Evidence map›Paper›PMID 42259912›Full record

ArticleScientific reports2026

Coordinated voltage control in renewable energy integrated power systems using ant colony optimization.

K Durgadevi, A Murugesan, Viharika Chaudhari, Yagnik Rathod

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

4 authors.

K DurgadeviECE Department, SRM Valliammai Engineering College, Chennai, India. durgadevik.ece@srmvalliammai.ac.in.
A MurugesanDepartment of Biomedical Engineering, K.S.R. College of Engineering, Tiruchengode, Namakkal [District], Tamil Nadu, India. murugesan.a@gmail.com.
Viharika ChaudhariComputer Engineering Department, Government Engineering College, Dahod, India.
Yagnik RathodComputer Engineering Department, Government Engineering College, Dahod, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Navigating the complexities of modern power systems with a high share of renewable energy sources (RES) requires effective control strategies. This research presents a new Coordinated Voltage Control (CVC) framework for RES-integrated grids by combining Ant Colony Optimization (ACO) with a Deep Q-Network (DQN) controller. In this hybrid approach, ACO optimizes voltage profiles while DQN adjusts reactive power support in real-time, allowing for quick responses to grid conditions. The proposed method significantly improves voltage stability and reduces system losses, showing strong performance under different renewable generation and load scenarios. The ACO and DQN framework also shows good computational efficiency, achieving convergence in about 45 to 50 iterations. By using historical and simulated data for DQN training, the controller predicts the best reactive power actions, ensuring scalable and reliable voltage regulation. This work provides a practical and flexible solution for modern power systems rich in renewables, supporting better grid stability and operational efficiency.

Indexed as

Ant colony optimizationDeep Q-networksGrid optimization and grid resilienceRenewable energy integrationSustainable energyVoltage stability

Identifiers

PMID42259912
PMCPMC13486478

What OpenQuestion holds

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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.