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International Journal of Science, Strategic Management and Technology

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IOT-BASED SUPERVISORY CONTROL OF FAULT CURRENT LIMITERS FOR HVDC SUBSTATIONS: ARCHITECTURE, IMPLEMENTATION, AND PERFORMANCE

AUTHORS:
Prof P.G.Sardar
Mentor
Prof.B.A.More , Prof.S.R. Ratnaparkhi
Affiliation
Dept. of Electrical Engineering,  Sci & Engineering
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

High-voltage direct current (HVDC) grids are expanding rapidly as the backbone of long-distance renewable energy transmission, but their low system impedance creates a fault current problem that AC networks, with their natural zero-crossings, do not face in quite the same way. Fault currents in HVDC systems can reach damaging levels in under two milliseconds, faster than most conventional protection relays can even detect a fault, let alone respond to it. Fault current limiters (FCLs) — superconducting, solid-state, or hybrid — address the physics of the problem, but integrating them into a supervisory control architecture that can monitor health, predict impending failures, and coordinate with the wider SCADA system has remained an open engineering challenge. This paper proposes an IoT-based three-layer supervisory control framework for FCL management in HVDC substations, combining IEC 61850 GOOSE messaging at the edge with MQTT-over-TLS telemetry to a cloud SCADA platform and an LSTM-based edge AI module for real-time fault classification. Tested on a ±500 kV HVDC substation hardware-in-the-loop (HIL) testbed, the proposed system detected fault inception in 1.8 ms, triggered FCL insertion in under 1 ms, and limited the prospective 28 kA fault current to 5 kA — an 82 % reduction. End-to-end SCADA latency was 4.2 ms, and system availability over a six-month monitoring period was 99.97 %. The false positive trip rate was 0.003 %, lower than any previously reported figure for this class of application.

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P.G.Sardar, P. (2026). IOT-Based Supervisory Control of Fault Current Limiters for HVDC Substations: Architecture, Implementation, and Performance. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.309

P.G.Sardar, Prof. "IOT-Based Supervisory Control of Fault Current Limiters for HVDC Substations: Architecture, Implementation, and Performance." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.309.

P.G.Sardar, Prof. "IOT-Based Supervisory Control of Fault Current Limiters for HVDC Substations: Architecture, Implementation, and Performance." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.309.

References
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[2] M. Noe and M. Steurer, “High-temperature superconductor fault current limiters: Concepts, applications, and development status,” Superconductor Science and Technology, vol. 20, no. 3, pp. R15–R29, 2007.

[3] H. Schmitt, J. Amon, F. Kunde, and G. Damstra, “Application of fault current limiters in distribution systems,” in Proc. IEEE PES General Meeting, pp. 1–8, 2006.

[4] J. Martinez, A. Torres, and L. Garcia, “Mon-itoring of superconducting fault current limiters using IoT and MQTT telemetry,” Electric Power Systems Research, vol. 215, art. 108934, 2023.

[5] T. Ghanbari, E. Farjah, and A. Zandnia, “Development of a high-performance inrush current discriminating algorithm,” IET Generation, Transmission & Distribution, vol. 9, no. 5, pp. 458–466, 2015.

[6] A. Patel and R. Bhatt, “Convolutional neural network-based fault classification for superconducting FCLs in HVDC grids,” IEEE Transactions on Power Delivery, vol. 38, no. 4, pp. 2811–2820, 2023.

[7] IEC 62271-110, “High-voltage switchgear and controlgear — Part 110: Inductive load switching,” International Electrotechnical Commission, Geneva, 2017.

[8] M. A. Khan, I. A. Khan, M. A. Faruque, and S. Saha, “Hardware-in-the-loop testing of a resistive SFCL for VSC-HVDC protection,” IEEE Transactions on Applied Superconductivity, vol. 29, no. 5, art. 5601905, 2019.

[9] L. Zhang, Q. Huang, W. Chen, and Y. Zhu, “Solid-state fault current limiter with self-adaptive triggering for HVDC applications,” IEEE Transactions on Industrial Electronics, vol. 69, no. 7, pp. 6830–6839, 2022.

[10] S. H. Lim, B. S. Han, and J. C. Kim, “Characteristics comparison of a flux-lock-type SFCL with REBCO coated conductor in a scaled HVDC grid,” IEEE Transactions on Applied Superconductivity, vol. 30, no. 4, art. 5602205, 2020.
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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