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Record W2082757290 · doi:10.1049/iet-rpg:20060008

High-performance voltage control scheme for wind park integration

2007· article· en· W2082757290 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.

Bibliographic record

VenueIET Renewable Power Generation · 2007
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsMcGill University
Fundersnot available
KeywordsDecoupling (probability)Control theory (sociology)Voltage controllerAC powerVoltageController (irrigation)Voltage regulationInduction generatorVoltage regulatorWind powerEngineeringCompensation (psychology)Voltage optimisationComputer scienceVoltage droopControl engineeringControl (management)Electrical engineering

Abstract

fetched live from OpenAlex

The design and implementation of a new control scheme for reactive power compensation and voltage regulation in the transmission system, as provided and controlled by a wind park is presented. It proposes an optimal tracking secondary voltage control scheme applied to doubly fed induction generator-based wind generators. The ability of the controller to regulate transmission network voltage profiles is demonstrated and compared with primary voltage control, an alternate secondary voltage control approach, and the voltage profile obtained from optimal power flow analysis. The dynamic performance of the controller is also validated in response to system contingencies, namely short circuits. The impact of communication time delays and of the short-circuit ratio on the dynamic performance of the voltage controller are considered. Results show that the controller properly regulates the voltage in steady state and performs properly during transients resulting from short circuits. Decoupling between primary and secondary loops should be applied to mitigate the effects of the time delay.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.518
Threshold uncertainty score0.887

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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