Distributed Control for PV-Fed CHB Converter Under Extreme Mismatch Condition
Bibliographic record
Abstract
The cascaded H-bridge (CHB) configuration enables the conversion of low DC voltage of photovoltaic (PV) modules into grid AC voltage without any boosting stage. However, active power mismatch among PV modules under partial shading poses significant control challenges, often resulting in partial range power control and deviation from maximum power point tracking (MPPT) or higher than required grid currents. This paper proposes a simple power control method for a grid-connected CHB inverter where extreme active power mismatches caused by partial shading is addressed by reactive power injection, which is minimized for any operating active power levels, resulting in MPPT for all PV modules without entering over-modulation. The proposed method is a distributed and scalable control system with reduced communication bandwidth requirement. The stability of the control system is analyzed and detailed design method is provided to ensure safe and reliable operation. The effectiveness of the proposed method is validated through both simulation and experimental results for a 1.2 kW prototype with 3 PV modules.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 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".