Submodule-Based Modeling and Simulation of a Series-Parallel Photovoltaic Array Under Mismatch Conditions
Bibliographic record
Abstract
This paper presents a simple and theoretically sound submodule-based model to simulate the characteristics of a photovoltaic (PV) array with a series-parallel configuration. The proposed model can describe the behavior of bypass diodes as well as the full PV array characteristics under varying irradiance and temperature conditions. Rather than using the nonlinear system of equations solved with a Jacobian matrix, separate equations are employed to model the submodule-based PV array and solved by an easy-to-implement bisection search method. Consequently, the output current of the PV array can be readily determined when its output voltage, the irradiance levels, and temperature values of all submodules are given. The robustness and calculation efficiency of the proposed computational method are analyzed. Some test examples allow us to exhibit the acceptable accuracy of the proposed model. Special attention of this work is paid to the simulation approach to evaluate the electrical mismatch losses in large-scale PV arrays with nonuniform aging after several years of field operation and exposure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".