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Record W1964176063 · doi:10.1109/apec.2014.6803376

A dual-active-bridge based bi-directional micro-inverter with integrated short-term Li-Ion ultra-capacitor storage and active power smoothing for modular PV systems

2014· article· en· W1964176063 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaOntario Centres of Excellence
KeywordsPhotovoltaic systemInverterEnergy storageModular designElectrical engineeringAutomotive engineeringBattery (electricity)CapacitorEngineeringComputer scienceRenewable energyMaximum power point trackingPower (physics)VoltagePhysics

Abstract

fetched live from OpenAlex

This work targets modular nanogrids for remote locations, where photovoltaic modules can be gradually introduced to grow the renewable energy capacity at minimal capital cost, while reducing diesel fuel consumption. Today's grid-tied micro-inverters provide a modular solution for ac power generation in nanogrids but battery storage remains centralized, requiring an additional ac-dc converter. The main contribution of this work is a new micro-inverter platform and control scheme with bidirectional power flow between the nanogrid, the photovoltaic module and integrated short-term storage, using new high energy-density Lithium-Ion Capacitor technology. A real-time power smoothing algorithm is also proposed and the performance of the new 100 W micro-inverter is experimentally verified under various closed-loop dynamic conditions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.779
Threshold uncertainty score0.933

Codex and Gemma teacher scores by category

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 science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.185
Teacher spread0.178 · 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

Quick stats

Citations23
Published2014
Admission routes2
Has abstractyes

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