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Record W2486452396 · doi:10.1109/pesw.2000.847325

Subtransmission system reliability enhancement using a thyristor controlled series capacitor

2002· article· en· W2486452396 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

Venue2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077) · 2002
Typearticle
Languageen
FieldEngineering
TopicOptimal Power Flow Distribution
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsThyristorReliability (semiconductor)CapacitorTransmission systemContext (archaeology)Point (geometry)EngineeringElectric power transmissionReliability engineeringSeries (stratigraphy)Transmission (telecommunications)Computer scienceElectronic engineeringElectrical engineeringVoltagePower (physics)Mathematics

Abstract

fetched live from OpenAlex

Summary form only given as follows. This paper examines the impact of thyristor controlled series capacitors (TCSC) on distribution substation system reliability. In this application, the TCSC are employed in a system to adjust the transmission infeed impedances and, therefore, increase the transmission system capacity without increasing the system fault current levels. In this context, a reliability model of a multi-module TCSC has been developed and incorporated in the transmission system. Two kinds of performance indices designated as the delivery-point and system indices are presented to examine the impact of TCSC on the subtransmission system reliability. The results of the investigations show a significant improvement in the delivery point and system reliability when utilizing the TCSC. The technique is illustrated by application to several different subtransmission schemes.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.945
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 spread0.177 · 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