Augmented Design of DC/DC Modular Multilevel Converter Improving Efficiency and Reducing Number of SMs
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Bibliographic record
Abstract
This paper presents an augmented design method for the dc/dc modular multilevel converter considering the control (e.g., the phase difference between arms ac voltages) and hardware aspects (e.g., type and number of submodules (SMs)) of the converter simultaneously. The proposed augmented design determines the number of SMs and their types (e.g., half- or full-bridge) in each arm and phase difference between arms ac voltages that minimize the total converter losses. Computationally-efficient analytical and semi-analytical methods are proposed to estimate the conduction and switching losses. To verify the effectiveness of the proposed method, the losses obtained from the proposed analytical and semi-analytical methods are compared with the results of the detailed converter switching model implemented in the Simulink environment. The performance of the converter designed by the augmented approach is compared with the conventional topology in terms of total losses and the number of SMs. The comparative study showed that the proposed design method yields a converter with lower total losses and number of SMs. Moreover, the proposed design method extends the operation regime of the converter, especially when the dc links voltage levels are close; this extension is not possible in the conventional modular dc/dc converter.
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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)
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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