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Record W1936585148 · doi:10.1002/jnm.1874

Contribution of small‐scale wind generation to primary frequency control

2012· article· en· W1936585148 on OpenAlexaboutno aff
Abdelnasser Nafeh, Adel Hamad Rafa

Bibliographic record

VenueInternational Journal of Numerical Modelling Electronic Networks Devices and Fields · 2012
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsnot available
Fundersnot available
KeywordsAutomatic frequency controlWind powerElectric power systemGridController (irrigation)Penetration (warfare)Scale (ratio)Power gridEnvironmental scienceEngineeringElectrical engineeringControl theory (sociology)Automotive engineeringMarine engineeringComputer sciencePower (physics)Control (management)PhysicsOperations researchGeography

Abstract

fetched live from OpenAlex

SUMMARY The connection of small‐scale embedded generation to the grid may influence the frequency and voltage stability of the power system. A load‐frequency control technique for systems with high penetration of small‐scale wind generation is proposed. The proposed controller has been successfully implemented and tested using PSCAD/EMTDC (PSCAD Power System Simulation, HVDC Research Centre, Manitoba, Canada). In this study, the impact of small‐scale wind turbines on frequency stability of the system is studied in detail. This study shows that large penetration of small‐scale wind turbines with load and frequency has a significant impact on the stability and security level of electrical network. Copyright © 2012 John Wiley & Sons, Ltd.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.009
GPT teacher head0.218
Teacher spread0.208 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2012
Admission routes1
Has abstractyes

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