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Record W2888130270 · doi:10.1109/tdc.2018.8440505

Transient Electromagnetic Emission Analysis Used to Study Controlled Switching of Ungrounded Shunt Capacitor Banks

2018· article· en· W2888130270 on OpenAlexaffabout
René Doche, Ryszard Pater, Sébastien Poirier, M Lamarche, Y. Filion

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsHydro-Québec
Fundersnot available
KeywordsInrush currentTransient (computer programming)CapacitorOvervoltageElectrical engineeringDecoupling capacitorTransient analysisSynchronization (alternating current)VoltageElectric power systemEngineeringComputer sciencePower (physics)Transient responsePhysicsTopology (electrical circuits)Transformer

Abstract

fetched live from OpenAlex

Controlled switching has been used on Hydro-Quebec's high voltage (HV) network for about 25 years. Controlled switching has been generally proven to be quite efficient in controlling inrush currents and transient overvoltages. However, in certain circumstances, the system behaves in unexpected ways due to multiple prestrikes and dynamic voltage sharing between interconnected interrupters. This study focuses on switching capacitor banks with an ungrounded neutral. An innovative diagnostic system based on transient electromagnetic emissions analysis is used to confirm the presence of multiple prestrikes during energization of ungrounded capacitor bank. Simulations show that the third phase to close can be subjected to unexpected overvoltages which can result in a premature electrical making instant thus causing synchronization alarms and high inrush currents. This paper presents an analysis when switching a 120 kV 96 Mvar ungrounded neutral capacitor bank, using results obtained from the described system. Finally an optimized switching scheme is discussed.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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