Evidence map›Paper›PMID 40796930›Full record

ArticleScientific reports2025

Impacts of flexible renewable hybrid system with electric vehicles considering economic reactive power management on microgrid voltage stability and operation.

Huan Xie, Ihab Omar, Husam Rajab, Rishabh Chaturvedi, Abdullah Abed Hussein, Narinderjit Singh Sawaran Singh, Jaber M Asiri, Nimesh Raj, Tannmay Gupta, Ahmad Alizadeh

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Article in Scientific reports, 2025. 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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0cells of the map it votes in
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

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

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

10 authors.

Huan XieSchool of Mechanical Engineering, Xijing University, Xi'an, 710123, Shaanxi, China.
Ihab OmarAir Conditioning Engineering Department, Faculty of Engineering, Warith Al-Anbiyaa University, 56001, Karbala, Iraq.
Husam RajabDepartment of Mechanical Engineering, College of Engineering, Najran University, King Abdulaziz Road, P.O Box 1988, Najran, Kingdom of Saudi Arabia.
Rishabh ChaturvediDepartment of Mechanical Engineering, Institute of Engineering and Technology, GLA University, Mathura, UP, India.
Abdullah Abed HusseinAl-Manara College for Medical Sciences, Amarah, Maysan, Iraq.
Narinderjit Singh Sawaran SinghFaculty of Data Science and Information Technology, INTI International University, Persiaran Perdana BBN, Putra Nilai, 71800, Nilai, Malaysia.
Jaber M AsiriDepartment of Mechanical Engineering, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia.
Nimesh RajCentre of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, 140417, India.
Tannmay GuptaCentre of Research Impact and Outcome, Chitkara University, Rajpura, Punjab, 140417, India.
Ahmad AlizadehCollege of Engineering, Hadaf Institute of Higher Education, Sari, Iran. alizadehahmad594@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article delves into the eco-friendly operation of a smart microgrid, highlighting its ability to maintain voltage security through a flexible renewable hybrid system. The framework incorporates wind and bio-waste energy sources to produce electricity, while leveraging electric vehicles as mobile storage units and flexibility resources. The hybrid system is also capable of managing reactive power. The design focuses on two core Objectives: minimizing operational costs and bolstering voltage security in the grid. To ensure these goals are met, several critical constraints are addressed, including the AC optimal dispatch model, security limitations of the smart microgrid, management of hybrid resources and storage operations, and restrictions related to system flexibility. A single-objective optimization approach uses weighted functions alongside a fuzzy decision-making method to achieve a compromised solution. Stochastic programming is applied to accurately account for uncertainties linked to renewable energy production, load fluctuations, energy pricing, and electric vehicle integration. The research stands out for introducing a multi-objective energy scheduling approach that combines a flexible-renewable hybrid system with the adaptability of electric vehicles and the operational capabilities of bio-waste systems. Numerical simulations emphasize the effectiveness of this design in improving both the technical performance and economic feasibility of smart microgrids and hybrid systems. Noteworthy findings reveal that mobile storage units can fully meet the flexibility requirements of the hybrid system. In comparison with conventional load flow studies, this optimized system delivers enhancements in voltage stability, economic efficiency, and operational capacity by approximately 20%, 33%-65%, and 41%, respectively.

Indexed as

Electric vehicles parking lotFlexibility analysesFlexi-renewable hybrid systemMulti-objective optimizationSmart micro-grid energy managementVoltage stability

Identifiers

PMID40796930
PMCPMC12344006

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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.