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Record W2889196478 · doi:10.23919/pscc.2018.8442806

Transient Stability Analysis Using Shifted Frequency Analysis (SFA)

2018· article· en· W2889196478 on OpenAlexaff
Andrea T.J. Martí, Juri Jatskevich

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Health Monitoring Techniques
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTransient analysisStability (learning theory)Transient (computer programming)Frequency analysisComputer scienceTransient responseEngineeringAlgorithmElectrical engineering

Abstract

fetched live from OpenAlex

In traditional power systems, the large mechanical inertia of the synchronous generators maintains the system frequency close to 60 Hz. Traditional transient stability programs solve the electrical network at 60 Hz and also use this frequency to convert between power and torque. Currently, however, with the large proliferation of alternative energy sources, larger frequency deviations are often encountered. This paper applies the Shifted Frequency Analysis (SFA) method to transient stability studies. SFA is based on an EMTP discretization of time-varying phasors, which results in the correct electrical frequency for the network admittances. Also, the correct machine velocity is used for the electromechanical equations. Test cases are presented using a classical 3-Bus system and the larger IEEE 39-Bus test system. The results with SFA are very close to the detailed EMTP solution compared to the traditional solution, while using integration steps similar to those of traditional transient stability software.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.312
Teacher spread0.274 · 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 designObservational
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

Citations7
Published2018
Admission routes1
Has abstractyes

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