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Record W2091118123 · doi:10.1109/iecon.2012.6389197

Control of grid-side inverter for isolated wind-diesel power plants using variable speed squirrel cage induction generator

2012· article· en· W2091118123 on OpenAlexaff
Tommy A. Theubou, R. Wamkeue, Innocent Kamwa

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsHydro-QuébecUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsInverterControl theory (sociology)Induction generatorDiesel generatorWind powerGridAC powerComputer scienceSquirrel-cage rotorController (irrigation)EngineeringVoltageControl engineeringAutomotive engineeringElectrical engineeringInduction motorDiesel fuelControl (management)

Abstract

fetched live from OpenAlex

This paper is a step towards the dynamic modelling and control of complete wind/diesel generation system for islanded areas. It mainly focuses on the control strategy of the grid-side inverter usually used in variable speed wind turbines connected in cogeneration schemes. The considered conversion system is equipped with a geared squirrel cage induction generator (SCIG). The developed control strategy is based on the voltage oriented control (VOC) of a 3-phase inverter connected to a weak grid. The controller's PI regulators are designed using the classical direct synthesis approach and cascade control loops technique in the synchronous dq- reference frame. A grid voltage regulation loop, widely used in D-STATCOM systems is designed to add the automatic reactive power management feature to the inverter. Various simulation results using Matlab/Simulink <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> software for different system's contingencies such as sudden step changes of the wind power are presented. The reactions of the system to step changes in grid voltage, due to the small size of the considered grid, are also presented and extensively discussed.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.676
Threshold uncertainty score0.575

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 head0.013
GPT teacher head0.203
Teacher spread0.190 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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