A Multimode Bridge-less SiC-Based AC/DC Step-up Converter with a Dual Active Auxiliary Circuit for Wind Energy Conversion Systems with MVDC Grid
Bibliographic record
Abstract
This paper presents a new multimode bridge-less AC/DC step-up converter, where the bridge-less boost rectifier inherently changes from discontinuous conduction mode (DCM) to continuous conduction mode (CCM) to reduce the inductor and EMI filter footprint and losses. To achieve soft-switching in CCM, a dual active auxiliary circuit network is used to provide the required compensating lagging current to ensure ZVS is achieved during the high peak input voltage range. To reduce the number of conversion stages, the bridge-less boost rectifier and a high frequency step-up resonant converter with high gain rectifier modules are combined into a single-stage step-up converter in each phase. Descriptions of the operating stages of the proposed circuit with the active auxiliary circuit are provided in this paper. The proposed circuit is then implemented with Silicon Carbide (SiC) MOSFET and SiC fast-recovery diodes. Simulation results on a 690Vac/27kVDC, 1.2MW design are first given to verify with the theoretical analysis of the proposed circuit. Experimental results are also provided on a laboratory scale SiC-based 1kW, 150Vac/4kVDC-output proof of concept prototype.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".