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Record W2325348353 · doi:10.1109/tia.2015.2394448

On the Design and Capacity of a Grounding Configuration for Grid-Connected <roman>DGUs</roman>

2015· article· en· W2325348353 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

VenueIEEE Transactions on Industry Applications · 2015
Typearticle
Languageen
FieldEngineering
TopicIslanding Detection in Power Systems
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGroundHarmonicsElectrical engineeringEngineeringFault (geology)IslandingWind powerConvertersPhotovoltaic systemVoltageElectronic engineeringDistributed generationRenewable energy

Abstract

fetched live from OpenAlex

Established standards and industrial codes, for interconnecting distributed generation units (DGUs), address voltage and frequency changes, levels and quality of injected power, islanding conditions, and protection. However, these standards and codes do not clearly address the grounding configurations for grid-connected DGUs. One of the challenges related to the grounding configuration for DGUs is the harmonics generated by power electronic converters employed in DGUs. These harmonics can raise the ground potentials and disrupt the function of ground fault protection. This paper develops and tests a frequency-selective grounding configuration for grid-connected DGUs. The developed grounding configuration offers limiting ground potentials and ground fault currents, while imposing negligible impacts on the function of ground fault protective devices. The frequency-selective grounding configuration is designed and tested for two wind energy conversion systems and a photovoltaic system. Test results show that the developed grounding configuration achieves its objectives with negligible impacts on the grounded DGU and its ground fault protection.

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)0.001
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: none
Teacher disagreement score0.930
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.241
Teacher spread0.193 · 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