and D. K. Mohanta, “Enhancing the reliability of six-phase transmission line protection using power quality informatics with real-time validation,” Int. Trans. Electr. Energy Syst., vol. 29, no. 9, p. e12048, 2019.
  19. Yadav and V. Ashok, “A relaying scheme for detection and classification of shunt faults in six-phase transmission system based on dft-fis approach,” J. Power Technol., vol. 98, no. 2, p. 202, 2018.
  20. Verma, E. Koley, and S. Ghosh, “Application of fuzzy logic for fault detection and classification in six phase transmission line,” in 2017 IEEE Int. Conf. Comput. Intell. Comput. Res. (ICCIC), pp. 1–5, IEEE, 2017.
  21. Stewart and I. Grant, “High phase order-ready for application,” IEEE Trans. Power Appar. Syst., no. 6, pp. 1757–1767, 1982.
  22. P. Valsan and K. Swarup, “Wavelet transform based digital protection for transmission lines,” Int. J. Electr. Power Energy Syst., vol. 31, no. 7-8, pp. 379–388, 2009.
  23. A. Hajjar, “A high speed noncommunication protection scheme for power transmission lines based on wavelet transform,” Electr. Power Syst. Res., vol. 96, pp. 194–200, 2013.
  24. R. Adly, S. H. A. Aleem, M. A. Algabalawy, F. Jurado, and Z. M. Ali, “A novel protection scheme for multi-terminal transmission lines based on wavelet transform,” Electr. Power Syst. Res., vol. 183, p. 106286, 2020.
  25. Valabhoju, A. Yadav, M. Pazoki, and R. A. El-Sehiemy, “Optimized ensemble of regression tree-based location of evolving faults in dual-circuit line,” Neural Comput. Appl., vol. 33, pp. 8795–8820, 2021.
  26. Mustafidah, S. Hartati, R. Wardoyo, and A. Harjoko, “Selection of most appropriate backpropagation training algorithm in data pattern recognition,” arXiv preprint arXiv:1409.4727, 2014.
  27. W. Marquardt, “An algorithm for least-squares estimation of nonlinear parameters,” Journal of the society for Industrial and Applied Mathematics, vol. 11, no. 2, pp. 431–441, 1963.
  28. T. Hagan and M. B. Menhaj, “Training feedforward networks with the marquardt algorithm,” IEEE trans. neural netw., vol. 5, no. 6, pp. 989–993, 1994.
  29. Akke and J. T. Thorp, “Some improvements in the threephase differential equation algorithm for fast transmission line protection,” IEEE Trans. Power Deliv., vol. 13, no. 1, pp. 66–72, 1998.
  30. K. Shukla, E. Koley, and S. Ghosh, “A hybrid wavelet– apso–ann-based protection scheme for six-phase transmission line with real-time validation,” Neural Comput. Appl., vol. 31, pp. 5751–5765, 2019.
  31. Rao Althi, E. Koley, S. Ghosh, and S. K. Shukla, “Six phase transmission line protection using bat algorithm tuned stacked sparse autoencoder,” Electr. Power Compon. Syst., pp. 1–18, 2022.
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