A Self-Powered Bidirectional DC Solid-State Circuit Breaker Based on SiC JFETs for DC Microgrids
Bibliographic record
Abstract
Solid-state circuit breaker (SSCB) has the advantages of fast switching response, no arc, and flexible control in dc fault clearance. The bidirectional power flow of dc microgrid requires SSCBs based on power devices with unidirectional turn-offcapability to reliably clear faults at either end. Thus, this article proposes a self-powered bidirectional SSCB (BSSCB) without an external auxiliary power supply. First, a self-powered BSSCB topology of silicon carbide junction field-effect transistors (SiC JFETs) is proposed. Then, the turn-offprocess of the proposed BSSCB is analyzed in detail, where the effects of self-powered capacitors and voltage-clamping metal oxide varistors (MOVs) are considered. It reveals the influence rules and parameter design basis of these components on turn-offtime and overshoot voltage. Finally, a BSSCB prototype is constructed and tested. The experimental results demonstrate that the proposed BSSCB can rapidly isolate short-circuit faults. Additionally, it can maintain a safe and stable self-power supply whether the short-circuit fault occurs on any side of the BSSCB.
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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) | 0.001 | 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".