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Record W4245197523 · doi:10.1109/61.956747

Effect of regenerative load on a static transfer switch performance

2001· article· en· W4245197523 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2001
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsThyristorMaximum power transfer theoremFault (geology)CommutationBenchmark (surveying)VoltageControl theory (sociology)Electric power systemPower (physics)Transfer (computing)EngineeringComputer scienceElectronic engineeringElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

A thyristor-based static transfer switch (STS) is used to connect an alternate source of AC power to a sensitive load when the main source fails. A main criterion for performance evaluation of a STS is the transfer time from the main to the alternate source. The transfer time depends upon the commutation process of the outgoing and incoming switches which in turn depends on the system parameters and the load characteristics. This paper investigates the effect of a regenerative load on the transfer time/total load-transfer time of a STS and identifies the worst case scenario(s) in which maximum transfer time occurs. The IEEE STS benchmark models STS-1 and STS-2 are chosen to demonstrate the STS performance under various fault/disturbance conditions in a medium-voltage distribution system and a low-voltage experimental set-up system. The simulations are performed using the PSCAD/EMTDC package. The paper shows that a hybrid load can operate in regenerative mode depending on the load parameters and fault/disturbance characteristics.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.810

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 head0.007
GPT teacher head0.207
Teacher spread0.200 · 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