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Record W2990579768 · doi:10.18280/ejee.210510

Photovoltaic Array Reconfiguration under Partial Shading Based on Integer Link Matrix and Harmony Search

2019· article· en· W2990579768 on OpenAlexvenueno aff
Ahmed K. Ryad, Ahmed M. Atallah, Abdelhalim Zekry

Bibliographic record

VenueEuropean Journal of Electrical Engineering · 2019
Typearticle
Languageen
FieldEngineering
Topicsolar cell performance optimization
Canadian institutionsnot available
Fundersnot available
KeywordsControl reconfigurationShadingPhotovoltaic systemHarmony searchHarmony (color)Matrix (chemical analysis)Computer scienceMathematicsPhysicsMathematical optimizationEngineeringOpticsMaterials scienceElectrical engineeringEmbedded system

Abstract

fetched live from OpenAlex

This paper mainly reconfigures a total cross tied (TCT) photovoltaic array (PA) under partial shading, aiming to maximize the power output based on irradiance mismatch index (IMI).First, the positions of the PV modules in the array were represented as an integer link matrix.The binary value of each integer in the matrix stands for the new position of each PV module in the array.Next, the harmony search (HS) was coupled with the integer link matrix to minimize the IMI.Then, the proposed reconfiguration method was compared with several famous techniques through case studies.The results show that the integer link matrix achieved the best reconfiguration pattern for each case, and the HS outperformed all the contrastive metaheuristic algorithms.The research findings shed important new light on PV power generation under partial shading.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.197
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2019
Admission routes1
Has abstractyes

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