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Record W2990745793 · doi:10.1109/ecce.2019.8913125

The Current Shaping Modular Multilevel DC/DC Converter with Current Doubling

2019· article· en· W2990745793 on OpenAlexaff
Philippe Gray, Peter W. Lehn

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTopology (electrical circuits)Current (fluid)Modular designForward converterElectronic engineeringĆuk converterVoltageControl theory (sociology)Computer scienceEngineeringElectrical engineeringBoost converterControl (management)

Abstract

fetched live from OpenAlex

In this paper, a modular multilevel dc/dc converter is proposed for high step-down DC applications. The converter consists of a single string of cascaded voltage source submodules (VSMs) and a current source submodule (CSM) of current doubler type. The converter is based on a recently proposed energy transfer mechanism whereby the CSM of the converter directs its current, through control action, to either the positive or negative terminal of the DC grid. Therefore, the CSM provides "shaping" of the current of the string. Due to the current doubling action by the CSM, the string current has an amplitude equal to approximately 1/2 the DC load current. This topology therefore offers improved current utilization of the VSMs as well as reduced VSM cell capacitances compared to that of the previously proposed topology based on this energy transfer mechanism. In this paper, the structure and operating principles of the converter are presented along with a steady-state circuit analysis. Simulation results are provided to validate the operation of the topology.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.244
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2019
Admission routes1
Has abstractyes

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