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Record W2603831484 · doi:10.1109/cjece.2016.2611616

Application of SFCLs to Inhibit Commutation Failure in HVdc Systems: Position Comparison and Resistance Recommendation

2017· article· en· W2603831484 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Electrical and Computer Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsnot available
Fundersnot available
KeywordsCommutationBenchmark (surveying)Position (finance)Computer scienceFault current limiterVoltageReliability engineeringConvergence (economics)Fault (geology)Limit (mathematics)Direct currentLimiterControl theory (sociology)Electrical engineeringEngineeringElectric power systemMathematicsTelecommunicationsPower (physics)Control (management)Physics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.569
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.200
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it