A computational approach to voltage stability enhancement and loss reduction in distribution systems using PSO-optimized STATCOM and DG.

Molla Addisu Mossie, Tefera Terefe Yetayew, Girmaw Teshager Bitew, Teketay Mulu Beza, Mezigebu Getinet Yenealem

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

5 authors.

Molla Addisu MossieFaculty of Electrical and Computer Engineering, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia. mollaaddisu2@gmail.com.

Tefera Terefe YetayewDepartment of Electrical Power and Control Engineering, Adama Science and Technology University, P.O. Box 1888, Adama, Ethiopia.

Girmaw Teshager BitewFaculty of Electrical and Computer Engineering, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia.

Teketay Mulu BezaFaculty of Electrical and Computer Engineering, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia.

Mezigebu Getinet YenealemFaculty of Electrical and Computer Engineering, Bahir Dar Institute of Technology, Bahir Dar University, P.O. Box 26, Bahir Dar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Voltage stability enhancement and loss reduction present critical challenges in modern power distribution networks. This study develops a Particle Swarm Optimization (PSO) based multi-objective framework for optimal sizing and placement of Distributed Generation (DG) units and Static Synchronous Compensators (STATCOMs) in radial distribution systems. The research contributes a comprehensive methodology that simultaneously maximizes voltage stability index (VSI), enhances voltage profiles, and minimizes power losses through intelligent optimization. The proposed approach is validated on real 35-bus and 53-bus radial distribution systems from Bahir Dar, Ethiopia, demonstrating significant improvements: VSI enhancement from 0.8083 to 0.840 p.u. (3.96% improvement) and power loss reduction from 150.28 kW to 27.65 kW (81.59% reduction) for the 35-bus system. The 53-bus system achieves VSI improvement from 0.61 to 0.84 p.u. (37.7% enhancement) and loss reduction from 612.43 kW to 121.43 kW (80.17% reduction). Contributions include: (i) joint optimization of DG and STATCOM placement considering multiple objectives, (ii) validation on real distribution feeders with practical constraints, and (iii) comprehensive performance analysis demonstrating the effectiveness of coordinated device deployment.

Indexed as

Distributed generationParticle swarm optimizationPower loss minimizationSTATCOMVoltage stability assessment

Identifiers

PMID41381716

DOI10.1038/s41598-025-30235-7

PMCPMC12748646

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.