Evidence map›Paper›PMID 39309841›Full record

ArticleHeliyon2024

A comprehensive comparison of advanced metaheuristic photovoltaic maximum power tracking algorithms during dynamic and static environmental conditions.

Al-Wesabi Ibrahim, Hassan M Hussein Farh, Zhijian Fang, Abdullrahman A Al-Shamma'a, Jiazhu Xu, Fahad Alaql, Walied Alfraidi, Muhammad Hamza Zafar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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
  2. Article
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.

Al-Wesabi IbrahimCollege of Electrical and Information Engineering in Hunan University, Hunan, 410083, China.
Hassan M Hussein FarhElectrical Engineering Department, College of Engineering, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia.
Zhijian FangSchool of Automation, China University of Geoscience, Wuhan, 430074, China.
Abdullrahman A Al-Shamma'aElectrical Engineering Department, College of Engineering, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia.
Jiazhu XuCollege of Electrical and Information Engineering in Hunan University, Hunan, 410083, China.
Fahad AlaqlElectrical Engineering Department, College of Engineering, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia.
Walied AlfraidiElectrical Engineering Department, College of Engineering, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia.
Muhammad Hamza ZafarDepartment of Engineering Sciences, University of Agder, Grimstad, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a novel technique for achieving the global peak (GP) in solar photovoltaic (PV) systems under partial shadowing conditions (PSC) using the Dandelion Optimizer Algorithm (DOA), inspired by the dispersal of dandelion seeds in the wind. The proposed approach aims to enhance the power generation efficiency of PV systems across various scenarios, including dynamic uniform, dynamic PSCs, static uniform irradiances, and static PSCs. The proposed approach improves tracking efficiency, provides non-oscillatory steady-state responses, and reduces transients as well as enhancing the dynamic performance of the whole system. Simulation and hardware-in-loop (HIL) experiments demonstrate that the DOA outperforms several state-of-the-art techniques, such as hybrid grey wolf optimizer since-cosine algorithm (HGWOSCA), grasshopper optimization algorithm (GOA), dragonfly optimizer (DFO), particle swarm optimizer with gravitational search (PSOGS), PSO, cuckoo search algorithm (CSA), perturb &observe (P&O), and incremental conductance (INC), achieving average efficiencies of 99.93 %, 88.84 %, 94.48 %, 87.12 %, 88.05 %, 94.79 %, 93.82 %, 85.25 %, and 77.93 %, respectively. These results underscore the DOA's effectiveness in improving maximum power point tracking (MPPT) performance in solar arrays, particularly under challenging dynamic PSC conditions.

Indexed as

Dandelion optimizer, metaheuristic approachesMPPTPartial shading scenariosPhotovoltaicStatic and dynamic environmentsUniform irradiances

Identifiers

PMID39309841
PMCPMC11416539

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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.