Evidence map›Paper›PMID 39775517›Full record

ArticlePloS one2024

RETRACTED: Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations.

Bachirou Bogno, Deli Goron, Nisso Nicodem, S Shanmugan, Dieudonné Kidmo Kaoga, Kitmo, Akhlaque Ahmad Khan, Yasser Fouad, Michel Aillerie

RetractedAbstract readRetracted Publication
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Bachirou BognoFaculty of Science, University of Garoua, Cameroon, Garoua, Cameroon.ORCID 0000-0001-9374-9392
Deli GoronDepartment of Renewable Energy, University of Maroua, National Advanced School of Engineering of Maroua, Maroua, Cameroon.
Nisso NicodemFaculty of Science, University of Garoua, Cameroon, Garoua, Cameroon.
S ShanmuganDepartment of Engineering Physics, Research Centre for Solar Energy, College of Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India.ORCID 0000-0002-7974-5675
Dieudonné Kidmo KaogaDepartment of Renewable Energy, University of Maroua, National Advanced School of Engineering of Maroua, Maroua, Cameroon.ORCID 0000-0003-4244-2731
KitmoDepartment of Renewable Energy, University of Maroua, National Advanced School of Engineering of Maroua, Maroua, Cameroon.ORCID 0000-0002-0160-010X
Akhlaque Ahmad KhanDepartment of Electrical Engineering, Integral University, Lucknow, India.ORCID 0000-0001-8728-8243
Yasser FouadDepartment of Applied Mechanical Engineering, College of Applied Engineering, Muzahimiyah Branch, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0003-3797-4282
Michel AillerieLaboratoire Matériaux Optiques, Photonique et Systèmes (LMOPS), Université de Lorraine & CentraleSupélec, Metz, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimizing energy resources is a major priority these days. Increasing household energy demand often leads to the deterioration of poorly sized distribution networks. This paper presents a method for energy compensation and optimization in radial distribution systems (ORDS). By integrating distributed generations (DG), an approach is used to evaluate voltage and power profiles, as well as power losses on radial distributed systems (PLRDSs). After integrating distributed generations, improved voltage and power profiles are established. A potential solution to power compensation and blackouts (PCB) can also be the use of hybrid distributed generation systems (HDGSs) that reinforce radial distribution networks (RDNs) by improving power quality. Accordingly, a proposed configuration system is shown in this work to inject multiple renewable energy sources (MRES) from selected regulated nodes. The feasibility of the proposed system is evaluated using particle swarm optimization (PSO), which was used to locate stable nodes and locations, sensitive to voltage fluctuations. The proposed approach is based on the evaluation of the power losses and voltage profiles of the IEEE 33 bus and IEEE 69 bus standards This MATLAB-based method establishes an objective function that converges more quickly to the optimal results.

Indexed as

Electric Power SuppliesAlgorithmsElectricityModels, TheoreticalRenewable Energy

Identifiers

PMID39775517
PMCPMC11684694

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.