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Record W1999294732 · doi:10.1109/tpwrd.2015.2394357

A Filtering Scheme to Reduce the Penetration of Harmonics into Transmission Systems

2015· article· en· W1999294732 on OpenAlex
Tianyu Ding, Wilsun Xu

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2015
Typearticle
Languageen
FieldEngineering
TopicPower Quality and Harmonics
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHarmonicsHarmonic analysisElectronic engineeringTransformerElectrical impedanceElectric power systemElectric power transmissionHarmonicEngineeringComputer scienceTopology (electrical circuits)Control theory (sociology)VoltageElectrical engineeringAcousticsPhysicsPower (physics)

Abstract

fetched live from OpenAlex

The widespread adoption of energy efficient but harmonic-producing loads in residential homes has led to increased injection of harmonic currents into transmission systems. In response to this situation, a novel filtering scheme that can reduce the harmonic penetration into transmission systems is proposed. The scheme utilizes the tertiary winding of a substation transformer to construct a tuned low-impedance path for the harmonic currents. The proposed scheme is capable of trapping two zero-sequence harmonics and three nonzero-sequence harmonics simultaneously. A design procedure has been developed. Performance of the scheme is evaluated and demonstrated through simulation studies. In addition, economic analysis reveals that the scheme is a cost-effective solution in comparison with other applicable methods.

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 score0.734
Threshold uncertainty score0.588

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 head0.045
GPT teacher head0.258
Teacher spread0.213 · 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