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Record W1981332320 · doi:10.1049/cp:20080048

Enhanced adaptive protection method for capacitor banks

2008· article· en· W1981332320 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
TopicPower Systems Fault Detection
Canadian institutionsCustom Security Industries (Canada)
Fundersnot available
KeywordsCapacitorComputer scienceBusinessElectrical engineeringEngineeringVoltage

Abstract

fetched live from OpenAlex

This paper presents balance equations for ultra-sensitive protection of shunt capacitor banks taking into account both an inherent (pre-existing) unbalance in the protected bank, and an unbalance in the power system. Four methods are derived: voltage differential, neutral voltage unbalance, phase current unbalance, and neutral current unbalance. These methods are generalizations of the known protection techniques and allow for ultra-sensitive protection with no delay required to ride through system unbalance conditions, or degraded sensitivity to overcome inherent bank unbalance. Additionally, the methods are immune to homogeneous thermal or ageing changes in the capacitor bank, and to switching transients. These novel algorithms facilitate auto-setting of the capacitor bank relay - an automatic process of nulling out preexisting bank unbalance as well as constant errors in instrument transformers and the relay itself. The paper derives equations for the operation of auto-setting and explains the application of this concept. The principle of auto-setting is extended in this paper to provide for continuous adjustment of the relay for maximum sensitivity and security.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score0.408

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 head0.028
GPT teacher head0.247
Teacher spread0.220 · 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

Citations13
Published2008
Admission routes1
Has abstractyes

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