Investigation of Multiple Sudoku PV Array Reconfiguration Architectures under Partial Shading
Bibliographic record
Abstract
Array reconfigurations are widely preferred as a cost-effective solution for partial shading mitigation in solar PV arrays. Numerous architectures of array reconfigurations are proposed in the wide range of literature among which the Sudoku approach has gained a huge attraction due to the effective shade dispersion capability. However, recently other Sudoku-based reconfiguration strategies have been proposed and claimed to have higher shading dispersion and power enhancement than conventional Sudoku. So, in this paper, various reconfigurations i.e., Sudoku, improved Sudoku, hyper Sudoku, optimal Sudoku, modified Sudoku, triple X Sudoku, and advanced Sudoku have been critically analyzed under common multi-irradiance levels based partial shading scenarios to validate their performance in term of power losses reduction and shade dispersion in the PV arrays. The investigation has been done for a 9×9 PV array in the MATLAB environment under five partial shading scenarios using mathematical validation, power generation, losses, efficiency, and power curve analysis. It has been noticed that modified Sudoku has shown better performance and the shade dispersion of architectures depends on the nature and pattern of shading.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".