MétaCan
Menu
Back to cohort
Record W2159519367 · doi:10.1109/pes.2008.4595983

Harmonic mitigation in a Virtual Air Gap Variable Reactor via control current modulation

2008· article· en· W2159519367 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHarmonicsHarmonicReactanceModulation (music)ThyristorAir gap (plumbing)Current (fluid)Electronic engineeringHarmonic analysisControl theory (sociology)EngineeringVoltageComputer scienceElectrical engineeringMaterials sciencePhysicsAcousticsControl (management)

Abstract

fetched live from OpenAlex

A Virtual Air Gap Variable Reactor is a device that is capable of producing a continuously variable reactance with a better dynamic response and without introducing the harmonics created by the thyristor switching of a TCR. This paper presents a method of harmonic mitigation that can be applied to a laboratory prototype Virtual Air Gap Variable Reactor (VAG-VR) which further improves on the low harmonics already achieved. The method utilizes control current modulation such that the DC auxiliary current is modulated with a 2nd harmonic component. It is seen that the 3rd harmonic can be reduced in the range of 60% - 96% as compared to using the DC auxiliary current without modulation. The 5th and 7th harmonics also show a modest reduction. This improvement is in addition to the improvements that have already been achieved by the VAG-VR as compared to the thyristor controlled reactor (TCR).

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 score0.841
Threshold uncertainty score0.406

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 head0.014
GPT teacher head0.211
Teacher spread0.197 · 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

Quick stats

Citations6
Published2008
Admission routes1
Has abstractyes

Explore more

Same topicPower System Optimization and StabilityFrench-language works237,207