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Record W2097138395 · doi:10.1109/pesw.2001.917003

Control of capacitor commutated converters in long cable HVDC-transmission

2002· article· en· W2097138395 on OpenAlex
M. Meisingset, A.M. Gole

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

Venue2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194) · 2002
Typearticle
Languageen
FieldEngineering
TopicHVDC Systems and Fault Protection
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHVDC converter stationCapacitorHVDC converterConvertersTransient (computer programming)Transmission (telecommunications)Electric power transmissionInverterElectrical engineeringEngineeringTransmission systemElectricityTopology (electrical circuits)Electronic engineeringComputer scienceVoltage

Abstract

fetched live from OpenAlex

HVDC transmission over long distances is becoming more common, partly due to the deregulated environment in the electricity industry. The capacitor commutated converter (CCC) is a new type of HVDC converter topology which shows promise for use in long distance transmission via cables. This technology is, thus, a potential candidate for use in HVDC transmission across large bodies of water. Several HVDC-connections with cable lengths of about 600 km are currently in the planning stage in Northern Europe. This paper proposes two possible control options for such extremely long cable HVDC-connections. The suitability of these control alternatives in a CCC-inverter based HVDC-scheme terminating in a weak AC-network, is investigated using electromagnetic transient simulation.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.187
Teacher spread0.178 · 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