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Record W2544877833 · doi:10.1109/epc.2008.4763378

Local anti-islanding protection for distributed generators based on impedance measurements

2008· article· en· W2544877833 on OpenAlex
Jacek Kliber, Wencong Wang, Wilsun Xu

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
TopicIslanding Detection in Power Systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIslandingWaveformElectrical impedanceVoltageDistributed generationComputer scienceElectronic engineeringGridAC powerPower (physics)Electrical engineeringEngineeringPhysicsRenewable energyMathematics

Abstract

fetched live from OpenAlex

Distributed generators (DG), while working in conjunction with the main electricity grid, must have antiislanding protection. This paper presents a local detection scheme for distributed generators by using an SCR based device to draw a current pulse around the zero- crossing of the voltage waveform and analyzing the pulse to determine whether islanding has occurred. This method is based on the fact that the system impedance will change when islanding occurs, and therefore the current pulsepsilas characteristics will change. The peak of the current pulse is used to determine the impedance change and the decision to trip the DG. Theoretical analysis along with extensive computer simulations have shown that this method is largely independent on the system parameters and the proposed method was found capable of islanding detection very reliably. The proposed method has a negligible impact on the voltage waveform, thus reducing the power quality impact the device introduces.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.923
Threshold uncertainty score0.596

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 head0.041
GPT teacher head0.224
Teacher spread0.183 · 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

Citations10
Published2008
Admission routes1
Has abstractyes

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