Dynamic model of an interleaved modular multilevel DC-DC converter for MVDC and HVDC systems
Why this work is in the frame
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Bibliographic record
Abstract
The first comprehensive dynamic state-space model of an interleaved DC-MMC is presented. The DC-MMC is one of a new class of non-isolated modular multilevel dc-dc converters that are rapidly gaining traction for deployment in MVDC and HVDC systems. A non-linear time-averaged model of a two-string interleaved DC-MMC is derived that fully represents internal capacitor voltage dynamics and converter terminal dynamics. Simulation results verify the time-averaged model exactly captures the low-frequency dynamics of a full switched converter model implemented in PLECS. The model can be used for a variety of applications, for example, rapid time-domain simulation of the DC-MMC, study of internal cell power transfer mechanisms, and analysis of harmonics and circulating currents.
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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