Evidence map›Paper›PMID 40281064›Full record

ArticleScientific reports2025

Multiple-to-single maximum power point tracking for empowering conventional MPPT algorithms under partial shading conditions.

Njimboh Henry Alombah, Ambe Harrison, Wulfran Fendzi Mbasso, Hamid Belghiti, Hilaire Bertrand Fotsin, Pradeep Jangir, Saad F Al-Gahtani, Z M S Elbarbary

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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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Njimboh Henry AlombahDepartment of Electrical and Electronics Engineering, College of Technology, University of Bamenda, P.O. Box 39, Bambili, Cameroon. henry.alombah@gmail.com.
Ambe HarrisonDepartment of Electrical and Electronics Engineering, College of Technology (COT), University of Buea, P.O. Box 63, Buea, Cameroon. ambe.harrison@ubuea.cm.
Wulfran Fendzi MbassoTechnology and Applied Sciences Laboratory, U.I.T. of DoualaUniversity of Douala, P.O. Box 8689, Douala, Cameroon.
Hamid BelghitiLaboratory of Engineering Sciences for Energy National School of Applied Sciences, University of Chouaib Doukkali, El Jadida, Morocco.
Hilaire Bertrand FotsinUnit of Condensed Matter Research, Electronics and Signal Processing, Faculty of Science, Department of Physics, LAMACET, University of Dschang, P.O. Box 67, Dschang, Cameroon.
Pradeep JangirInnovation Center for Artificial Intelligence Applications, Yuan Ze University, Taoyuan, 320315, Taiwan.
Saad F Al-GahtaniElectrical Engineering Department, Faculty of Engineering, King Khalid University, Abha, Saudi Arabia.
Z M S ElbarbaryDepartment of Electrical Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha, 61421, KSA, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Partial shading conditions (PSC) in photovoltaic (PV) systems degrade energy harvest by generating multi-peak power-voltage (P-V) curves, trapping conventional maximum power point tracking (MPPT) algorithms at local maxima. This paper presents a Multi-Peak to Single-Peak Conversion (MSMPPT) framework that enables conventional algorithms like Perturb & Observe (P&O) and Incremental Conductance (INC) to reliably track the global maximum power point (GMPP) under PSC without structural modifications. The framework operates via two stages: dynamic estimation of optimal voltage boundaries to shrink the GMPP search space to under 10% of the original P-V range, and active voltage regulation to enforce operation within this zone, effectively transforming the multi-peak curve into a single-peak profile. The proposed MSMPP-P&O and MSMPP-INC algorithms achieve 50% faster tracking (64 ms vs. 122 ms for P&O) and near-perfect steady-state efficiency under static shading, reducing power losses below 2%. In dynamic shading scenarios with abrupt irradiance shifts, MSMPPT maintains robustness with less than 1.5 W net loss, outperforming conventional methods that incur over 30 W of power losses. By eliminating oscillations and hotspot risks through voltage regulation, the framework retains algorithmic simplicity while enhancing performance under complex shading scenarios. Validated across benchmark shading profiles, MSMPPT demonstrates fidelity without requiring additional hardware or complex optimizers. This innovation bridges the gap between conventional MPPT simplicity and partial shading resilience, offering a cost-effective, scalable solution to boost PV system reliability in shading environments.

Indexed as

Maximum power point (MPP)Multiple-to-single maximum power point tracking (MSMPPT)Multiple-to-single MPP conversionPartial shading conditions (PSC)Photovoltaic (PV)

Identifiers

PMID40281064
PMCPMC12032116

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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.