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Record W2101093329 · doi:10.1109/pesw.2002.985103

Dual configuration, dual setting, digital power system stabilizer-simulation and tuning experience at Manitoba Hydro

2003· article· en· W2101093329 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venue2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309) · 2003
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsManitoba Hydro
Fundersnot available
KeywordsStabilizer (aeronautics)Electric power systemControl theory (sociology)Dual (grammatical number)TorquePower (physics)Computer scienceModulation (music)Transmission (telecommunications)EngineeringControl engineeringElectrical engineeringPhysicsMechanical engineeringControl (management)Acoustics

Abstract

fetched live from OpenAlex

This paper describes a digital power system stabilizer which can automatically switch between two different sets of settings and operate as an electric power input type and an integral-of-accelerating power input type. The requirements for such a stabilizer along with techniques to facilitate its implementation on two hydraulic units which are switchable between an isolated AC system feeding an HVDC double bipole and a parallel, relatively weak, 230 and 138 kV AC transmission system, is provided. Stabilizer tuning based on load modulation is presented. Results from eigenvalue analysis and dynamic stability studies demonstrate the effectiveness of this stabilizer in damping both inter-area and inter-plant electromechanical modes, as well as reducing the undesirable effects of low gate mechanical torque 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.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.697
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.010
GPT teacher head0.205
Teacher spread0.195 · 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