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Record W2767627991 · doi:10.1109/ias.2017.8101885

A new digital protection for grid-connected battery storage systems

2017· article· en· W2767627991 on OpenAlex
S. A. Saleh, R. McSheffery, Ryan Meng

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 New Brunswick
Fundersnot available
KeywordsBattery (electricity)Electrical engineeringRelayModular designGridComputer scienceCircuit breakerFault (geology)Power (physics)Engineering

Abstract

fetched live from OpenAlex

In this paper, a new digital protection is developed and tested for grid-connected battery storage systems (BSSs). The proposed protection is designed using multiple digital relays that are located in different parts of the protected BSS. Each digital relay is featured with a phaselet-based fault detection. The outputs of the developed protection are trip signals to operate circuit breakers in the charging and discharging circuits, battery units, and point-of-common-coupling. The developed modular digital protection is implemented for simulation testing on a 250 kW grid-connected BSS that is charged through a 3φ ac-dc power electronic converter (PEC), and discharged through a 3φ dc-ac PEC. Simulation results show that the developed protection can initiate fast, accurate, and reliable responses to faults occurring in different parts of the protected BSS. These response features have negligible sensitivity to the type and/or location of faults, charge/discharge cycles of the BSS, and/or levels of power exchange with the host power system.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.749

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 communication0.0010.000
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 head0.018
GPT teacher head0.213
Teacher spread0.195 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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