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Record W2123496609 · doi:10.1109/ccece.2004.1345306

Islanding protection evaluation of inverter-based grid-connected hybrid renewable energy system

2004· article· en· W2123496609 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIslanding Detection in Power Systems
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersNatural Resources CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsIslandingGridInverterPhotovoltaic systemRenewable energyComputer scienceWind powerElectrical engineeringGrid-connected photovoltaic power systemElectric power systemDistributed generationMaximum power point trackingVoltageReliability engineeringPower (physics)Engineering

Abstract

fetched live from OpenAlex

To be connected to the utility grid, renewable energy systems must provide high quality power, guarantee safe interaction with the grid, and be protected from abnormal operating conditions, including islanding. The paper presents islanding protection methods relevant to the Hydrogen Research Institute's photovoltaic/wind hybrid system, and the particularities of grid-connected inverters. A commercial system is tested to make sure its utility disconnect, over/under voltage and over/under frequency protection systems operate properly. Grid-connected inverters are classified based on commutation technique and an overview of islanding protection methods is presented.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.205
Teacher spread0.185 · 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

Citations12
Published2004
Admission routes2
Has abstractyes

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