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Record W4298707587 · doi:10.1109/tpwrd.2022.3197243

Detailed EMT-Type Load Modeling for Power System Dynamic and Harmonic Studies

2022· article· en· W4298707587 on OpenAlexaff
Maryam Torabi Milani, B. Khodabakhchian, Jean Mahseredjian

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicLightning and Electromagnetic Phenomena
Canadian institutionsHydro-QuébecPolytechnique Montréal
Fundersnot available
KeywordsHarmonicTransient (computer programming)Harmonic analysisElectric power systemComponent (thermodynamics)Electrical impedanceElectronic engineeringEngineeringPower system simulationDynamic load testingField (mathematics)Power (physics)Computer scienceElectrical engineeringStructural engineeringAcousticsPhysicsMathematics

Abstract

fetched live from OpenAlex

The aim of this paper is to develop a detailed model and investigate its importance for capturing load behavior in both dynamic and harmonic simulations. A detailed electromagnetic transient (EMT) type model of a mixed residential-commercial load is developed using a component-based technique, and its dynamic characteristic is validated against existing field measurements. The model is subsequently used to study the harmonic impedance of an existing underground distribution network. Errors caused by model inadequacies are also studied in both dynamic and harmonic case studies.

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: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.804

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 studies0.0010.000
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 head0.016
GPT teacher head0.240
Teacher spread0.225 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

Explore more

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