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Record W2048456531 · doi:10.1049/ip-cta:20040336

Stability analysis of radial power systems: a passivity approach

2004· article· en· W2048456531 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.

Bibliographic record

VenueIEE Proceedings - Control Theory and Applications · 2004
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsBC Hydro (Canada)Université du Québec à Trois-Rivières
Fundersnot available
KeywordsPassivityControl theory (sociology)Stability (learning theory)Electric power systemProperty (philosophy)Constraint (computer-aided design)Power (physics)Computer scienceComponent (thermodynamics)MathematicsEngineeringControl (management)Physics

Abstract

fetched live from OpenAlex

A passivity approach is presented that acts as a framework for the analysis of the stability of power systems and allows the derivation of controllers. A radial power system is decomposed according to the component oriented modelling technique (COMT). The whole system is thus modelled as a feedback subsystem decomposition suitable for the application of the passivity approach. Under the assumption of a passive or a passified load, L2-stability properties are obtained when disturbances occur in the network. Once disturbances are cleared an asymptotic stability property is derived. In the case of non-passivity of certain loads or series elements located in the network and when an energy-like constraint is satisfied, ultimate boundedness properties are obtained with a quasi-passivity concept.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.198
Teacher spread0.192 · 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