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Record W4388756667 · doi:10.1109/tpwrd.2023.3333807

Transformer Differential Protection During Geomagnetic Disturbances: A Hybrid Protection Scheme and Real-Time Validation Tests

2023· article· en· W4388756667 on OpenAlexaff
Babak Ahmadzadeh‐Shooshtari, Afshin Rezaei‐Zare

Bibliographic record

VenueIEEE Transactions on Power Delivery · 2023
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsYork University
Fundersnot available
KeywordsInrush currentGeomagnetically induced currentRelayProtective relayWaveformCurrent transformerTransformerDependabilityEngineeringDifferential protectionControl theory (sociology)Electronic engineeringPower-system protectionElectrical engineeringElectric power systemVoltageComputer scienceGeomagnetic stormEarth's magnetic fieldReliability engineeringPhysicsPower (physics)Magnetic field

Abstract

fetched live from OpenAlex

The transformer differential relays utilize harmonic blocking modules that are prone to block the relay operation for internal faults under the geomagnetically induced current (GIC) flow during geomagnetic disturbances (GMDs). In this paper, by running hardware-in-the-loop (HIL) tests on an advanced commercial differential relay, it is proven that the relay fails to operate for the in-zone terminal and turn faults due to the undesired harmonic blocking under the GIC condition, with and without current transformer (CT) saturation. A new protection scheme is proposed to ensure the relay unblocking during the GIC. The proposed scheme utilizes a hybrid GIC detection method that identifies the GIC conditions based on the raw/unfiltered waveforms and second harmonic phasors of differential currents. The performance of the waveform-based part of the hybrid method is improved by an average-based algorithm detecting the GIC by monitoring the average, maximum, and minimum values of differential current waveforms. The proposed scheme's dependability and security are extensively investigated in GIC- and non-GIC-based scenarios, including internal and external faults and inrush currents. Furthermore, the real-time tests prove the effectiveness of the proposed scheme in unblocking the relay for the in-zone faults while the transformer is subjected to the GIC.

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 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: Empirical
Teacher disagreement score0.188
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.198
Teacher spread0.188 · 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.

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

Citations6
Published2023
Admission routes1
Has abstractyes

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