Evidence map›Paper›PMID 38500980›Full record

ArticleHeliyon2024

Novel MPPT algorithm based on honey bees foraging characteristics for solar power generation systems.

Wei-Jen Chen, Shoeb-Azam Farooqui, Hwa-Dong Liu, Shan-Xun Lai, Ping-Jui Lin

Abstract read
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

5 authors.

Wei-Jen ChenUndergraduate Program of Vehicle and Energy Engineering, National Taiwan Normal University, Taipei, 106, Taiwan.
Shoeb-Azam FarooquiDepartment of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, 106, Taiwan.
Hwa-Dong LiuUndergraduate Program of Vehicle and Energy Engineering, National Taiwan Normal University, Taipei, 106, Taiwan.
Shan-Xun LaiUndergraduate Program of Vehicle and Energy Engineering, National Taiwan Normal University, Taipei, 106, Taiwan.
Ping-Jui LinUndergraduate Program of Vehicle and Energy Engineering, National Taiwan Normal University, Taipei, 106, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study proposes a novel honey bee dancing (HBD) maximum power point tracking (MPPT) algorithm inspired by the foraging behavior of honey bees. When a bee finds nectar, it returns to the honeycomb and dances to inform others about the location of the nectar. Other bees then fly towards the location and gather the nectar. The proposed HBD algorithm uses five bees searching for the nectar who communicate with each other about the location and the quantity of nectar by dancing. Finally, the five bees found the location of the most nectar which is represented by the maximum power point. The proposed HBD algorithm applies to uniform irradiance condition (UIC) and partial shaded condition (PSC). It is then compared with the PV panel output power and load relationship (OPLR) algorithm and perturb and observe (P&O) algorithm. Experimental verification has been performed under both the UIC and PSC. At the UIC's irradiance level of 200 W/m

Indexed as

Honey bee dancingMaximum power point trackingPartial shaded conditionSolar power systemUniform irradiance condition

Identifiers

PMID38500980
PMCPMC10945190

What OpenQuestion holds

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LicenceCC BY
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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.