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Record W3175484321 · doi:10.1109/tpwrd.2021.3091401

Voltage-Assisted Sequence Current-Based Pilot Relaying for Lines With/Without TCSC

2021· article· en· W3175484321 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

VenueIEEE Transactions on Power Delivery · 2021
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsControllabilityElectric power transmissionCompensation (psychology)Computer scienceProtective relayData transmissionFault (geology)Transmission lineElectronic engineeringMaximum power transfer theoremElectric power systemElectrical engineeringTransmission (telecommunications)VoltageEngineeringPower (physics)

Abstract

fetched live from OpenAlex

Several schemes are available in the literature to protect transmission lines (TLs). These schemes are either transmission network-specific or require modifications in case of any changes in the TL structure. FACTS devices are often incorporated in TLs to increase power transfer and improve controllability and stability. There have been many developments in the field of protection of FACTS-TL. However, the search for a scheme that can successfully adapt to the system changes and can be applied to almost any transmission network to identify the line faults is still ongoing. With advancements in communication technology and global positioning system-enabled time-tagged data, the voltage and current data can be synchronized and, therefore, the pilot relaying may become more viable. Utilizing these technological advances, a digital pilot relaying scheme, for the protection of TLs with or without series compensation and any type of short-circuit fault under any loading condition, is proposed in this paper.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.899
Threshold uncertainty score1.000

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 head0.037
GPT teacher head0.264
Teacher spread0.227 · 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