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Record W1967458185 · doi:10.1109/apec.2014.6803757

Micro grid based PMSG feeding isolated loads

2014· article· en· W1967458185 on OpenAlexafffund
Ab. Hamadi, S. Rahmani, Kamal Al‐Haddad, Khaled E. Addoweesh

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsÉcole de Technologie Supérieure
FundersAgence Universitaire de la FrancophonieCanada Research Chairs
KeywordsMaximum power point trackingPermanent magnet synchronous generatorWind powerControl theory (sociology)Rectifier (neural networks)Power optimizerTurbineVoltageAC powerVariable speed wind turbineComputer scienceMaximum power principleBoost converterEngineeringInverterElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This paper deals with design and control of a connected wind energy generation system employing a Permanent Magnet Synchronous Generator (PMSG) driven by a variable speed wind turbine feeding single-phase loads. The proposed energy conversion system makes use of asymmetric NPC five level inverter. The dc terminal of the generator connected rectifier is tied to a boost converter for Maximum Power Point Tracking (MPPT) operation. An energy storage device is used to absorb the excess power generated from the wind turbine, and also to regulate the dc bus voltage. A pitch angle control is integrated to reduce the power generated from the wind when the battery SOC reaches 90%. The output voltage is tracked to its reference voltage in order to feed ac local loads. The proposed system is modeled and simulated using Simulink/Simpower of Matlab. The performance of the proposed system is presented, MPPT capability, dc and ac voltage regulation are also demonstrated.

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 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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score0.406

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 head0.003
GPT teacher head0.153
Teacher spread0.151 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations6
Published2014
Admission routes2
Has abstractyes

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