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Record W2109979466 · doi:10.1109/lescpe.2006.280379

Protective Relay Coordination for Micro-grid Operation Using Particle Swarm Optimization

2006· article· en· W2109979466 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
TopicPower Systems Fault Detection
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRelayOvercurrentGridParticle swarm optimizationComputer scienceMathematical optimizationNonlinear programmingInteger programmingNonlinear systemDistributed computingEngineeringElectrical engineeringCurrent (fluid)MathematicsAlgorithm

Abstract

fetched live from OpenAlex

With the increasing penetration of Distribution Generation (DG), micro-grid operation becomes an attractive and valuable option. In order for micro-grids to become a viable option, issues such as micro-grid control and protection must be addressed and well established. The paper focuses on micro-grid protection and proposes the use of directional overcurrent relays for protecting a micro-grid consisting of synchronous based DGs. The key issue in selecting the relay settings is to achieve the minimum possible operating times while maintaining coordination among all relays. In this paper, the relay coordination problem is formulated as a Mixed Integer Nonlinear Programming (MINLP) problem and is solved using Particle Swarm Optimization (PSO).

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 score0.821
Threshold uncertainty score0.447

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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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

Citations55
Published2006
Admission routes1
Has abstractyes

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