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Record W2107541385 · doi:10.1109/tdc.2012.6281671

Advanced screening techniques for Sub-Synchronous Interaction in wind farms

2012· article· en· W2107541385 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
TopicPower System Optimization and Stability
Canadian institutionsUniversity of ManitobaResearch Manitoba
Fundersnot available
KeywordsTransient (computer programming)TurbineWind powerComputer sciencePower gridGuidelineTransient analysisElectric power systemGridEngineeringControl engineeringPower (physics)Electronic engineeringElectrical engineeringTransient responseAerospace engineeringMedicinePhysics

Abstract

fetched live from OpenAlex

This paper aims to outline comprehensive screening guidelines associated with the Sub Synchronous Control Interaction (SSCI) and Sub Synchronous Torsional Interaction (SSTI) for wind power plants. Specific guidelines and methodologies to identify the critical system conditions to be assessed for screening analysis are presented. The application of these techniques on a portion ERCOT grid model with series compensated lines has been demonstrated. Current injection based frequency scans on the system and turbine side are utilized. Based on these scans a guideline to identify the specific candidates for further investigation using Electro Magnetic Transient (EMT)-type simulation is proposed. The results of the screening study are further corroborated by the EMT based simulation case studies. An electrical damping analysis based screening technique for the analysis of SSTI has been presented. The SSTI screening studies have been further corroborated by means of EMT 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 categoriesnone
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 score0.899
Threshold uncertainty score0.282

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 head0.014
GPT teacher head0.259
Teacher spread0.245 · 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

Citations39
Published2012
Admission routes1
Has abstractyes

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