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Record W2110033632 · doi:10.1109/lescpe.2007.4437357

Adaptive Interfacing Control Strategy for Electricity Generations from Wind Power to Distribution Grids

2007· article· en· W2110033632 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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIslanding Detection in Power Systems
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInterfacingWind powerInduction generatorController (irrigation)Computer scienceRenewable energyControl engineeringDistributed generationMicrogridControl theory (sociology)EngineeringElectrical engineeringControl (management)Computer hardware

Abstract

fetched live from OpenAlex

Recently electricity generation from wind power has been increasingly popular worldwide as one of the most promising renewable energy sources. This paper proposes an adaptive control strategy for interfacing distributed generations (DGs) from wind power to utility distribution grids. This paper presents the voltage control requirements and protection requirements for wind-powered DGs according to IEEE-1547 standards. This paper defines adaptive interfacing controller for three common types of wind-powered DGs: doubly fed induction generator, permanent-magnet synchronous generator, and squirrel-cage induction generator. The design of the adaptive controller using state-of-the-art digital signal processing technology is presented. The key functions of the hardware components in the adaptive controller are provided.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.816
Threshold uncertainty score0.523

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 head0.013
GPT teacher head0.234
Teacher spread0.221 · 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

Quick stats

Citations4
Published2007
Admission routes1
Has abstractyes

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