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Single-Phase Ferroresonance in an Ungrounded System Causing Surge Arresters Failure during the System Energization

2021· article· en· W3162435075 on OpenAlexaff
Iraj Rahimi Pordanjani, Xiaodong Liang, Yunfei Wang, Astried Schneider

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic Properties and Applications
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsFerroresonance in electricity networksSurge arresterTransformerElectric power systemSurgeEngineeringOvervoltageRelayProtective relayPower-system protectionElectrical engineeringReliability engineeringPower (physics)VoltagePhysics

Abstract

fetched live from OpenAlex

Ferroresonance often occurs in power systems during system switching actions, which can create overvoltages and pose great risks to the equipment safety. In this paper, a single-phase ferroresonance incident during a system energization is presented, which occurred at a single-phase station service transformer in an ungrounded system, causing surge arresters' failure. The incident is investigated through PSCAD simulations and analytical analysis. The relay field record is used to compare with the simulation results in order to validate the PSCAD simulation model. Several case studies are conducted using PSCAD simulations to evaluate various contributing factors to this ferroresonance incident. The root cause of the incident is found to be the lack of ground during energization in the system. Field practices are recommended to be implemented before the system energization to avoid such incidents, which were proved to be effective by successfully energizing the system in the field following these practices.

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 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.344

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 head0.020
GPT teacher head0.238
Teacher spread0.218 · 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 teacher head, 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

Citations3
Published2021
Admission routes1
Has abstractyes

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