Evidence map›Paper›PMID 41775783›Full record

ArticleScientific reports2026

Fuzzy-logic-controlled DVR for enhancing the fault resilience of wind energy conversion systems.

Ahmed Muthanna Nori, Ali Kadhim Abdulabbas, Hassan Z Al Garni, Wulfran Fendzi Mbasso, Mohammed Alruwaili, Ali ELrashidi

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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.

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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

6 authors.

Ahmed Muthanna NoriElectrical Engineering Department, University of Basrah, Basrah, Iraq.
Ali Kadhim AbdulabbasElectrical Engineering Department, University of Basrah, Basrah, Iraq.
Hassan Z Al GarniDepartment of Electrical Engineering, Jubail Industrial College, Royal Commission for Jubail and Yanbu, 35718, Jubail, Saudi Arabia.
Wulfran Fendzi MbassoDepartment of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, 602105, Chennai, India.
Mohammed AlruwailiDepartment of Electrical Engineering, College of Engineering, Northern Border University, 91431, Arar, Saudi Arabia.
Ali ELrashidiElectrical Engineering Department, University of Business and Technology, 23435, Jeddah, Saudi Arabia. a.elrashidi@ubt.edu.sa.

Funding

Deanship of Scientific Research at Northern Border University, Arar, KSA NBU-FFR-2026-2124-02
6 · The paper itself

Abstract

As wind energy becomes more common in modern power networks, it is becoming more important to keep turbines running smoothly even when the grid is having major problems. This study examines the utilization of a Dynamic Voltage Restorer (DVR) within a Permanent Magnet Synchronous Generator (PMSG)-based grid-connected Wind Energy System (WES) to improve Low Voltage Ride-Through (LVRT) performance. The DVR reduces the consequences of grid faults by adding the right series compensation voltage, which brings the Point of Common Coupling (PCC) voltage back to its rated value. A significant contribution to this study is the creation of a cost-effective DVR configuration powered by the existing DC-link of the back-to-back converter (BTBC). This allows the DVR to draw the necessary active power during disturbances without needing an external Battery Energy Storage System (BESS). To improve dynamic responsiveness, a fuzzy logic controller is employed with the DVR feedforward control approach. This makes it better at rejecting disturbances. To keep the DC-link voltage stable during fault events, a brake chopper (BC) is also added. We use comprehensive simulations in MATLAB/Simulink R2024a to test the proposed system. The results show that the fuzzy-controlled DVR can quickly, smoothly, and reliably restore voltage in a variety of faulty conditions. This greatly improves the LVRT performance of PMSG-based WES. A comparative examination shows that the fuzzy-controlled DVR is better than the standard PI-based DVR when it comes to transient behavior, voltage regulation accuracy, and post-fault recovery. This makes the grid code more compliant, and the overall reliability of the system improved.

Indexed as

Braking chopper (BC)Dynamic voltage restorer (DVR)Fuzzy controllerLow voltage ride through (LVRT)PMSGWind energy system (WES)

Identifiers

PMID41775783
PMCPMC13066602

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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.