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Record W2564358278 · doi:10.1109/appeec.2016.7779534

Development of AC microgrid test bench with Hydrogen fuel cell and renewable sources

2016· article· en· W2564358278 on OpenAlexaff
Alben Cardenas, Cristina Guzmán, Mohamed Chemsi, Kodjo Agbossou

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsMicrogridVoltage droopTest benchRenewable energyConvertersField-programmable gate arrayComputer scienceEngineeringPower electronicsElectric power systemPower (physics)VoltageAutomotive engineeringElectrical engineeringVoltage sourceEmbedded system

Abstract

fetched live from OpenAlex

This paper focuses on the implementation of local microgrid control applied to an isolated AC microgrid with PEM-FC system acting as main source and renewable sources used as power exporting sources. The AC microgrid works as an autonomous system, as in remote communities' applications, using D-Droop and I-Droop schemes which allow the operation of the multisource system without communication link among the power and voltage controllers. The local control system has been implemented in Field Programmable Gate Array (FPGA) and evaluated by simulation and by experiments with a PEMFC & renewable sources AC microgrid. The development of power electronics converters and the controllers which are based on FPGA technology is also presented. The simulation and experimental results confirm that the proposed local control can be applied in a real AC microgrid with good transient and steady state response to supply the AC load correctly.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.207

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 head0.003
GPT teacher head0.143
Teacher spread0.140 · 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 designBench or experimental
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

Citations5
Published2016
Admission routes1
Has abstractyes

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