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Record W2461611690 · doi:10.1049/iet-rpg.2016.0252

Wind power plants grid code compliance tests – Hydro‐Québec TransÉnergie experience

2016· article· en· W2461611690 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIET Renewable Power Generation · 2016
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsGrid codeWind powerPower gridGridCompliance (psychology)Environmental scienceComputer scienceNuclear engineeringPower (physics)Marine engineeringElectrical engineeringPhysicsEngineeringAC powerGeologyPsychology

Abstract

fetched live from OpenAlex

This study presents the Hydro‐Québec TransÉnergie experience regarding the grid code compliance tests that have been performed for the integration of wind power plants using type‐III and type‐IV technologies. Tests discussed in this study were conducted in two phases: validation of the performance requirements for each project and type tests on a single wind turbine generator for each technology involved. The study presents examples of results for each test module and measurements from online monitoring. Technical challenges are discussed and performance issues that were raised through the process are explained.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score1.000

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 head0.025
GPT teacher head0.234
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