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Record W2050836254 · doi:10.1002/etep.313

A novel hybrid active filter compensator for stabilization of wind‐utility grid interface scheme

2008· article· en· W2050836254 on OpenAlexaff
A.Μ. Sharaf, W. Wang, İsmail H. Altaș

Bibliographic record

VenueEuropean Transactions on Electrical Power · 2008
Typearticle
Languageen
FieldEngineering
TopicPower System Reliability and Maintenance
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsControl theory (sociology)AC powerCompensation (psychology)Active filterController (irrigation)HarmonicWind powerVoltageComputer scienceFilter (signal processing)GridActive power filterElectronic engineeringEngineeringElectrical engineeringControl (management)PhysicsMathematicsAcoustics

Abstract

fetched live from OpenAlex

Abstract This paper presents a novel voltage source converter (VSC)‐based hybrid power filter compensator (HPFC) scheme for effective reactive power compensation and harmonic reduction in distribution grid networks with the dispersed wind energy interface. A novel multi‐loop dynamic error‐driven controller equipped with an auxiliary DC‐side voltage tracking loop is introduced to ensure a robust and fast control of the HPFC. Based on digital simulations, the effectiveness of the proposed HPFC scheme is fully validated in a unified sample wind‐energy embedded distribution system under wind velocity excursions and electric load disturbances. The dynamic performance of the HPFC is compared with that of the conventional active power filter (APF) and that of the passive power filter (PPF), respectively. Copyright © 2008 John Wiley & Sons, Ltd.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.215
Teacher spread0.197 · 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 designSimulation or modeling
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

Citations24
Published2008
Admission routes1
Has abstractyes

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