Evidence map›Paper›PMID 39979423›Full record

ArticleScientific reports2025

A new approach for improving dynamic fault ride through capability of gridctied based wind turbines.

Shoaib Ahmed Dayo, Ahsanullah Memon, Zeeshan Anjum Memon, Touqeer Ahmed Jumani, Ghulam Abbas, Salwa Othmen, Amr Yousef, Andika Aji Wijaya

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Shoaib Ahmed DayoDipartimento di Industriale Ingegneria, Università degli Studi di Salerno, Via Giovanni Paolo II, 132, Fisciano, 84084, SA, Italy.
Ahsanullah MemonDepartment of Electrical Engineering, Mehran UET, SZAB Campus Khairpur Mirs 66020, Sindh, Pakistan.
Zeeshan Anjum MemonDepartment of Electrical Engineering, Mehran UET, SZAB Campus Khairpur Mirs 66020, Sindh, Pakistan.
Touqeer Ahmed JumaniDepartment of Electrical Engineering & Computer Science, College of Engineering, A'Sharqiyah University, Ibra, 400, Oman.
Ghulam AbbasSchool of Electrical Engineering, Southeast University, Nanjing, 210096, China. lashariabbas@gmail.com.
Salwa OthmenDepartment of Computers and Information Technologies, College of Sciences and Arts Turaif, Northern Border University, Arar, 73222, Saudi Arabia. salwa.othmen@nbu.edu.sa.
Amr YousefDepartment of Electrical Engineering, College of Engineering, University of Business and Technology, Jeddah, 23411, Saudi Arabia.
Andika Aji WijayaMechanical Engineering Department, College of Engineering, University of Business and Technology, Jeddah, 23411, Saudi Arabia.

Funding

Norhtern Border University NBU-FFR-2024-2894-10
6 · The paper itself

Abstract

The Doubly-Fed Induction Generator (DFIG) is preferred for wind turbines (WTs) due to their variable speed capability, reinforcing energy capture efficiency. Despite its advantages, researchers continually face challenges in managing the DFIG, including overshooting, rising time, and stability under fault conditions. The faults in WTs may stem from the grid or different operational disturbances. The crowbar protection mechanism is an efficient strategy to reduce fault impacts on DFIGs. However, the traditional hysteresis-based methods to detect faults and crowbar activation are prone to false triggering, and to address the challenges posed, this paper presents a novel control strategy that increases the low-voltage ride-through (LVRT) capability of the grid-connected DFIG systems by incorporating Fuzzy Logic Control (FLC) to enhance accuracy in fault detection and employs the Salp Swarm Optimization Algorithm (SSA) to refine controller parameters. The SSA algorithm shows a superior dynamic response and stabilizes the DFIG system efficiently. Besides, the SSA algorithm precisely calibrates the proportional-integral (PI) controller gains and DC-link capacitance values to achieve the optimal transient response between Distributed Generation (DG) integration and fluctuating loads. It is evident by the results that the power quality is improved, and the active power overshoot value is decreased from 10.12 × 10

Indexed as

Doubly-fed induction generatorFault rideFuzzy logic controlOptimizationPower gridWind energy

Identifiers

PMID39979423
PMCPMC11842805

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.