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A Reduced Switch Multiport AC-DC Converter with Galvanically Isolated Auxiliary DC Port

2023· article· en· W4390416578 on OpenAlexaff
Asad Hameed, Gerry Moschopoulos

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsWestern University
Fundersnot available
KeywordsConvertersPort (circuit theory)Galvanic isolationForward converterPulse-width modulationFlyback converterElectrical engineeringModulation (music)Electronic engineeringĆuk converterVoltageBoost converterComputer scienceEngineeringPhysics

Abstract

fetched live from OpenAlex

In this paper, a new reduced switch multiport AC-DC converter with a galvanically isolated auxiliary DC port is proposed for hybrid microgrid applications. The proposed single-stage architecture is formed by merging a bidirectional four-switch three-phase AC-DC voltage source converter (VSC) with two dual active half-bridge (DAHB) DC-DC converters, the primary side switches of which are shared with the VSC. The proposed bidirectional multiport converter is able to manage the power flow among three ports by adjusting the modulation index of sinusoidal pulse width modulation (SPWM) and the phase-shift angle. The converter achieves power factor correction (PFC) at the AC Port and all its switches can achieve soft-switching in continuous conduction mode (CCM). The proposed converter's operation, control and analysis are presented in this paper. Experimental results from a prototype that confirm the converter's viability are shown as well.

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 score0.004
Threshold uncertainty score0.014

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.006
GPT teacher head0.191
Teacher spread0.185 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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