Evidence map›Paper›PMID 39863668›Full record

ArticleScientific reports2025

A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system.

Al-Wesabi Ibrahim, Jiazhu Xu, Imad Aboudrar, Khaled Alwesabi, Li Danhu, Hassan Z Al Garni, Elhachemi Mammeri, Hossam Kotb, Mohit Bajaj, Shir Ahmad Dost Mohammadi

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

10 authors.

Al-Wesabi IbrahimCollege of Electrical and Information Engineering, Hunan University, Hunan, 410083, China. Ibrahim@hnu.edu.cn.
Jiazhu XuCollege of Electrical and Information Engineering, Hunan University, Hunan, 410083, China. xjz@hnu.edu.cn.
Imad AboudrarEngineering and Sustainable Development Research Team, EST of Dakhla, Ibn Zohr University, Dakhla, Morocco.
Khaled AlwesabiCollege of Computer Science and Information Technology, Al-Razi University, Sana'a, 1152, Yemen.
Li DanhuCollege of Electrical and Information Engineering, Hunan University, Hunan, 410083, China.
Hassan Z Al GarniDepartment of Electrical Engineering, Jubail Industrial College, Jubail, Saudi Arabia.
Elhachemi MammeriLaboratory of Applied Automatic, Department of automation and electrification of industrial process, Faculty of Hydrocarbons and Chemistry, M'hamed Bougara University of Boumerdes, Boumerdes, Algeria.
Hossam KotbDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria, 21544, Egypt.
Mohit BajajDepartment of Electrical Engineering, Graphic Era (Deemed to be University), Dehradun, 248002, India. mb.czechia@gmail.com.
Shir Ahmad Dost MohammadiDepartment of Electrical and Electronics, Faculty of Engineering, Alberoni University, Kapisa, Afghanistan. sh_ahmad.dm@au.edu.af.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying the horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics the motion cycles of an entire herd of horses. Next, the linear active disturbance rejection control (LADRC) was applied to monitor the HHOA's reference voltage output. The LADRC, known for managing uncertainties and disturbances, improves the anti-interference capacity of the maximum power point tracking (MPPT) technique and speeds up the system's response rate. Then, in comparison to the traditional method (perturb & observe; P&O) and metaheuristic algorithms (conventional particle swarm optimization; CPSO, grasshopper optimization; GHO, and deterministic PSO; DPSO) through DSEC, the simulations results demonstrate that the combination HHOA-LADRC can successfully track the global maximum peak (GMP) with less fluctuations and a quicker convergence time. Finally, the experimental investigation of the proposed HHOA-LADRC was accomplished with the NI PXIE-1071 Hardware-In-Loop (HIL) prototype. The output findings show that the effectiveness of the provided HHOA-LADRC may approach a value higher than 99%, showed a quicker rate of converging and less oscillations in power through the detection mechanism.

Indexed as

Dynamic and static environmental conditionsDynamic controlMPPTOptimization techniquesPhotovoltaic battery chargers

Identifiers

PMID39863668
PMCPMC11763065

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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.