Bipolar Semiactive Bridge Converter With Cross-Cycle Modulation for Resilience Enhancement in Bipolar DC Distribution Systems
Bibliographic record
Abstract
In a bipolar DC distribution system, a monopolar fault can result in a power outage for the load connected to the faulted pole. To provide a resilient load supply, a bipolar semi-active bridge (BiSAB) converter is proposed in this paper as an interface converter. With the proposed BiSAB converter, the monopolar short-circuit fault can be blocked from the load, and uninterrupted power can be drawn from the normal pole. During normal bipolar operation, the BiSAB converter can also provide power regulation capability between the positive and negative poles. Moreover, the cross-cycle modulation strategy is proposed and implemented on the BiSAB to improve the efficiency in the normal bipolar mode. The characteristics and fault-tolerant function of the proposed converter and modulation strategy are verified by experiment, and the resilient load supply capability of the BiSAB is validated.
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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) | 0.002 | 0.000 |
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".