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Record W2534491839 · doi:10.1109/tencon.1993.320615

Catastrophe theory model of multimachine power systems for transient stability studies

2002· article· en· W2534491839 on OpenAlexaff
R. Parsi-Feraidoonian, Xian-Lin Sun, M.D. Wvong

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower System Optimization and Stability
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCatastrophe theoryElectric power systemTransient (computer programming)Control theory (sociology)Stability (learning theory)SwingBoundary (topology)Exponential stabilityComputer sciencePower (physics)MathematicsEngineeringPhysicsControl (management)Artificial intelligenceMathematical analysis

Abstract

fetched live from OpenAlex

A catastrophe theory model of interconnected multimachine power systems is proposed for the study of transient stability problems. The swing equations are put in the form of one of the elementary catastrophes-the swallowtail catastrophe. The manifold of the catastrophe defines the boundary between transient stability and instability in terms of three control variables, which are functions of the parameters and operating conditions of the power system. Thus stability is easily assessed from the system parameters and operating conditions; no solution of the swing equations is required. The catastrophe model is used to check the transient stability of the system by considering that one or more generators are critical. Results are given for the simplified WSCC system of three generators and for the seven-machine CIGRE system. The catastrophe theory results compare favourably with the time-solution results for the systems for the same three-phase short-circuit disturbances.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 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 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: none
Teacher disagreement score0.948
Threshold uncertainty score0.433

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 head0.056
GPT teacher head0.248
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, 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

Citations2
Published2002
Admission routes1
Has abstractyes

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