A Multilevel Step-Up DC-DC Converter for Interfacing Offshore Wind Turbines with DC grids
Bibliographic record
Abstract
This paper presents a promising multilevel step-up DC-DC converter architecture for interfacing offshore wind turbines to HVDC grid. The converter employs multi-primary, single common secondary novel adder transformer configuration. The multiple primaries are individually fed with high frequency resonant inverters and the secondary ’added’ or step-up voltage is subsequently rectified by a voltage doubler rectifier. Half-bridge modular multilevel converter modules (MMC) are used to implement the voltage doubler, thereby enabling the converter to be suitable for HVDC applications. The proposed converter architecture is designed to generate 160kV at 1 - 10MW from a rectified output of a variable speed wind turbine generator. Soft-switching transition is maintained for all switches for all operating conditions. A scaled experimental prototype with a power range 0.15 - 0.4kW, at input voltage range of 37 - 80V with peak efficiency of 97.66% is built as a proof of concept.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".