Evidence map›Paper›PMID 37845297›Full record

ArticleScientific reports2023

Low-voltage ride-through capability in a DFIG using FO-PID and RCO techniques under symmetrical and asymmetrical faults.

Kiomars Sabzevari, Nima Khosravi, Muhammad Bakr Abdelghany, Youcef Belkhier, Marcos Tostado-Véliz, Hossam Kotb, Scott Govender

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 23 citations in OpenAlex.

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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

7 authors at 5 institutions in 5 countries.

Kiomars SabzevariDepartment of Electrical Engineering, Technical and Vocational University (TVU), Tehran, Iran.
Nima KhosraviDepartment of Electrical and Instrumentation Engineering, R&D Management of NPC, Tehran, Iran. Nimakhosravi64@gmail.com.
Muhammad Bakr AbdelghanyDepartment of Electrical and Computer Engineering, Khalifa University of Science and Technology, Sas Al-Nakhl Campus, Abu Dhabi, United Arab Emirates.
Youcef BelkhierInstitut de Recherche de l'Ecole Navale (EA 3634, IRENav), French Naval Academy, 29240, Brest, France.
Marcos Tostado-VélizDepartment of Electrical Engineering, University of Jaén, 23700, Linares, Spain.
Hossam KotbDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt.
Scott GovenderDepartment of Power Systems Operation and Planning, Power Electrical Industry Consultants Co, Limbe, Malawi. s.govender1978@gmail.com.
Alexandria University · EGInstitut de Recherche de l’École Navale · FRKhalifa University of Science and Technology · AETechnical and Vocational University · IRUniversidad de Jaén · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The power grid faults study is crucial for maintaining grid reliability and stability. Understanding these faults enables rapid detection, prevention, and mitigation, ensuring uninterrupted electricity supply, safeguarding equipment, and preventing potential cascading failures, ultimately supporting the efficient functioning of modern society. This paper delves into the intricate challenge of ensuring the robust operation of wind turbines (WTs) in the face of fault conditions, a matter of substantial concern for power system experts. To navigate this challenge effectively, the implementation of symmetrical fault ride-through (SFRT) and asymmetrical fault ride-through (AFRT) control techniques becomes imperative, as these techniques play a pivotal role in upholding the stability and dependability of the power system during adverse scenarios. This study addresses this formidable challenge by introducing an innovative SFRT-AFRT control methodology based on rotor components optimization called RCO tailored for the rotor side converter (RSC) within a doubly-fed induction generator (DFIG) utilized in wind turbine systems. The proposed control strategy encompasses a two-fold approach: firstly, the attenuation of both positive and negative components is achieved through the strategic application of boundary constraints and the establishment of reference values. Subsequently, the optimization of the control characteristic '[Formula: see text]' is accomplished through the utilization of a particle swarm optimization (PSO) algorithm integrated within an optimization loop. This intricate interplay of mechanisms aims to optimize the performance of the RSC under fault conditions. To measure the efficacy of the proposed control technique, a comparative analysis is conducted. Fractional-order (FO) proportional-integral-derivative (PID) controllers are employed as an additional method to complement the novel approach. By systematically juxtaposing the performance of the proposed SFRT-AFRT control technique with the FO-PID controllers, a comprehensive evaluation of the proposed approach's effectiveness is attained. This comparative assessment lends valuable insights into the potential advantages and limitations of the novel control technique, thereby contributing to the advancement of fault mitigation strategies in WT systems. Finally, the paper highlights the economic viability of the proposed control method, suggesting its suitability for addressing broader power network issues, such as power quality, in future wind farm research.

Identifiers

PMID37845297
PMCPMC10579400
OpenAlexW4387672468

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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.