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Record W4409129952 · doi:10.1109/tpwrd.2025.3551546

Comprehensive Full-Scale Converter Wind Park Initialization for Electromagnetic Transient Studies

2025· article· en· W4409129952 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 Power Delivery · 2025
Typearticle
Languageen
FieldEngineering
TopicHigh-Voltage Power Transmission Systems
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsTransient (computer programming)InitializationWind powerScale (ratio)Electrical engineeringTransient analysisEngineeringMarine engineeringComputer scienceAerospace engineeringTransient responsePhysics

Abstract

fetched live from OpenAlex

This paper proposes a comprehensive method for initializing the electromagnetic transient models of full-scale converter wind parks. The method uses the ac load-flow solution to initialize the mechanical model, the electrical components, the machine, the converter and the control systems. The effectiveness of the method is demonstrated through EMT simulations of three different power system benchmarks: an aggregated WP connected to a small transmission grid, a detailed WP model with wind turbines connected to a small transmission grid, and a large-scale transmission grid with ten different aggregated WPs. The results show that the proposed method reduces computing times required to reach steady-state and consequently accelerates overall simulations.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score1.000

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 head0.017
GPT teacher head0.256
Teacher spread0.238 · 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