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Record W3008543758 · doi:10.1109/tpel.2020.2974207

A Single-Switch High-Gain PV Microconverter With Low-Switch-Voltage-to-High-Voltage-Bus Ratio

2020· article· en· W3008543758 on OpenAlexaff
Kajanan Kanathipan, Reza Emamalipour, John Lam

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsYork University
Fundersnot available
KeywordsInductorVoltageVoltage dividerElectrical engineeringCapacitorTopology (electrical circuits)CapacitanceEngineeringElectronic engineeringPhysics

Abstract

fetched live from OpenAlex

A new soft-switched, single-switch electrolytic capacitor-less step-up dc/dc microconverter for photovoltaic applications is presented in this article. The proposed circuit is an improved coupled-magnetics based single-switch topology that has low-voltage stress across the switch compared to the high voltage dc bus level (380-400 V). The proposed circuit is able to achieve zero voltage switching turn-on and zero current switching turn-off for the switch. Since the input inductor in the proposed circuit operates in continuous conduction mode, the required input filter capacitance is reduced and hence, allows for the small-size nonelectrolytic capacitor to be used. The main advantage of the proposed circuit is that it is able to achieve high voltage gain while the ratio between the peak switch voltage and the output dc-bus voltage is reduced compared to other coupled-inductor based topologies. In addition, the proposed converter is able to achieve maximum power point tracking through variable switching frequency control. Results are provided on a 40-V/380-V, 200-W system to highlight the merits of the proposed circuit.

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 score0.012

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 science0.0020.000
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 head0.005
GPT teacher head0.185
Teacher spread0.180 · 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

Citations18
Published2020
Admission routes1
Has abstractyes

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Same venueIEEE Transactions on Power ElectronicsSame topicAdvanced DC-DC ConvertersFrench-language works237,207