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Record W2067104602 · doi:10.1109/epec.2012.6474951

Modal analysis of Type-1 wind farm connected to series compensated transmission line and LCC HVDC transmission line

2012· article· en· W2067104602 on OpenAlexaff
Akshaya Moharana, Rajiv K. Varma, Ravi Seethapathy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsHydro One (Canada)Western University
Fundersnot available
KeywordsTransmission lineInduction generatorElectric power transmissionRectifier (neural networks)Line (geometry)TurbineGenerator (circuit theory)Control theory (sociology)Electric power systemWind powerEngineeringElectrical engineeringElectronic engineeringComputer sciencePower (physics)PhysicsMathematicsMechanical engineering

Abstract

fetched live from OpenAlex

This papers presents a comprehensive analysis of the potential of sub-synchronous resonance (SSR) in Type-1 wind farms connected to Line Commutated Converter (LCC) based HVDC transmission line. Since series compensated lines are also known to cause induction generator effect SSR in Type 1 wind turbine generators, this paper also considers a series compensated line in parallel with the HVDC line for the investigation of potential SSR. CIGRE Benchmark HVDC system and IEEE First Benchmark system are considered as the study system components. A dynamic model of the study system is developed and linearized at several operating points for eigenvalue analysis of the potential of SSR. A sensitivity study of the SSR modes with respective to variation in different model parameter such as rectifier firing angle, DC line power flow, series compensation level is also reported. It is found that HVDC rectifier station current regulator does not interact with any sub-synchronous modes of the wind turbine generator. Hence, the operation of a Type-1 wind farm connected to series compensated line and HVDC line is may not be subject to SSR issues. However, when the wind farm operates radially with the series compensated line, it may experience SSR oscillation due to induction generator effect.

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)0.000
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.015
GPT teacher head0.239
Teacher spread0.224 · 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

Citations16
Published2012
Admission routes1
Has abstractyes

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