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Record W4285058159 · doi:10.1109/tpel.2022.3189882

A Dual-MMC Chain-Link Structure for Multifrequency Power Transfer

2022· article· en· W4285058159 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2022
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsStantec (Canada)University of Alberta
FundersCanada First Research Excellence Fund
KeywordsTransformerMaximum power transfer theoremElectromagnetic coilForward converterCapacitorModular designElectrical engineeringEngineeringElectronic engineeringTopology (electrical circuits)VoltageComputer scienceControl theory (sociology)Power (physics)Boost converterPhysicsControl (management)

Abstract

fetched live from OpenAlex

A dual-modular-multilevel-converter (MMC) structure is presented that allows multifrequency power transfer between its ports. By exploiting a three-winding transformer, where the converter-side windings can multitask by accommodating currents with multiple frequency components, the proposed MMC structure can be deployed for two different applications: 1) a dc–ac MMC with independent control of currents in the two dc poles to accommodate unbalanced conditions in bipolar dc systems, and 2) a three-port MMC that can achieve simultaneous dc–dc and dc–ac conversions between an ac grid and two dc systems. DC flux cancellation is imposed in the transformer core by using a center-tapped connection of the converter-side windings. A unified control scheme is developed that independently controls dc and ac terminal power transfers while keeping submodule capacitor voltages balanced. Converter operation and dynamic controls are validated by simulation and experiment.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.209
Teacher spread0.203 · 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