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Record W1781117921

Power Quality Estimation in a Remote Wind-Diesel Hybrid Power System in Cartwright, Labrador

2011· article· en· W1781117921 on OpenAlexafffundabout
Sheikh Mominul Islam, M. Tariq Iqbal

Bibliographic record

VenueDergiPark (Istanbul University) · 2011
Typearticle
Languageen
FieldEnergy
TopicHybrid Renewable Energy Systems
Canadian institutionsMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWind powerTurbineDiesel fuelRenewable energyAutomotive engineeringEnvironmental scienceElectricitySmall wind turbineStand-alone power systemWind hybrid power systemsMarine engineeringElectricity generationElectric power systemDistributed generationPower (physics)EngineeringElectrical engineeringGrid energy storageAerospace engineering
DOInot available

Abstract

fetched live from OpenAlex

Generation of electricity using diesel is costly for small remote isolated communities. At remote location electricity generation from renewable energy such as wind can help reduce the overall operating costs by reducing the fuel costs. Siting of wind turbines connected to diesel in a remote location effects wind penetration and power quality. In this paper we study how the location of a wind turbine effects the voltage in a remote wind-diesel system. We selected an isolated diesel system in Cartwright, Labrador, Canada. Four possible sites for a wind turbine are selected and for all four cases we study the voltage and frequency variations in the system due to addition of a wind turbine. Hybrid power system modeling and simulation results are presented in the paper. Results will be used to finalize the most suitable location of the wind turbine.Keywords: Hybrid, Attenuation.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.016
GPT teacher head0.211
Teacher spread0.195 · 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.

Study designTheoretical or conceptual
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

Citations1
Published2011
Admission routes3
Has abstractyes

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