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Record W2470186343 · doi:10.1049/iet-rpg.2016.0258

TSO experience with voltage control from wind power plants

2016· article· en· W2470186343 on OpenAlexaffabout
Charles‐Éric Langlois

Bibliographic record

VenueIET Renewable Power Generation · 2016
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsWind powerVoltageElectrical engineeringControl (management)Computer scienceEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

Modern wind power plants (WPPs) are equipped with sophisticated controllers that allow various schemes to be used by manufacturers to meet grid code requirements. This includes active and reactive power controls as well as voltage control. Voltage control can be achieved in a number of different ways to satisfy the different grid codes, but also the project specific needs. Hydro‐Québec TransÉnergie (HQT) has performed numerous dynamic studies related to the integration of WPPs and optimisation of their control schemes including voltage control. This study presents the HQT experience with various voltage control issues including tuning of the WPP controller and study cases of angle and voltage stability issues.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.002

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 head0.008
GPT teacher head0.185
Teacher spread0.177 · 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 designNot applicable
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
Published2016
Admission routes2
Has abstractyes

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