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Record W2019683160 · doi:10.1109/tsg.2014.2303857

Towards Smart Integration of Distributed Energy Resources Using Distributed Network Protocol Over Ethernet

2014· article· en· W2019683160 on OpenAlexaff
Esteban Padilla, Kodjo Agbossou, Alben Cardenas

Bibliographic record

VenueIEEE Transactions on Smart Grid · 2014
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Security and Resilience
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsSmart gridComputer sciencePower-line communicationEthernetCommunications protocolEmbedded systemComputer networkDistributed computingDistributed generationNetwork architectureEngineeringPower (physics)

Abstract

fetched live from OpenAlex

The Distributed Network Protocol (DNP3) is the communication protocol standardized by IEEE for electric power systems (EPS) and it is a promising communication standard in the context of Smart Grids. This paper presents the Distributed Network Protocol over Ethernet (E-DNP3) using field programmable gate array (FPGA) technology as the first step to the EPS automation. The communication architecture improves the delivery time comparing with previous works and provides an adaptable solution for real-time information exchange in electrical applications such as management, control, and protection of power systems. The developed work allows the analysis of the feasibility of the proposed communication architecture in a real microgrid scenario. This implementation accomplishes a new technique for the communication architecture in order to integrate the distributed energy resources (DERs) to the local power system. The experimental results prove that the proposed architecture satisfies the communication requirements for real-time monitoring and control of EPS towards Smart Grid applications.

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 categoriesMeta-epidemiology (narrow)
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 score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.240
Teacher spread0.226 · 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.

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

Citations35
Published2014
Admission routes1
Has abstractyes

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