MétaCan
Menu
Back to cohort
Record W1506665898 · doi:10.1109/ptc.2015.7232264

Effect of DG modeling and controllers on the transient stability of micro-grids in EMT simulation

2015· article· en· W1506665898 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
Typearticle
Languageen
FieldEngineering
TopicIslanding Detection in Power Systems
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTransient (computer programming)Induction generatorControl theory (sociology)Stability (learning theory)Controller (irrigation)Wind powerComputer scienceDoubly fed electric machineGenerator (circuit theory)Permanent magnet synchronous generatorControl engineeringTransient responseDistributed generationEngineeringAC powerPower (physics)Renewable energyControl (management)VoltagePhysicsElectrical engineering

Abstract

fetched live from OpenAlex

Modeling of distributed generation and associated controllers have a considerable influence on the results of transient stability analysis. Synchronous generators and induction generators are two common types of generators which are used for distributed generation, for example in micro-turbines and wind turbines. In this paper, the effect of detail of modeling of synchronous generators on the transient stability is studied by consideration of five different models of synchronous generators. Also, the effect of controller on the transient stability is examined for an induction generator.

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)0.001
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 score0.039
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.234
Teacher spread0.216 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicIslanding Detection in Power SystemsFrench-language works237,207