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Record W4387415174 · doi:10.1109/tpwrd.2023.3322398

Modular Multilevel Converter With Multitasking Magnetics for AC/AC Power Conversion

2023· article· en· W4387415174 on OpenAlexafffund
Shehan Herathge, Anjana Wijesekera, Yuan Li, Gregory J. Kish

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2023
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanada First Research Excellence Fund
KeywordsTransformerElectromagnetic coilModular designTopology (electrical circuits)Electronic engineeringCapacitorMaximum power transfer theoremEngineeringElectrical engineeringVoltageComputer scienceControl theory (sociology)Power (physics)Physics

Abstract

fetched live from OpenAlex

This article presents an AC/AC MMC topology with integrated transformer that provides an overall voltage boosting effect beyond that enabled by the transformer turns ratio alone. The proposed three-phase topology also has a simple structure characterized by only six arms and can achieve a low total semiconductor effort. It is thus well suited for applications where higher AC voltage step ratios are needed. These salient features are enabled by a novel power transfer mechanism where the converter-side transformer windings are multitasked to carry current with multiple frequency components, while the core is rated only for a single AC frequency flux similar to conventional power systems transformers. A control strategy based on the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$dq$</tex-math></inline-formula> reference frame is developed that exploits decoupled control of differential mode and common mode currents in the phase arms. The converter's performance is studied under different scenarios using simulations, including fixed frequency and variable frequency operation. A scaled-down 208/104 V, 1 kW three-phase laboratory prototype is employed to further validate the converter operating principle through a series of experiments.

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow)
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 score0.741
Threshold uncertainty score1.000

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 head0.013
GPT teacher head0.206
Teacher spread0.194 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

Explore more

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