Evidence map›Paper›PMID 41781420›Full record

ArticleScientific reports2026

A settingless fault detection approach for MVDC network.

Amr Kassem, Hossam Sabra, A A Ali, K M Abdel-Latif

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Amr KassemDepartment of Electrical Machine and Power Engineering, Faculty of Engineering, Helwan University, Cairo, Egypt. amr.kassem@h-eng.helwan.edu.eg.
Hossam SabraMinistry of Electricity and Energy, South Cairo Electricity Distribution Company, Cairo, Egypt.
A A AliDepartment of Electrical Machine and Power Engineering, Faculty of Engineering, Helwan University, Cairo, Egypt.
K M Abdel-LatifDepartment of Electrical Machine and Power Engineering, Faculty of Engineering, Helwan University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Fault detectionMVDC distribution networksVoltage source converter

Identifiers

PMID41781420
PMCPMC12963459

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.