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Record W2009613302 · doi:10.1109/pesgm.2012.6345135

A VSC-HVDC model with reduced computational intensity

2012· article· en· W2009613302 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
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsVoltage sourceConvertersTransient (computer programming)VoltageComputer scienceElectronic engineeringHigh-voltage direct currentPower (physics)Current sourceEmtpControl theory (sociology)Electric power systemEngineeringElectrical engineeringDirect currentPhysics

Abstract

fetched live from OpenAlex

The paper presents a simplified voltage-source converter (VSC) model to reduce the computational intensity of simulating a power system with embedded converters. This simplified model is based on the concept of dynamic average-value modeling and provides the ability to generate either the full spectrum or the fundamental-frequency component of the VSC voltage. The model is validated against a detailed model of a voltage-source converter based high voltage direct current (VSC-HVDC) circuit and shows accurate matching during steady state and transient operation. Simulation and validation results are obtained using an electromagnetic transient simulation program (PSCAD/EMTDC). A significant reduction in terms of central processing unit (CPU) time consumption is also achieved with the proposed models.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.559
Threshold uncertainty score0.187

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 head0.015
GPT teacher head0.205
Teacher spread0.190 · 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

Citations14
Published2012
Admission routes1
Has abstractyes

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