Evidence map›Paper›PMID 41326535›Full record

ArticleScientific reports2025

Design of a distributed power system using solar PV and micro turbine-based wind energy system with a flywheel energy storage.

Tharinaematam Bhavani, Durgam Rajababu, Md Mujahid Irfan, T Rakesh, P Chandra Sekhar, Aymen Flah, Habib Kraiem

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. Not yet cited in PubMed.

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

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

7 authors.

Tharinaematam BhavaniDepartment of Electrical and Electronics Engineering, SR University, Warangal, 506371, India.
Durgam RajababuDepartment of Electrical and Electronics Engineering, SR University, Warangal, 506371, India.
Md Mujahid IrfanDepartment of Electrical and Electronics Engineering, SR University, Warangal, 506371, India.
T RakeshDepartment of Electrical and Electronics Engineering, St. Martins Engineering College, Secundrabad, 500100, India.
P Chandra SekharDepartment of Electrical and Electronics Engineering, Mahatma Gandhi Institute of Technology, Hyderabad, 500075, India.
Aymen FlahCollege of Engineering, University of Business and Technology (UBT), 21448, Jeddah, Saudi Arabia.
Habib KraiemCenter for Scientific Research and Entrepreneurship, Northern Border University, 73213, Arar, Saudi Arabia. ALhabeeb.Kareem@nbu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As renewable energy sources gain distinction in distributed power generation, micro-grid systems integrating solar photovoltaic (PV), micro-turbine-based wind energy, and flywheel energy storage have developed as sustainable solutions. This paper presents a novel design methodology for a hybrid micro-grid system that optimally integrates these components, ensuring enhanced efficiency, resilience, and stability. In a grid outage or weak-grid scenario, a flywheel provides instant backup until wind/solar/storage catches up. The distributed nature ensures that local power supply is maintained, thereby reducing blackout risks. Flywheels avoid chemical waste, unlike batteries. The proposed hybrid micro-grid system represents an innovative approach to distributed power generation in terms of triple energy sources and storage type is in the form of mechanical and the response speed is ultra fast (few milli seconds), fast response time (milliseconds), ideal for voltage/frequency regulation Handling sudden load changes or source fluctuations high reliability due to multiple backups and high sustainability. This hybrid system is suitable for decentralized operation, which allows each unit to make local decisions. This research contributes to advancing micro-grid technology, supporting the transition towards sustainable and resilient energy infrastructures. A key contribution of this work is the design of a fuzzy logic controller (FLC) for dynamic energy management and control of DC-DC converters. Advanced control algorithms (like fuzzy logic, manage real-time source prioritization, power quality regulation, and energy storage control). It enables multi-input, multi-output decision-making that traditional PID or rule-based controllers can't handle efficiently. Handles nonlinear, variable, and uncertain conditions better than conventional methods. Comparative analysis reveals that the FLC outperforms conventional PID controllers, offering a significantly faster dynamic response and reducing output ripples to a greater extent. This leads to improved power quality, enhanced system life, and optimized energy utilization.

Indexed as

Distributed power systemFlywheel energy storageFuzzy logic controllerHybrid micro-gridMicro-turbineSolar PV

Identifiers

PMID41326535
PMCPMC12770353

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.