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Record W2554854773 · doi:10.1002/9781118694190.ch2

Solution Techniques for Electromagnetic Transients in Power Systems

2014· other· en· W2554854773 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

Venuenot available
Typeother
Languageen
FieldEngineering
TopicReal-time simulation and control systems
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsPower (physics)Electrical engineeringComputer sciencePhysicsEngineeringThermodynamics

Abstract

fetched live from OpenAlex

This chapter targets mainly off-line solution methods and tools. The objective is to provide an overview of off-line simulation tools and methods for the computation and analysis of electromagnetic transient (EMT). The chapter focuses on the most widely recognized and available groups of methods applied in industrial grade computer software packages. The initial application of EMT-type tools was the computation of overvoltages in power systems. The main modules of an EMT-type simulation tool are: graphical user interface (GUI), load-flow solution, steady-state solution, initialization: automatic or manual initial conditions, time-domain solution, and waveforms and outputs. These modules are described in the chapter. The simulation of control system dynamics is fundamental to the study of power system transients. The development of control system solution algorithms based on the block-diagram approach was initially triggered by the modelling of synchronous machine exciter systems.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.504
Threshold uncertainty score0.720

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 head0.004
GPT teacher head0.202
Teacher spread0.198 · 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

Quick stats

Citations10
Published2014
Admission routes1
Has abstractyes

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