MétaCan
Menu
Back to cohort
Record W2734396874 · doi:10.1049/iet-pel.2017.0028

Nine‐switch ac/ac current source converter for microgrid application with model predictive control

2017· article· en· W2734396874 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.

Bibliographic record

VenueIET Power Electronics · 2017
Typearticle
Languageen
FieldEngineering
TopicMultilevel Inverters and Converters
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMicrogridModel predictive controlCurrent (fluid)Control theory (sociology)Control (management)Computer scienceElectrical engineeringEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

In this study, a current source nine‐switch ac/ac converter for microgrid application is presented. In contrast to traditional back‐to‐back configuration, the number of switching devices in the proposed converter decreases from 12 to 9 with three insulated gate bipolar transistors and three diodes reduced, which achieves simpler structure and lower cost on switching devices. In addition, in comparison with its voltage source counterparts, the proposed converter inherits the advantages of sinusoidal output voltage and current waveform and no use of dc‐link electrolytic capacitor. Moreover, a model predictive control (MPC) without weighting factor selection issue is designed for the proposed converter to realise both sides’ power flow regulation. Simulation and experiments have been conducted, which validate the effectiveness of the proposed converter and MPC scheme.

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 categoriesMeta-epidemiology (narrow)
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 score0.986
Threshold uncertainty score1.000

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 head0.222
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