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Akbari, Ehsan. (1405). A Novel Simplified Protection Algorithm for Multi-Terminal HVDC Systems Using Travelling Wave-Based Modified Frequency-Spectrum Hilbert Transform. سامانه مدیریت نشریات علمی, (), -. doi: 10.22098/joape.2025.16764.2298
Ehsan Akbari. "A Novel Simplified Protection Algorithm for Multi-Terminal HVDC Systems Using Travelling Wave-Based Modified Frequency-Spectrum Hilbert Transform". سامانه مدیریت نشریات علمی, , , 1405, -. doi: 10.22098/joape.2025.16764.2298
Akbari, Ehsan. (1405). 'A Novel Simplified Protection Algorithm for Multi-Terminal HVDC Systems Using Travelling Wave-Based Modified Frequency-Spectrum Hilbert Transform', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.22098/joape.2025.16764.2298
Akbari, Ehsan. A Novel Simplified Protection Algorithm for Multi-Terminal HVDC Systems Using Travelling Wave-Based Modified Frequency-Spectrum Hilbert Transform. سامانه مدیریت نشریات علمی, 1405; (): -. doi: 10.22098/joape.2025.16764.2298

A Novel Simplified Protection Algorithm for Multi-Terminal HVDC Systems Using Travelling Wave-Based Modified Frequency-Spectrum Hilbert Transform

Journal of Operation and Automation in Power Engineering
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 28 تیر 1405    اصل مقاله (8.11 M)
نوع مقاله: Research paper
شناسه دیجیتال (DOI): 10.22098/joape.2025.16764.2298
نویسنده
Ehsan Akbari*
Department of Electrical Engineering, Mazandaran University of Science and Technology, Babol, Iran.
چکیده
High-voltage direct current (HVDC) transmission systems in multi-terminal configurations are prone to faults due to their structural complexity and multiple power-carrying branches. A failure in such systems may propagate fault waveforms, causing damage to other branches and interconnected networks. To prevent this, accurate and fast protection schemes are required for fault detection, classification, section identification, and location estimation. Traveling wave (TW) theory has been widely applied as a rapid protection method due to its simplicity in implementing complex structures. However, its accuracy decreases under noise and frequency disturbances. This paper proposes a modified frequency spectrum Hilbert transform (MFSHT)-based TW protection scheme that compensates for frequency disturbance errors in conventional Hilbert spectrum analysis. Voltage signals are measured at multiple points in the HVDC grid and processed by the protection algorithm. Simulation results demonstrate that the proposed scheme achieves 100% accuracy in fault detection, classification, and section identification, with an average fault-location error of less than 0.2%. Sensitivity analyses and comparative studies further confirm its effectiveness and superiority.
کلیدواژه‌ها
Multi-terminal high voltage direct current system؛ fault detection؛ classification؛ section determination and location estimation؛ travelling wave theory
مراجع
  1. M. Muniappan, “A comprehensive review of DC fault protection methods in HVDC transmission systems,” Prot. Control Mod. Power Syst., vol. 6, Jan. 2021.
  2. M. Radwan and S. Azad, “Protection of multi-terminal HVDC grids: A comprehensive review,” Energies, vol. 15, p. 9552, Dec. 2022.
  3. M. Z. Yousaf, H. Liu, A. Raza, and A. Mustafa, “Deep learning-based robust DC fault protection scheme for meshed HVDC grids,” CSEE J. Power Energy Syst., Jan. 2023.
  4. E. Akbari and M. S. Shadlu, “Fault detection, classification, and location in VSC-HVDC systems using metaheuristic optimized ANFIS and Hilbert Huang transform method,” in Proc. Int. Conf. Prot. Autom. Power Syst., (Shahrood, Iran), pp. 1–7, Jan. 2024.
  5. S. H. A. Niaki, J. S. Farkhani, Z. Chen, B. Bak-Jensen, and S. Hu, “An intelligent method for fault location estimation in HVDC cable systems connected to offshore wind farms,” Wind, vol. 3, pp. 361–374, Aug. 2023.
  6. M. Raheel and A. Raza, “A support vector machine learning-based protection technique for MT-HVDC systems,” Energies, vol. 13, p. 6668, Dec. 2020.
  7. E. Akbari and M. S. Shadlu, “An intelligent ANFIS-Based fault detection, classification, and location model for VSCHVDC systems based on hybrid PCA-DWT signal processing technique,” Comput. Electr. Eng., vol. 120, p. 109763, Oct. 2024.
  8. A. Pragati, M. Mishra, P. K. Rout, D. A. Gadanayak, S. Hasan, and B. R. Prusty, “A comprehensive survey of HVDC protection system: Fault analysis, methodology, issues, challenges, and future perspective,” Energies, vol. 16, p. 4413, May 2023.
  9. J. Aparna et al., “A very fast and easily implementable support vector machine based relay algorithm to classify the fault and non-fault disturbance in VSC HVDC terminals,” Electr. Power Syst. Res., vol. 220, p. 109380, July 2023.
  10. F. Wilches-Bernal et al., “A survey of traveling wave protection schemes in electric power systems,” IEEE Access, vol. 9, pp. 72949–72969, Jan. 2021.
  11. M. J. B. B. Davi, M. Oleskovicz, and F. V. Lopes, “A review of signal processing for fault diagnosis in systems with inverter-based resources and an improved high-frequency component-based disturbance detector,” Electr. Power Syst. Res., vol. 236, p. 110938, Aug. 2024.
  12. A. Imani, Z. Moravej, and M. Pazoki, “A novel time-domain method for fault detection and classification in VSC-HVDC transmission lines,” Int. J. Electr. Power Energy Syst., vol. 140, p. 108056, Feb. 2022.
  13. K. Rana, N. Kishor, R. Negi, and M. Biswal, “Fault detection and VSC-HVDC network dynamics analysis for the faults in its host AC networks,” Appl. Sci., vol. 14, p. 2378, Mar. 2024.
  14. K. Jashandeep et al., “Fault detection and protection strategy for multi-terminal HVDC grids using wavelet analysis,” Energies, vol. 18, p. 1147, Feb. 2025.
  15. L. Yiqing et al., “Single-pole fault protection for MMCHVDC transmission line based on improved transient-extracting transform,” Int. Trans. Electr. Energy Syst., vol. 31, Dec. 2021.
  16. J. A. Torres, R. C. D. Santos, A. G. D. Freitas, and P. T. L. Asano, “MMC-Based VSC-HVDC link fault protection using short-time Fourier transform,” in Proc. 15th IEEE Int. Conf. Ind. Appl., (São Bernardo do Campo, Brazil), pp. 1456–1462, Nov. 2023.
  17. M. Radwan and S. P. Azad, “An outlier-based single-ended protection scheme for multi-terminal MMC-HVDC grids based on Hilbert-Huang transform,” IEEE Trans. Power Del., vol. 39, pp. 3535–3546, Oct. 2024.
  18. A. Pragati, D. A. Gadanayak, and M. Mishra, “Fault detection and fault phase identification in a VSC-MT-HVDC link using stockwell transform and teager energy operator,” Electr. Power Syst. Res., vol. 236, p. 110937, Aug. 2024.
  19. M. Farshad and M. Karimi, “Intelligent protection of CSC-HVDC lines based on moving average and maximum coordinate difference criteria,” Electr. Power Syst. Res., vol. 199, p. 107439, July 2021.
  20. D. Gutierrez-Rojas, I. T. Christou, D. Dantas, A. Narayanan, P. H. J. Nardelli, and Y. Yang, “Performance evaluation of machine learning for fault selection in power transmission lines,” Knowl. Inf. Syst., vol. 64, pp. 859–883, Feb. 2022.
  21. W. Chen, D. Wang, D. Cheng, and X. Liu, “Travelling wave fault location approach for MMC-HVDC transmission line based on frequency modification algorithm,” Int. J. Electr. Power Energy Syst., vol. 143, p. 108507, Jul 2022.
  22. S. Gao, Z. Xu, G. Song, M. Shao, and Y. Jiang, “Fault location of hybrid three-terminal HVDC transmission line based on improved LMD,” Electr. Power Syst. Res., vol. 201, p. 107550, Sep 2021.
  23. L.-S. Law, J. H. Kim, W. Y. H. Liew, and S.-K. Lee, “An approach based on wavelet packet decomposition and Hilbert–Huang transform (WPD–HHT) for spindle bearings condition monitoring,” Mech. Syst. Signal Process., vol. 33, pp. 197–211, Jul 2012.
  24. R. Li, L. Xu, and L. Yao, “DC fault detection and location in meshed multiterminal HVDC systems based on DC reactor voltage change rate,” IEEE Trans. Power Del., vol. 32, pp. 1516–1526, Jul 2016.
  25. A. Hossam-Eldin, A. Lotfy, M. Elgamal, and M. Ebeed, “Artificial intelligence-based short-circuit fault identifier for MT-HVDC systems,” IET Gener. Transm. Distrib., vol. 12, pp. 2436–2443, Feb 2018.
  26. M. J. P. Molina, D. M. Larruskain, P. E. López, and A. Etxegarai, “Analysis of local measurement-based algorithms for fault detection in a multi-terminal HVDC grid,” Energies, vol. 12, p. 4808, Dec 2019.
  27. Q. Huai, K. Liu, A. Hooshyar, H. Ding, L. Qin, and K. Chen, “Line fault location for multi-terminal MMC-HVDC system based on SWT and SVD,” IET Renew. Power Gener., vol. 14, pp. 4043–4052, Dec 2020.
  28. M. Farshad, “Fault location in HVDC grids equipped with quick-action protections and circuit breakers based on voltage transient response,” IEEE Trans. Ind. Electron., vol. 68, pp. 12881–12889, Dec 2020.
  29. J. Hou, G. Song, P. Chang, R. Xu, and K. S. T. Hussain, “Fault identification scheme for hybrid multi-terminal HVDC system based on control and protection coordination strategy,” Int. J. Electr. Power Energy Syst., vol. 136, p. 107591, Oct 2021.
  30. R. K. Singh, S. Agarwal, and V. Verma, “Identification of fault and section identification in multi-terminal HVDC system using unit protection scheme,” Int. J. Syst. Assur. Eng. Manag., vol. 13, pp. 1283–1297, Oct 2021.
  31. R. Mardani and M. Z. Ehteshami, “Efficient model-based DC fault detection and location scheme for multi-terminal HVDC systems with voltage source converter,” Electr. Eng., vol. 104, pp. 1553–1564, Oct 2021.
  32. E. Tsotsopoulou, X. Karagiannis, T. Papadopoulos, A. Chrysochos, A. Dysko, and D. Tzelepis, “Protection scheme for multi-terminal HVDC system with superconducting cables based on artificial intelligence algorithms,” Int. J. Electr. Power Energy Syst., vol. 149, p. 109037, Feb 2023.
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