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Record W2074189548 · doi:10.1109/tla.2004.1468630

Effects of the SVC and the STATCOM on Damping Power Systems Low Frequency Electromechanical Oscillations

2004· article· en· W2074189548 on OpenAlexaff
Alexandre B. Nassif, V.F. da Costa, L.C.P da Silva

Bibliographic record

VenueIEEE Latin America Transactions · 2004
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsStatic VAR compensatorControl theory (sociology)Electric power systemTransmission lineElectric power transmissionBifurcationFlexible AC transmission systemAC powerPower (physics)Eigenvalues and eigenvectorsGenerator (circuit theory)EngineeringPermanent magnet synchronous generatorComputer sciencePhysicsVoltageNonlinear systemPower flowElectrical engineeringControl (management)

Abstract

fetched live from OpenAlex

This work investigates the effects of two FACTS (Flexible AC Transmission Systems) devices, the SVC (Static Var Compensator) and the STATCOM (Static Synchronous Compensator), in power systems small-signal angle stability. This investigation is carried out to a single generator connected to an infinite bus via a loss-less transmission line. The study is based in the investigation of the critical eigenvalues of the power system linearized model in the framework of the bifurcation theory. The presented simulation results allow a comparative analysis of the effects of these two controllers in damping power systems low frequency electromechanical oscillations.

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)0.002
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.003
GPT teacher head0.181
Teacher spread0.177 · 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

Citations9
Published2004
Admission routes1
Has abstractyes

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