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Record W2100900237 · doi:10.1109/tcsi.2010.2043992

Shifted-Frequency Analysis for EMTP Simulation of Power-System Dynamics

2010· article· en· W2100900237 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

VenueIEEE Transactions on Circuits and Systems I Regular Papers · 2010
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhasorEmtpElectric power systemTime domainComputer scienceComputationFrequency domainWaveformControl theory (sociology)Dynamic simulationPower system simulationPower (physics)System dynamicsSimulationAlgorithmTelecommunicationsPhysics

Abstract

fetched live from OpenAlex

Traditional power-system dynamic simulation tools make a number of simplifying assumptions to speed up computations; thus, they can only capture snapshots of the system operation, ignoring the dynamics between states. This paper applies the shifted-frequency-analysis (SFA) theory to the Electromagnetic Transients Program (EMTP) simulator in order to efficiently obtain the time-domain simulation results in the neighborhood of the fundamental frequency without making quasi-steady-state or other simplifying assumptions. The SFA-based EMTP simulator can provide dynamic-phasor results that accurately trace the evolution of the system state in three-phase power systems. Dynamic phasors provide envelopes of the time-domain waveforms and can be accurately transformed back to instantaneous time values. Test cases have verified the usefulness of the SFA-based dynamic simulation method.

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)0.000
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 score0.794
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.009
GPT teacher head0.215
Teacher spread0.205 · 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