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Record W2071093815 · doi:10.1109/ias.2006.256526

Attenuation of Wind Power Fluctuations in Wind Turbine Generators using a DC Bus Capacitor Based Filtering Control Scheme

2006· article· en· W2071093815 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

VenueConference record · 2006
Typearticle
Languageen
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsMcGill University
Fundersnot available
KeywordsWind powerControl theory (sociology)TurbineRobustness (evolution)Wind speedCapacitorComputer scienceElectric power systemPower optimizerVoltageEngineeringPower (physics)Maximum power point trackingElectrical engineeringPhysicsControl (management)

Abstract

fetched live from OpenAlex

Wind energy is fluctuating. However, in wind turbine generators (WTGs), by allowing a certain amount of variations of the voltage on the bus, a dc bus capacitor is able to offer a power shaping ability, and can function as an energy storage system (ESS). This paper proposes a power fluctuation filtering algorithm, applied to the ESS to selectively and adequately attenuate the medium frequency wind power fluctuations. A medium-sized ESS produces a fairly smooth wind power output and ensures the WTG stability under severe wind fluctuations. The proposed algorithm is applied to a 2 MW permanent magnet synchronous machine (PMSM) WTG, simulated in an electromagnetic transients program. The fluctuations of both pre- and post-filtered wind powers are presented, and quantified in the different frequency regions. Simulation results confirm the effectiveness and robustness of the control algorithm

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
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 head0.015
GPT teacher head0.213
Teacher spread0.198 · 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