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Record W2129244731 · doi:10.1109/pes.2011.6039426

Sub-synchronous control interactions between type 3 wind turbines and series compensated AC transmission systems

2011· article· en· W2129244731 on OpenAlexafffund
G.D. Irwin, Amit Kumar Jindal, Andrew Isaacs

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsElectrovaya (Canada)
FundersUniversity of Manitoba
KeywordsTurbineWind powerController (irrigation)ConvertersElectric power transmissionElectric power systemTransmission systemControl engineeringTransmission (telecommunications)Control systemEngineeringComputer sciencePower (physics)Electrical engineeringAerospace engineeringPhysicsVoltage

Abstract

fetched live from OpenAlex

Recent project experience and studies have shown that Type 3 wind turbine generators with power electronic converters and controls that operate near series compensated transmission lines are susceptible to un-damped sub-synchronous oscillations. This paper presents an overview of the Sub-Synchronous Control Interaction (SSCI) phenomenon. Simulations in PSCAD/EMTDC using a Type 3 wind turbine model are used to demonstrate SSCI, and the design of an SSCI damping controller is presented to help mitigate the problem. Recommendations are provided to wind turbine manufacturers, generation developers, and system planners to appropriately predict and mitigate SSCI concerns before they severely impact project and system development.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.208
Teacher spread0.189 · 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 source (direct Gemma or distilled Codex), 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

Citations227
Published2011
Admission routes2
Has abstractyes

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