MétaCan
Menu
Back to cohort

A Novel Soft-Switched Three-Phase Three-Wire Isolated AC-DC Converter With Power Factor Correction

2022· article· en· W4280564589 on OpenAlexaff
Mojtaba Forouzesh, Yan‐Fei Liu, Paresh C. Sen

Bibliographic record

Venue2022 IEEE Applied Power Electronics Conference and Exposition (APEC) · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsQueen's University
Fundersnot available
KeywordsRectifier (neural networks)Power factorBoost converterRippleForward converterCapacitorFlyback converterĆuk converterThree-phaseElectronic engineeringVoltageElectrical engineeringComputer scienceControl theory (sociology)Engineering

Abstract

fetched live from OpenAlex

A novel isolated AC-DC converter for three-phase three-wire systems is proposed in this paper. The proposed rectifier has a phase modular design, and the input side of the three-phase modules are connected in a Wye (Y) shape creating a virtual ground that allows true three-phase systems to be connected to the proposed AC-DC converter. Moreover, the proposed rectifier is based on the single-stage LLC resonant converter modules and has almost no switching loss due to the zero voltage and current switching performance for all the switching devices. Furthermore, no bulky DC-link E-capacitor is needed in the proposed rectifier and the output capacitor is also small due to canceled low-frequency ripple at the output. Hence, the proposed AC-DC converter is suitable for applications that demand high power density with high efficiency. Principles of operation, analysis, and design considerations for two different output voltage levels are discussed in the paper. Simulation results for two different output voltage levels verified soft-switching, power factor correction, and output voltage regulation. Furthermore, the validity of the proposed three-phase three-wire AC-DC converter is verified through the experimental results of a scaled-down hardware prototype with a unity power factor performance (>0.99) and maximum efficiency of 96.8%.

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), Insufficient payload (model declined to judge)
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 score0.939
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
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)0.0020.000

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 head0.008
GPT teacher head0.207
Teacher spread0.199 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venue2022 IEEE Applied Power Electronics Conference and Exposition (APEC)Same topicAdvanced DC-DC ConvertersFrench-language works237,207