Evidence map›Paper›PMID 40603493›Full record

ArticleScientific reports2025

A hybrid renewable energy system with advanced control strategies for improved grid stability and power quality.

Marwa Ben Slimene, Mohamed Arbi Khlifi

Abstract read
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

2 authors.

Marwa Ben SlimeneDepartment of Computer Engineering, College of Computer Science and Engineering, University of Ha'il, 55476, Hail, Saudi Arabia.
Mohamed Arbi KhlifiDepartment of Electrical Engineering, Islamic University of Madinah, 42351, Madina, Saudi Arabia. medarbi@iu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global shift toward Renewable Energy Systems (RESs) has gained momentum due to their environmental benefits over traditional fossil fuel-based power generation. However, integrating RESs-such as wind turbines and photovoltaic systems-into the utility grid introduces significant technical challenges. These challenges stem from the nonlinear characteristics, intermittent nature, and inherent uncertainties of RESs. High penetration levels of RESs exacerbate issues such as inadequate generation reserves, elevated fault currents, increased system uncertainties, and degraded power quality. The unpredictable and energy-dilute nature of wind and solar resources further complicates grid stability and control. To address these challenges, this paper proposes a hybrid RES architecture integrated with the grid, enhanced by advanced control strategies to improve system performance. The proposed framework incorporates cutting-edge technologies, including Flexible AC Transmission Systems (FACTS), fault current limiters, and energy storage systems, to mitigate technical barriers and ensure stable grid operation. The system design and performance evaluation are conducted through comprehensive software simulations using Python and Power System Simulation for Engineering (PSSE). Simulation results demonstrate the effectiveness of the proposed approach in enhancing grid stability, power quality, and fault resilience under high-RES penetration scenarios. The proposed strategy reduces THD to 1.8% (vs. 3.1% for conventional PI control), limits voltage fluctuations to ± 2.1%, and maintains frequency deviations within ± 0.1 Hz-outperforming both IEEE 519 and EN 50,160 standards. Comparative analysis shows 40% faster settling times than MPC-based approaches. This study provides a robust solution for the seamless integration of RESs into modern power systems, paving the way for a sustainable energy future.

Indexed as

Advanced control strategiesEnergy storage systemsFault current limitersFlexible AC transmission system (FACTS)Grid integrationGrid stabilityHigh-RES penetrationHybrid RESPower qualityPSSEPythonRenewable energy systems (RESs)

Identifiers

PMID40603493
PMCPMC12223211

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.