# A settingless fault detection approach for MVDC network

**Authors:** Amr Kassem, Hossam Sabra, A. A. Ali, K. M. Abdel-Latif

PMC · DOI: 10.1038/s41598-026-38187-2 · Scientific Reports · 2026-03-04

## TL;DR

This paper introduces a new fault detection method for MVDC networks that works without predefined thresholds and performs well under various challenging conditions.

## Contribution

A setting-less fault detection algorithm for MVDC networks that improves adaptability and accuracy.

## Key findings

- The method achieves fault detection times as low as 0.25 ms.
- It accurately detects faults with resistances up to 200 Ω.
- It remains robust under noise, load changes, and AC-side disturbances.

## Abstract

Medium Voltage Direct Current (MVDC) distribution networks present a promising solution for modern power distribution, yet fast and selective fault detection remains a significant challenge. Conventional protection methods often rely on predefined threshold settings and struggle to distinguish between internal and external faults—especially in the presence of high-impedance conditions or outfeed scenarios. This paper proposes a setting-less fault detection algorithm that determines fault locations by evaluating the rate of change in the difference between local and remote terminal currents. The approach eliminates threshold dependency, enhancing adaptability, sensitivity, and robustness. Advanced signal processing techniques are employed to suppress line capacitance discharge effects and minimize data exchange between terminals. To validate the scheme, extensive simulations are carried out on a multi-terminal MVDC system using PSCAD/EMTDC and MATLAB. The proposed method successfully achieves fault detection times as low as 0.25 ms, accurately detects faults with resistances up to 200 Ω, and maintains robust operation under 50 dB Gaussian noise, sudden load changes, and AC-side disturbances. The results confirm the scheme’s effectiveness and suitability for real-world MVDC protection applications.

The online version contains supplementary material available at 10.1038/s41598-026-38187-2.

## Full-text entities

- **Genes:** GRID1 (glutamate ionotropic receptor delta type subunit 1) [NCBI Gene 2894] {aka GluD1, GluD1-b}
- **Diseases:** IEDs (MESH:D009471), DC (MESH:D054221)
- **Chemicals:** AC (MESH:D000186), DC (MESH:D003841), Bus-2 (-)

## Full text

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## Figures

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## References

17 references — full list in the complete paper: https://tomesphere.com/paper/PMC12963459/full.md

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Source: https://tomesphere.com/paper/PMC12963459