Modular isolated high frequency medium voltage (MV) step-up resonant DC/DC converters with high-gain rectifier for wind energy systems
Bibliographic record
Abstract
Conventional offshore wind farms with medium voltage (MV) AC grid require low frequency step-up transformer to boost the output voltage of the wind turbine. In order to eliminate the bulky MV step-up transformers in MVAC grid, the use of a MV step-up DC/DC converter in MVDC grid is an attractive alternative. In this paper, two modular MV step-up DC/DC converter topologies that combine multiple modules of step-up resonant circuits and high frequency high gain rectifiers are proposed for MVDC grid in wind energy system. Due to the combination of multiple step-up resonant circuits and the high gain rectifiers, the proposed converters are able to achieve high voltage gain without using large turns ratio high frequency step-up transformers. In addition, ZVS turn-on ZCS turn-off are achieved on the inverter side switches to minimize the switching losses. The switching frequency is varied to regulate the output medium voltage for different wind speed conditions. The description and the operating principles of the proposed converter are provided in this paper. Results on a 5MW, 3.3kVac/40kV wind turbine system are presented to highlight the merits of this work.
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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 | 0.001 |
| 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".