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Record W2056081548 · doi:10.1109/tpwrd.2007.899609

Dynamic Model of a Space Vector Modulated Matrix Converter

2007· article· en· W2056081548 on OpenAlex
Fang Gao, Mohammad Reza Iravani

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 · 2007
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGridControl theory (sociology)Computer scienceSpace vector modulationMatrix (chemical analysis)Electronic engineeringEngineeringPulse-width modulationMathematicsElectrical engineeringVoltage

Abstract

fetched live from OpenAlex

This paper presents a novel dynamic model of a matrix converter (MC) that utilizes a space vector modulation (SVM) switching method. The MC is intended as the interface medium between a distributed resource (DR) unit, e.g., a micro-turbine-generator, and the utility grid. The MC model is developed in the direct- and quadrature-axis reference frame to be consistent with the utility grid model for dynamic studies. The model can be used for investigation of large signal transients as well as small signal dynamics. The accuracy of the model is validated by comparing the study results obtained from the developed model with those from the exact switched-model of the MC in the PSCAD/EMTDC environment.

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 score0.728
Threshold uncertainty score0.974

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 head0.009
GPT teacher head0.216
Teacher spread0.207 · 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