The TRV Improvement of Fast Circuit Breakers Using Solid-State Series Superconducting Reactor
Bibliographic record
Abstract
Utilizing superconducting technology in fault current limiters for power grid applications is a practical solution to achieve a more modern and efficient power system. This is due to their low-loss profile, high efficiency, and ability to transmit about 5x more power in the same footprint compared to conventional counterparts. In addition, the integration of renewable energy resources into power grids makes the use of fast circuit breakers essential. However, the Transient Recovery Voltage (TRV) of fast mechanical circuit breakers stays a concern. This paper studies the TRV of a fast circuit breaker during a fault condition. Then the effect of a solid-state superconducting series reactor (SSSR) on the TRV of the circuit breaker is investigated and compared using an analytical model, simulation studies, and experimental testing. The results prove that an SSSR significantly diminishes the TRV of the fast breaker and offers an effective superconducting solution for modern power grids.
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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 | 0.001 |
| 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 | 0.000 | 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".