Application of SFCLs to Inhibit Commutation Failure in HVdc Systems: Position Comparison and Resistance Recommendation
Bibliographic record
Abstract
Commutation failure is one of the most common failures that may lead to serious consequences in high-voltage direct current (HVdc) systems. Superconducting fault current limiters (SFCLs) have been proved effective to inhibit commutation failures. In this paper, different installation positions of SFCLs are compared through three proposed evaluation indexes. The position between ac and dc systems is proved to have the best performance, and the position at the end of dc line performs moderately but costs less. Then, methods for calculating the convergence resistance of the SFCL are recommended. The theoretical method can draw the lower limit of the resistance quickly and reduce simulation time drastically when SFCLs are installed between ac and dc systems. In addition, an improved structure is presented to ensure fast recovery of an SFCL, so that the system can be restored quickly when the fault disappears. Simulations are carried out on PSCAD/EMTDC against the CIGRE HVdc benchmark system to verify the validity of the proposed installation scheme.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".