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Record W2159168992 · doi:10.1109/tpwrd.2008.2002964

Rotary Power-Flow Controller for Dynamic Performance Evaluation—Part I: RPFC Modeling

2009· article· en· W2159168992 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2009
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsHydro-Québec
FundersPolytechnique Montréal
KeywordsTransformerElectromagnetic coilEngineeringQuadrature boosterControl theory (sociology)MATLABStatorElectrical engineeringElectrical impedanceVoltageElectronic engineeringDistribution transformerComputer science

Abstract

fetched live from OpenAlex

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper (Part I) presents a model suitable for the performance analysis of a rotary power-flow controller (RPFC), which operates in a two-lines power system corridor. The RPFC consists of two transformers (one series and one shunt), and two rotary phase-shifting transformers operating in standstill. The shunt and series transformers and the two rotary phase-shifting transformers are represented by the conventional equivalent circuit of a two-winding transformer. The rotor windings of these rotary phase-shifting transformers are connected in parallel while their stator windings are in series. The resulting equipment is the RPFC whose macroscopic model is proposed. The model involves a series branch consisting of an adjustable voltage source (with its internal impedance) and a shunt branch consisting of a current source. The obtained RPFC model with the regulators, implemented in SPS/Matlab, is used for further simulations in Part II. </para>

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.909
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 head0.228
Teacher spread0.214 · 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