Novel Hybrid Photovoltaic Array Arrangement to Mitigate Partial Shading Effects
Bibliographic record
Abstract
Abstract This paper presents a Novel Hybrid reconfiguration scheme to mitigate partial shading effects in the photovoltaic array and minimize ties number and wiring complexity. The proposed topology is based on a combination of Total-Cross-Tied and Bridge-Linked classic topologies. Ten possible shadowing scenarios have been considered for this investigation in 6x6 photovoltaic array. Further, the proposed topology performance is assessed and compared to various typical photovoltaic array topologies, namely, Series-Parallel (S‑P), Honey-Comb (H-C), Bridge-Linked (B-L), and Total-Cross-Tied (T-C-T) by considering the several parameters like Global Maximum Power Point (GMPP), Current at GMPP, Voltage at GMPP, Fill Factor, Mismatch Loss, and Efficiency. The Canadian Solar CS5A-200M PV module parameters are used in MATLAB-Simulink software to simulate photovoltaic array configurations. Finally, the findings of this work demonstrates that the suggested topology minimizes the shading losses and generates the highest maximum power regarding the other array configurations under most shadowing cases. The power enhancement percentage of the Novel arrangement can reach up to 20.25% for the S-P configuration, and up to 16% for both the H-C and B-L topologies. In addition, the proposed scheme is characterized by the minimum wiring loss when compared to the Total-Cross-Tied topology.
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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".