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Record W2901990349 · doi:10.1109/ias.2018.8544587

On the Comparison Between the Protection Coordination and Digital Modular Protection for Grid-Connected Battery Storage Systems

2018· article· en· W2901990349 on OpenAlexaff
S. A. Saleh, Christian M. Richard, X. F. St. Onge, Julian Meng, Eduardo Castillo-Guerra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPower Systems Fault Detection
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsModular designGridInterlockingComputer scienceBattery storageEmbedded systemBattery (electricity)Distributed computingEngineeringReliability engineeringOperating system

Abstract

fetched live from OpenAlex

This paper presents a comparison between the protection coordination (time-setting and zone selection interlocking (ZSI)) and digital modular protection for applications in grid-connected battery storage systems (BSSs). The comparison between the these methods is made in terms of their structures, functionalities, and response capabilities. These criteria are selected to demonstrate the possible impacts of the system configuration and mode of operating a grid-connected BSS on the generated protective responses. The comparison between the time-setting and ZSI coordination, and digital modular protection methods is conducted different grid-connected BSSs, when operated for various fault and non-fault events. Test results show that the protection coordination methods can offer a simple structure that is accompanied with a specific functionality (TRIP and RESTRAIN). Moreover, test results show that the digital modular protection can offer a diverse functionality (TRIP., RESTRAIN., and ACTIVATE) and that is accompanied with mandates for a digital implementation.

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.

How this classification was reachedexpand

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: none
Teacher disagreement score0.780
Threshold uncertainty score0.453

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 head0.024
GPT teacher head0.226
Teacher spread0.202 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2018
Admission routes1
Has abstractyes

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