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Performance of Phase Comparison Line Protection Under Inverter-Based Resources and Impact of the German Grid Code

2020· article· en· W3114185216 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
TopicHVDC Systems and Fault Protection
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsInverterLine (geometry)GridGrid codeFault (geology)Phase (matter)Computer sciencePower (physics)Generator (circuit theory)Short circuitThree-phaseReliability engineeringElectrical engineeringEngineeringAC powerVoltagePhysics

Abstract

fetched live from OpenAlex

This paper studies the impact of inverter-based resources (IBRs) on the performance of phase comparison (PC) pilot line protection. The PC protection compares the phase angle of currents entering the zone of protection to detect a fault within the zone. IBRs have different fault current phase angle characteristics compared to conventional synchronous generators (SGs). This may have a detrimental impact on the performance of customary phase comparison protection schemes designed based on the assumption of a SG dominated power system. This paper provides examples of PC misoperation due to full-size converter (FSC) wind turbine generator (WTG). The case studies include various PC schemes including negative-sequence and mixed excitation and shows their misoperation. In both cases, the cause of misoperation is a shift in the phase angle of zone currents causing the PC to mistakenly classify an internal fault as external. The paper further studies the effectiveness of the German grid code in resolving the misoperation issue.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score0.195

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 head0.035
GPT teacher head0.283
Teacher spread0.248 · 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

Citations16
Published2020
Admission routes1
Has abstractyes

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