Control of the Current Shaping MMC to Enable High Step-down AC/DC Power Conversion
Bibliographic record
Abstract
This thesis introduces a new control strategy for the Current Shaping Modular Multilevel Converter (CS-MMC), a recently proposed DC/DC converter intended for medium voltage applications. This new control formulation allows the same CS-MMC to accommodate a vastly wider range of input voltages while also reducing the output current ripple. Experimental results are presented using a 1 kW laboratory scale prototype. It is then shown that this introduced control strategy enables the CS-MMC to also accommodate AC input voltages. To achieve this, the topology must be slightly modified, with the new topology termed the AC/DC CS-MMC. While the CS-MMC is intended for the future DC grid, the AC/DC CS-MMC can be powered from existing AC distribution feeders. Simulation results for a 10 kW system are presented. The input current distortion is shown to be in compliance with the IEEE 519-2014 standard.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".