MétaCan
Menu
Back to cohort

Quantitative Evaluation of Minimum Technical Requirements for Synthetic Inertia

2025· article· W4416963324 on OpenAlexaboutno aff
Ye-Chan Kim, Seung-Ho Song

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicWind Turbine Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsTrippingWind powerTurbineInertiaControl theory (sociology)Stability (learning theory)Rotor (electric)Wind speed

Abstract

fetched live from OpenAlex

This study quantitatively analyzes the impact of synthetic inertia requirements, as defined by major transmission system operators in Canada and Northern Europe, on the system frequency and rotor speed stability of wind turbine. Based on the minimum technical requirements specified by Saskatchewan in Canada and ENTSO-E Nordic, synthetic inertia schemes were implemented and applied to a wind farm composed of multiple NREL 5MW wind turbines connected to the IEEE 14-bus power system. A frequency disturbance scenario was simulated by tripping a synchronous generator, and six cases were evaluated. Frequency stability was assessed using frequency nadir and second frequency dip, while rotor speed stability was evaluated by counting the number of turbines experiencing over-deceleration under varying wind conditions. The simulation results quantitatively compare the effects of each country's minimum requirements on both system and wind turbine stability.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.056
GPT teacher head0.347
Teacher spread0.292 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicWind Turbine Control SystemsFrench-language works237,207