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Record W1976486005 · doi:10.1049/iet-gtd:20060472

High-speed backup scheme for zone 2 of non-pilot distance relays

2007· article· en· W1976486005 on OpenAlexaff
G. Rosas-Ortiz, T.S. Sidhu

Bibliographic record

VenueIET Generation Transmission & Distribution · 2007
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsWestern University
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsBackupRelayChannel (broadcasting)Computer scienceCircuit breakerFault (geology)Transmission (telecommunications)Real-time computingLine (geometry)Protective relayScheme (mathematics)Electric power transmissionComputer networkEngineeringElectrical engineeringTelecommunications

Abstract

fetched live from OpenAlex

Distance relays use time-stepped protection zones for coordination purposes. The time delay introduced by zone 2 relays limits the use of these devices for extra high voltage (EHV) applications, since the fast fault clearance requirement is not achieved. Normally, transmission lines are protected by means of intercommunicated protection schemes making use of a dedicated channel in order to overcome that delay; however, this channel is also prone to failure. Hence, it could be really advantageous to provide the line with fast protection coverage without making use of communication channels if a secure enough protection algorithm were developed for this specific purpose. An algorithm that is able to detect remote breaker operation and thus to accelerate the time-delayed zone 2 trip of local relay by monitoring changes in two proposed signals is presented. The algorithm performs adequately in two- and three-terminal lines as it is shown by computer simulation results. It is proposed that this algorithm can be used as a fast backup scheme to protect transmission lines in case main communication channel degrades, fails or is not available.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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 designBench or experimental
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

Citations17
Published2007
Admission routes1
Has abstractyes

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