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Record W3217464753 · doi:10.1109/jestie.2021.3130473

A High Voltage Gain Isolated PV Micro-Converter With a Single-Voltage Maximum Power Point Tracking Control Loop for DC Micro-Grid Systems

2021· article· en· W3217464753 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 Journal of Emerging and Selected Topics in Industrial Electronics · 2021
Typearticle
Languageen
FieldEnergy
TopicPhotovoltaic System Optimization Techniques
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBoost converterMaximum power point trackingĆuk converterBuck–boost converterInductorBuck converterMicrogridIntegrating ADCForward converterCapacitorVoltageFlyback converterControl theory (sociology)Electronic engineeringComputer scienceEngineeringElectrical engineeringControl (management)Inverter

Abstract

fetched live from OpenAlex

A high voltage gain, isolated high frequency Photo-voltaic (PV) microconverter with natural continuous conduction mode (CCM) input current and a wide range of zero voltage switching operation is proposed for use in dc microgrid systems. The proposed converter consists of an integrated CCM boost converter and a capacitor inductor inductor (CLL) step-up resonant converter. Further, a new single voltage loop based maximum power point tracking (MPPT) control technique that utilizes the converter's resonant capacitor voltage is also proposed. Theoretical analysis and operating principles of the proposed converter, as well as the descriptions of the proposed MPPT control scheme are provided. Results on a 220 W, 230 kHz and 380 V-output hardware prototype are presented to demonstrate the performance of the proposed step-up PV converter.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.233
Teacher spread0.216 · 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