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Record W2546550191 · doi:10.1109/cogen.2016.7728945

Real time simulation of a microgrid with multiple distributed energy resources

2016· article· en· W2546550191 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
TopicMicrogrid Control and Optimization
Canadian institutionsUniversity of ManitobaRTDS Technologies (Canada)
Fundersnot available
KeywordsMicrogridReal Time Digital SimulatorPhotovoltaic systemDistributed generationDiesel generatorTransient (computer programming)Computer scienceWind powerHardware-in-the-loop simulationTurbineRelayGridVoltagePower (physics)Control engineeringAutomotive engineeringRenewable energyEngineeringElectric power systemElectrical engineeringSimulationDiesel fuel

Abstract

fetched live from OpenAlex

In this research, a real-time simulation model of a medium voltage (MV) microgrid with distributed energy resources (DERs) was developed using the RTDS™ real-time digital simulator. The DERs in this microgrid include a diesel generator, a photovoltaic (PV) system, and a doubly-fed induction generator (DFIG) wind turbine system. The average-value models for the PV and DFIG power electronic interfaces were developed to reduce the hardware requirements on the RTDS. The steady state and transient response of the microgrid when in the grid-connected and islanded modes of operation was shown to give satisfactory performance. The microgrid was interfaced to a protection relay to demonstrate hardware in the loop simulations. This simulation model will be used in future research on developing microgrid protection solutions.

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 score0.585
Threshold uncertainty score0.181

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 head0.002
GPT teacher head0.156
Teacher spread0.154 · 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

Citations33
Published2016
Admission routes1
Has abstractyes

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