A Bidirectional Thyristor-Based DC Circuit Breaker With an RC Auxiliary Circuit
Bibliographic record
Abstract
DC circuit breakers (DCCBs) are increasingly used for protecting dc grids, with many conventional designs relying on auxiliary circuits—such asLC,RC, and coupling inductance circuits—to interrupt the main circuit. Compared to the DCCBs using other auxiliary circuits, the DCCBs withRCauxiliary circuits are generally simpler due to straightforward parameter design. Therefore, a new bidirectional thyristor-based DCCB with anRCauxiliary circuit is proposed, offering low conduction losses in the main branch, simplified capacitor precharging, and reliable current interruption capabilities. Besides, the contacts of the mechanical switch can be separated under both zero-current switching and zero-voltage recovery conditions, which can enhance the safety of the protection process. Moreover, compared to the existing DCCB withRCauxiliary circuits, the proposed scheme introduces a new operating method to further reduce capacitor costs. In addition, it employs the same operation sequences for bidirectional protection. Finally, the parameter design is analyzed to ensure the performance of the proposed DCCB, and a small-scale experimental platform is constructed to verify its functionality.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".