Evidence map›Paper›PMID 39991226›Full record

ArticleHeliyon2025

An adaptive controlled STATCOM and SMES for LVRT augmentation of the renewable integrated AC-microgrid.

Javed Khan Bhutto

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Javed Khan BhuttoDepartment of Electrical Engineering, College of Engineering, King Khalid University, Abha, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper focuses on improving the low voltage ride-through (LVRT) capability of grid-integrated AC-Microgrid (AC-MG) during grid faults. Enhancing LVRT ensures grid connectivity during faults and helps meet grid code requirements. The paper explores LVRT improvement topologies for the renewable-integrated AC-MG, discussing their advantages and disadvantages in reducing over-voltages and voltage fluctuations in the grid. To augment the transient stability of the AC-MG, a new hybrid algorithm approach, the least mean-square (LMS) and the maximum Versoria criterion (MVC)-based adaptive algorithm, is proposed in this paper for the voltage source converter (VSC)-STATCOM and VSC of the superconducting magnetic energy storage (SMES) device. The MVC algorithm augments the transient stability of the grid-coupled AC-MG by dynamically adjusting both the PI controllers of the VSC and the dc-dc chopper in the SMES system and VSC-STATCOM through rapid convergence velocity. A practical 1 MVAR STATCOM and 0.78 MW SMES system is connected at the PCC of AC-MG. The validation of the proposed MVC-PI controllers for the STATCOM and SMES systems is compared with the least mean square (LMS)-based PI controllers under grid disturbances. The proposed control topology is implemented using MATLAB/Simulink software. The power quality of AC-MG can be further augmented by the controlled SMES and STATCOM systems.

Indexed as

AC-MicrogridAdaptive algorithmLow voltage ride-throughRenewableSMESSTATCOMVoltage source converterWind power

Identifiers

PMID39991226
PMCPMC11847073

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.