A comparison of modular multilevel energy conversion processes: DC/AC versus DC/DC
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Bibliographic record
Abstract
Utilizing strings of cascaded submodules for multilevel dc/ac conversion has become well known due to the widespread popularity of the modular multilevel converter (MMC). Recently, it has been shown that these submodule strings can be adapted to achieve single-stage dc/dc conversion. Although the modular string configurations for dc/ac versus dc/dc conversion are similar, the underlying power transfer mechanisms employed by each are significantly different. This paper compares the dc/ac and dc/dc energy conversion processes for series-cascaded submodules and highlights their key similarities and differences. Converter operation and control requirements for dc/ac versus dc/dc conversion are discussed and contrasted. Case study simulations performed in PLECS illustrate both energy conversion processes for a single submodule string.
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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 | 0.000 |
| 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 it