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Record W1969063657 · doi:10.1109/epec.2013.6802934

Control system for hybrid wind diesel based microgrid

2013· article· en· W1969063657 on OpenAlexaff
Vigneshwaran Rajasekaran, Adel Merabet, Hussein Ibrahim, Rachid Beguenane, J. S. Thongam

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsRoyal Military College of CanadaSaint Mary's University
Fundersnot available
KeywordsMicrogridDiesel generatorMaximum power point trackingControl theory (sociology)Wind powerPower optimizerTurbinePermanent magnet synchronous generatorMaximum power principleAutomotive engineeringPower controlEngineeringElectric power systemControl systemComputer sciencePower (physics)Diesel fuelVoltageInverterElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

Control system developed for hybrid wind diesel system (HWDS) based microgrid is presented. The hybrid system consists of six double fed induction generator (DFIG) based wind turbine generation system, a diesel generation system with synchronous machine and electrical power grid supply. Control system developed for both rotor side and grid side power converter is simulated. A maximum power point tracking (MPPT) control system is developed and simulated for rotor side power converter to track the optimum speed for achieving maximum power extraction from available wind. Vector control based voltage regulation system is developed and simulated for grid side power converter. A dynamic model of HWDS is developed to study the system operating behavior under isolated wind diesel mode and grid connected mode. The complete HWDS is modeled and simulated in MATLAB Simulink environment. Simulation results to validate the performance of developed control system are presented.

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 score0.825
Threshold uncertainty score0.689

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)0.0000.001

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 head0.004
GPT teacher head0.162
Teacher spread0.158 · 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
Published2013
Admission routes1
Has abstractyes

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