A new three-phase soft-switched bridgeless AC/DC step-up converter with current fed voltage doubler modules for DC grid in wind systems
Bibliographic record
Abstract
A new soft-switched, bridgeless rectifier is presented in this paper that is integrated with an isolated step-up resonant converter for step-up voltage conversion in medium voltage (MV) DC grid in wind energy applications. To reduce the number of conversion stages, the proposed bridgeless boost rectifier is integrated with a high-frequency step-up resonant converter with voltage doubler modules to form a single-stage AC/DC step-up converter. The proposed converter is able to reduce the number of semiconductors required for the front-end rectifier, thus simplifying the resulting controller. In addition, all the switches and diodes are able to achieve soft-switching to enhance the overall circuit efficiency. Simulation results are given on a 800kW, 690Vac/15kVDC system to highlight the merits of the proposed converter. To further validate the performance of the proposed converter, experimental results are provided on a laboratory scale 50Vac/1kVDC, 28kHz Silicon-Carbide based proof of concept prototype.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".