MétaCan
Menu
Back to cohort
Record W2122928046 · doi:10.1109/pesc.2000.879943

C-UPFC: a new FACTS controller with 4 degrees of freedom

2002· article· en· W2122928046 on OpenAlexaff
B.T. Ooi, Bin Lu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsMcGill University
Fundersnot available
KeywordsUnified power flow controllerConvertersControl theory (sociology)VoltageShunt (medical)Transmission lineAC powerMaximum power transfer theoremElectric power transmissionElectric power systemController (irrigation)EngineeringPower flowPower (physics)Computer scienceElectrical engineeringPhysicsControl (management)

Abstract

fetched live from OpenAlex

FACTS controllers based on voltage-source converters have inherent voltage support so that they can be sited roughly halfway in the middle of the radial transmission line, where they are more effective since the length of the line becomes virtually shorter by half and the transmissibility of power is doubled. The center-node unified power flow controller or C-UPFC has been conceived for mid-point siting and is provided with 4 control degrees of freedom which are used to control: (1) the real power through the line, (2) (3) the reactive powers at both ends of the line and (4) the magnitude of the AC voltage at the mid-point. The C-UPFC has two series converters and one shunt converter. The real AC power which is rectified by one series converter emerges as inverted power by the other series converter via their DC link. The shunt converter operates exclusively as a STATCOM.

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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.175
Teacher spread0.160 · 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

Citations7
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicPower System Optimization and StabilityFrench-language works237,207